%0 Journal Article %J Hum Mol Genet %D 2022 %T Whole-exome sequencing of 14 389 individuals from the ESP and CHARGE consortia identifies novel rare variation associated with hemostatic factors. %A Pankratz, Nathan %A Wei, Peng %A Brody, Jennifer A %A Chen, Ming-Huei %A de Vries, Paul S %A Huffman, Jennifer E %A Stimson, Mary Rachel %A Auer, Paul L %A Eric Boerwinkle %A Cushman, Mary %A de Maat, Moniek P M %A Folsom, Aaron R %A Franco, Oscar H %A Richard A Gibbs %A Haagenson, Kelly K %A Hofman, Albert %A Johnsen, Jill M %A Kovar, Christie L %A Kraaij, Robert %A McKnight, Barbara %A Ginger A Metcalf %A Donna M Muzny %A Psaty, Bruce M %A Tang, Weihong %A Uitterlinden, André G %A van Rooij, Jeroen G J %A Dehghan, Abbas %A O'Donnell, Christopher J %A Reiner, Alex P %A Morrison, Alanna C %A Smith, Nicholas L %K Exome Sequencing %K Factor VII %K Factor VIII %K Fibrinogen %K Hemostatics %K Humans %K Polymorphism, Single Nucleotide %K von Willebrand Factor %X

Plasma levels of fibrinogen, coagulation factors VII and VIII and von Willebrand factor (vWF) are four intermediate phenotypes that are heritable and have been associated with the risk of clinical thrombotic events. To identify rare and low-frequency variants associated with these hemostatic factors, we conducted whole-exome sequencing in 10 860 individuals of European ancestry (EA) and 3529 African Americans (AAs) from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium and the National Heart, Lung and Blood Institute's Exome Sequencing Project. Gene-based tests demonstrated significant associations with rare variation (minor allele frequency < 5%) in fibrinogen gamma chain (FGG) (with fibrinogen, P = 9.1 × 10-13), coagulation factor VII (F7) (with factor VII, P = 1.3 × 10-72; seven novel variants) and VWF (with factor VIII and vWF; P = 3.2 × 10-14; one novel variant). These eight novel rare variant associations were independent of the known common variants at these loci and tended to have much larger effect sizes. In addition, one of the rare novel variants in F7 was significantly associated with an increased risk of venous thromboembolism in AAs (Ile200Ser; rs141219108; P = 4.2 × 10-5). After restricting gene-based analyses to only loss-of-function variants, a novel significant association was detected and replicated between factor VIII levels and a stop-gain mutation exclusive to AAs (rs3211938) in CD36 molecule (CD36). This variant has previously been linked to dyslipidemia but not with the levels of a hemostatic factor. These efforts represent the largest integration of whole-exome sequence data from two national projects to identify genetic variation associated with plasma hemostatic factors.

%B Hum Mol Genet %V 31 %P 3120-3132 %8 2022 Sep 10 %G eng %N 18 %1 https://www.ncbi.nlm.nih.gov/pubmed/35552711?dopt=Abstract %R 10.1093/hmg/ddac100 %0 Journal Article %J PLoS One %D 2020 %T Genetic loci associated with prevalent and incident myocardial infarction and coronary heart disease in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. %A Hahn, Julie %A Fu, Yi-Ping %A Brown, Michael R %A Bis, Joshua C %A de Vries, Paul S %A Feitosa, Mary F %A Yanek, Lisa R %A Weiss, Stefan %A Giulianini, Franco %A Smith, Albert Vernon %A Guo, Xiuqing %A Bartz, Traci M %A Becker, Diane M %A Becker, Lewis C %A Eric Boerwinkle %A Brody, Jennifer A %A Chen, Yii-Der Ida %A Franco, Oscar H %A Grove, Megan %A Harris, Tamara B %A Hofman, Albert %A Hwang, Shih-Jen %A Kral, Brian G %A Launer, Lenore J %A Markus, Marcello R P %A Rice, Kenneth M %A Rich, Stephen S %A Ridker, Paul M %A Rivadeneira, Fernando %A Rotter, Jerome I %A Sotoodehnia, Nona %A Taylor, Kent D %A Uitterlinden, André G %A Völker, Uwe %A Völzke, Henry %A Yao, Jie %A Chasman, Daniel I %A Dörr, Marcus %A Gudnason, Vilmundur %A Mathias, Rasika A %A Post, Wendy %A Psaty, Bruce M %A Dehghan, Abbas %A O'Donnell, Christopher J %A Morrison, Alanna C %K Aging %K Coronary Artery Disease %K Cross-Sectional Studies %K Europe %K Genetic Loci %K Genome-Wide Association Study %K Humans %K Myocardial Infarction %K Polymorphism, Single Nucleotide %K Prospective Studies %K White People %X

BACKGROUND: Genome-wide association studies have identified multiple genomic loci associated with coronary artery disease, but most are common variants in non-coding regions that provide limited information on causal genes and etiology of the disease. To overcome the limited scope that common variants provide, we focused our investigation on low-frequency and rare sequence variations primarily residing in coding regions of the genome.

METHODS AND RESULTS: Using samples of individuals of European ancestry from ten cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, both cross-sectional and prospective analyses were conducted to examine associations between genetic variants and myocardial infarction (MI), coronary heart disease (CHD), and all-cause mortality following these events. For prevalent events, a total of 27,349 participants of European ancestry, including 1831 prevalent MI cases and 2518 prevalent CHD cases were used. For incident cases, a total of 55,736 participants of European ancestry were included (3,031 incident MI cases and 5,425 incident CHD cases). There were 1,860 all-cause deaths among the 3,751 MI and CHD cases from six cohorts that contributed to the analysis of all-cause mortality. Single variant and gene-based analyses were performed separately in each cohort and then meta-analyzed for each outcome. A low-frequency intronic variant (rs988583) in PLCL1 was significantly associated with prevalent MI (OR = 1.80, 95% confidence interval: 1.43, 2.27; P = 7.12 × 10-7). We conducted gene-based burden tests for genes with a cumulative minor allele count (cMAC) ≥ 5 and variants with minor allele frequency (MAF) < 5%. TMPRSS5 and LDLRAD1 were significantly associated with prevalent MI and CHD, respectively, and RC3H2 and ANGPTL4 were significantly associated with incident MI and CHD, respectively. No loci were significantly associated with all-cause mortality following a MI or CHD event.

CONCLUSION: This study identified one known locus (ANGPTL4) and four new loci (PLCL1, RC3H2, TMPRSS5, and LDLRAD1) associated with cardiovascular disease risk that warrant further investigation.

%B PLoS One %V 15 %P e0230035 %8 2020 %G eng %N 11 %1 https://www.ncbi.nlm.nih.gov/pubmed/33186364?dopt=Abstract %R 10.1371/journal.pone.0230035 %0 Journal Article %J Circulation %D 2019 %T Genome-Wide Association Transethnic Meta-Analyses Identifies Novel Associations Regulating Coagulation Factor VIII and von Willebrand Factor Plasma Levels. %A Sabater-Lleal, Maria %A Huffman, Jennifer E %A de Vries, Paul S %A Marten, Jonathan %A Mastrangelo, Michael A %A Song, Ci %A Pankratz, Nathan %A Ward-Caviness, Cavin K %A Yanek, Lisa R %A Trompet, Stella %A Delgado, Graciela E %A Guo, Xiuqing %A Bartz, Traci M %A Martinez-Perez, Angel %A Germain, Marine %A de Haan, Hugoline G %A Ozel, Ayse B %A Polasek, Ozren %A Smith, Albert V %A Eicher, John D %A Reiner, Alex P %A Tang, Weihong %A Davies, Neil M %A Stott, David J %A Rotter, Jerome I %A Tofler, Geoffrey H %A Eric Boerwinkle %A de Maat, Moniek P M %A Kleber, Marcus E %A Welsh, Paul %A Brody, Jennifer A %A Chen, Ming-Huei %A Vaidya, Dhananjay %A Soria, José Manuel %A Suchon, Pierre %A van Hylckama Vlieg, Astrid %A Desch, Karl C %A Kolcic, Ivana %A Joshi, Peter K %A Launer, Lenore J %A Harris, Tamara B %A Campbell, Harry %A Rudan, Igor %A Becker, Diane M %A Li, Jun Z %A Rivadeneira, Fernando %A Uitterlinden, André G %A Hofman, Albert %A Franco, Oscar H %A Cushman, Mary %A Psaty, Bruce M %A Morange, Pierre-Emmanuel %A McKnight, Barbara %A Chong, Michael R %A Fernandez-Cadenas, Israel %A Rosand, Jonathan %A Lindgren, Arne %A Gudnason, Vilmundur %A Wilson, James F %A Hayward, Caroline %A Ginsburg, David %A Fornage, Myriam %A Rosendaal, Frits R %A Souto, Juan Carlos %A Becker, Lewis C %A Jenny, Nancy S %A Marz, Winfried %A Jukema, J Wouter %A Dehghan, Abbas %A Trégouët, David-Alexandre %A Morrison, Alanna C %A Johnson, Andrew D %A O'Donnell, Christopher J %A Strachan, David P %A Lowenstein, Charles J %A Smith, Nicholas L %K Arterial Occlusive Diseases %K Biomarkers %K Blood Coagulation %K Blood Coagulation Disorders, Inherited %K Factor VIII %K Genetic Loci %K Genetic Markers %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Humans %K Mendelian Randomization Analysis %K Phenotype %K Ribosomal Protein L3 %K Risk Factors %K Venous Thrombosis %K von Willebrand Factor %X

BACKGROUND: Factor VIII (FVIII) and its carrier protein von Willebrand factor (VWF) are associated with risk of arterial and venous thrombosis and with hemorrhagic disorders. We aimed to identify and functionally test novel genetic associations regulating plasma FVIII and VWF.

METHODS: We meta-analyzed genome-wide association results from 46 354 individuals of European, African, East Asian, and Hispanic ancestry. All studies performed linear regression analysis using an additive genetic model and associated ≈35 million imputed variants with natural log-transformed phenotype levels. In vitro gene silencing in cultured endothelial cells was performed for candidate genes to provide additional evidence on association and function. Two-sample Mendelian randomization analyses were applied to test the causal role of FVIII and VWF plasma levels on the risk of arterial and venous thrombotic events.

RESULTS: We identified 13 novel genome-wide significant ( P≤2.5×10) associations, 7 with FVIII levels ( FCHO2/TMEM171/TNPO1, HLA, SOX17/RP1, LINC00583/NFIB, RAB5C-KAT2A, RPL3/TAB1/SYNGR1, and ARSA) and 11 with VWF levels ( PDHB/PXK/KCTD6, SLC39A8, FCHO2/TMEM171/TNPO1, HLA, GIMAP7/GIMAP4, OR13C5/NIPSNAP, DAB2IP, C2CD4B, RAB5C-KAT2A, TAB1/SYNGR1, and ARSA), beyond 10 previously reported associations with these phenotypes. Functional validation provided further evidence of association for all loci on VWF except ARSA and DAB2IP. Mendelian randomization suggested causal effects of plasma FVIII activity levels on venous thrombosis and coronary artery disease risk and plasma VWF levels on ischemic stroke risk.

CONCLUSIONS: The meta-analysis identified 13 novel genetic loci regulating FVIII and VWF plasma levels, 10 of which we validated functionally. We provide some evidence for a causal role of these proteins in thrombotic events.

%B Circulation %V 139 %P 620-635 %8 2019 Jan 29 %G eng %N 5 %1 https://www.ncbi.nlm.nih.gov/pubmed/30586737?dopt=Abstract %R 10.1161/CIRCULATIONAHA.118.034532 %0 Journal Article %J PLoS One %D 2019 %T Mendelian randomization evaluation of causal effects of fibrinogen on incident coronary heart disease. %A Ward-Caviness, Cavin K %A de Vries, Paul S %A Wiggins, Kerri L %A Huffman, Jennifer E %A Yanek, Lisa R %A Bielak, Lawrence F %A Giulianini, Franco %A Guo, Xiuqing %A Kleber, Marcus E %A Kacprowski, Tim %A Groß, Stefan %A Petersman, Astrid %A Davey Smith, George %A Hartwig, Fernando P %A Bowden, Jack %A Hemani, Gibran %A Müller-Nuraysid, Martina %A Strauch, Konstantin %A Koenig, Wolfgang %A Waldenberger, Melanie %A Meitinger, Thomas %A Pankratz, Nathan %A Eric Boerwinkle %A Tang, Weihong %A Fu, Yi-Ping %A Johnson, Andrew D %A Song, Ci %A de Maat, Moniek P M %A Uitterlinden, André G %A Franco, Oscar H %A Brody, Jennifer A %A McKnight, Barbara %A Chen, Yii-Der Ida %A Psaty, Bruce M %A Mathias, Rasika A %A Becker, Diane M %A Peyser, Patricia A %A Smith, Jennifer A %A Bielinski, Suzette J %A Ridker, Paul M %A Taylor, Kent D %A Yao, Jie %A Tracy, Russell %A Delgado, Graciela %A Trompet, Stella %A Sattar, Naveed %A Jukema, J Wouter %A Becker, Lewis C %A Kardia, Sharon L R %A Rotter, Jerome I %A Marz, Winfried %A Dörr, Marcus %A Chasman, Daniel I %A Dehghan, Abbas %A O'Donnell, Christopher J %A Smith, Nicholas L %A Peters, Annette %A Morrison, Alanna C %K Alleles %K Coronary Disease %K Fibrinogen %K Genetic Pleiotropy %K Genetic Variation %K Genome-Wide Association Study %K Humans %K Incidence %K Mendelian Randomization Analysis %K Models, Genetic %K Multivariate Analysis %K Myocardial Infarction %K Odds Ratio %X

BACKGROUND: Fibrinogen is an essential hemostatic factor and cardiovascular disease risk factor. Early attempts at evaluating the causal effect of fibrinogen on coronary heart disease (CHD) and myocardial infraction (MI) using Mendelian randomization (MR) used single variant approaches, and did not take advantage of recent genome-wide association studies (GWAS) or multi-variant, pleiotropy robust MR methodologies.

METHODS AND FINDINGS: We evaluated evidence for a causal effect of fibrinogen on both CHD and MI using MR. We used both an allele score approach and pleiotropy robust MR models. The allele score was composed of 38 fibrinogen-associated variants from recent GWAS. Initial analyses using the allele score used a meta-analysis of 11 European-ancestry prospective cohorts, free of CHD and MI at baseline, to examine incidence CHD and MI. We also applied 2 sample MR methods with data from a prevalent CHD and MI GWAS. Results are given in terms of the hazard ratio (HR) or odds ratio (OR), depending on the study design, and associated 95% confidence interval (CI). In single variant analyses no causal effect of fibrinogen on CHD or MI was observed. In multi-variant analyses using incidence CHD cases and the allele score approach, the estimated causal effect (HR) of a 1 g/L higher fibrinogen concentration was 1.62 (CI = 1.12, 2.36) when using incident cases and the allele score approach. In 2 sample MR analyses that accounted for pleiotropy, the causal estimate (OR) was reduced to 1.18 (CI = 0.98, 1.42) and 1.09 (CI = 0.89, 1.33) in the 2 most precise (smallest CI) models, out of 4 models evaluated. In the 2 sample MR analyses for MI, there was only very weak evidence of a causal effect in only 1 out of 4 models.

CONCLUSIONS: A small causal effect of fibrinogen on CHD is observed using multi-variant MR approaches which account for pleiotropy, but not single variant MR approaches. Taken together, results indicate that even with large sample sizes and multi-variant approaches MR analyses still cannot exclude the null when estimating the causal effect of fibrinogen on CHD, but that any potential causal effect is likely to be much smaller than observed in epidemiological studies.

%B PLoS One %V 14 %P e0216222 %8 2019 %G eng %N 5 %1 https://www.ncbi.nlm.nih.gov/pubmed/31075152?dopt=Abstract %R 10.1371/journal.pone.0216222 %0 Journal Article %J Am J Epidemiol %D 2019 %T Multiancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions. %A de Vries, Paul S %A Brown, Michael R %A Bentley, Amy R %A Sung, Yun J %A Winkler, Thomas W %A Ntalla, Ioanna %A Schwander, Karen %A Kraja, Aldi T %A Guo, Xiuqing %A Franceschini, Nora %A Cheng, Ching-Yu %A Sim, Xueling %A Vojinovic, Dina %A Huffman, Jennifer E %A Musani, Solomon K %A Li, Changwei %A Feitosa, Mary F %A Richard, Melissa A %A Noordam, Raymond %A Aschard, Hugues %A Bartz, Traci M %A Bielak, Lawrence F %A Deng, Xuan %A Dorajoo, Rajkumar %A Lohman, Kurt K %A Manning, Alisa K %A Rankinen, Tuomo %A Smith, Albert V %A Tajuddin, Salman M %A Evangelou, Evangelos %A Graff, Mariaelisa %A Alver, Maris %A Boissel, Mathilde %A Chai, Jin Fang %A Chen, Xu %A Divers, Jasmin %A Gandin, Ilaria %A Gao, Chuan %A Goel, Anuj %A Hagemeijer, Yanick %A Harris, Sarah E %A Hartwig, Fernando P %A He, Meian %A Horimoto, Andrea R V R %A Hsu, Fang-Chi %A Jackson, Anne U %A Kasturiratne, Anuradhani %A Komulainen, Pirjo %A Kühnel, Brigitte %A Laguzzi, Federica %A Lee, Joseph H %A Luan, Jian'an %A Lyytikäinen, Leo-Pekka %A Matoba, Nana %A Nolte, Ilja M %A Pietzner, Maik %A Riaz, Muhammad %A Said, M Abdullah %A Scott, Robert A %A Sofer, Tamar %A Stančáková, Alena %A Takeuchi, Fumihiko %A Tayo, Bamidele O %A van der Most, Peter J %A Varga, Tibor V %A Wang, Yajuan %A Ware, Erin B %A Wen, Wanqing %A Yanek, Lisa R %A Zhang, Weihua %A Zhao, Jing Hua %A Afaq, Saima %A Amin, Najaf %A Amini, Marzyeh %A Arking, Dan E %A Aung, Tin %A Ballantyne, Christie %A Eric Boerwinkle %A Broeckel, Ulrich %A Campbell, Archie %A Canouil, Mickaël %A Charumathi, Sabanayagam %A Chen, Yii-Der Ida %A Connell, John M %A de Faire, Ulf %A de Las Fuentes, Lisa %A de Mutsert, Renée %A de Silva, H Janaka %A Ding, Jingzhong %A Dominiczak, Anna F %A Duan, Qing %A Eaton, Charles B %A Eppinga, Ruben N %A Faul, Jessica D %A Fisher, Virginia %A Forrester, Terrence %A Franco, Oscar H %A Friedlander, Yechiel %A Ghanbari, Mohsen %A Giulianini, Franco %A Grabe, Hans J %A Grove, Megan L %A Gu, C Charles %A Harris, Tamara B %A Heikkinen, Sami %A Heng, Chew-Kiat %A Hirata, Makoto %A Hixson, James E %A Howard, Barbara V %A Ikram, M Arfan %A Jacobs, David R %A Johnson, Craig %A Jonas, Jost Bruno %A Kammerer, Candace M %A Katsuya, Tomohiro %A Khor, Chiea Chuen %A Kilpeläinen, Tuomas O %A Koh, Woon-Puay %A Koistinen, Heikki A %A Kolcic, Ivana %A Kooperberg, Charles %A Krieger, Jose E %A Kritchevsky, Steve B %A Kubo, Michiaki %A Kuusisto, Johanna %A Lakka, Timo A %A Langefeld, Carl D %A Langenberg, Claudia %A Launer, Lenore J %A Lehne, Benjamin %A Lemaitre, Rozenn N %A Li, Yize %A Liang, Jingjing %A Liu, Jianjun %A Liu, Kiang %A Loh, Marie %A Louie, Tin %A Mägi, Reedik %A Manichaikul, Ani W %A McKenzie, Colin A %A Meitinger, Thomas %A Metspalu, Andres %A Milaneschi, Yuri %A Milani, Lili %A Mohlke, Karen L %A Mosley, Thomas H %A Mukamal, Kenneth J %A Nalls, Mike A %A Nauck, Matthias %A Nelson, Christopher P %A Sotoodehnia, Nona %A O'Connell, Jeff R %A Palmer, Nicholette D %A Pazoki, Raha %A Pedersen, Nancy L %A Peters, Annette %A Peyser, Patricia A %A Polasek, Ozren %A Poulter, Neil %A Raffel, Leslie J %A Raitakari, Olli T %A Reiner, Alex P %A Rice, Treva K %A Rich, Stephen S %A Robino, Antonietta %A Robinson, Jennifer G %A Rose, Lynda M %A Rudan, Igor %A Schmidt, Carsten O %A Schreiner, Pamela J %A Scott, William R %A Sever, Peter %A Shi, Yuan %A Sidney, Stephen %A Sims, Mario %A Smith, Blair H %A Smith, Jennifer A %A Snieder, Harold %A Starr, John M %A Strauch, Konstantin %A Tan, Nicholas %A Taylor, Kent D %A Teo, Yik Ying %A Tham, Yih Chung %A Uitterlinden, André G %A van Heemst, Diana %A Vuckovic, Dragana %A Waldenberger, Melanie %A Wang, Lihua %A Wang, Yujie %A Wang, Zhe %A Wei, Wen Bin %A Williams, Christine %A Wilson, Gregory %A Wojczynski, Mary K %A Yao, Jie %A Yu, Bing %A Yu, Caizheng %A Yuan, Jian-Min %A Zhao, Wei %A Zonderman, Alan B %A Becker, Diane M %A Boehnke, Michael %A Bowden, Donald W %A Chambers, John C %A Deary, Ian J %A Esko, Tõnu %A Farrall, Martin %A Franks, Paul W %A Freedman, Barry I %A Froguel, Philippe %A Gasparini, Paolo %A Gieger, Christian %A Horta, Bernardo L %A Kamatani, Yoichiro %A Kato, Norihiro %A Kooner, Jaspal S %A Laakso, Markku %A Leander, Karin %A Lehtimäki, Terho %A Magnusson, Patrik K E %A Penninx, Brenda %A Pereira, Alexandre C %A Rauramaa, Rainer %A Samani, Nilesh J %A Scott, James %A Shu, Xiao-Ou %A van der Harst, Pim %A Wagenknecht, Lynne E %A Wang, Ya Xing %A Wareham, Nicholas J %A Watkins, Hugh %A Weir, David R %A Wickremasinghe, Ananda R %A Zheng, Wei %A Elliott, Paul %A North, Kari E %A Bouchard, Claude %A Evans, Michele K %A Gudnason, Vilmundur %A Liu, Ching-Ti %A Liu, Yongmei %A Psaty, Bruce M %A Ridker, Paul M %A van Dam, Rob M %A Kardia, Sharon L R %A Zhu, Xiaofeng %A Rotimi, Charles N %A Mook-Kanamori, Dennis O %A Fornage, Myriam %A Kelly, Tanika N %A Fox, Ervin R %A Hayward, Caroline %A van Duijn, Cornelia M %A Tai, E Shyong %A Wong, Tien Yin %A Liu, Jingmin %A Rotter, Jerome I %A Gauderman, W James %A Province, Michael A %A Munroe, Patricia B %A Rice, Kenneth %A Chasman, Daniel I %A Cupples, L Adrienne %A Rao, Dabeeru C %A Morrison, Alanna C %K Adolescent %K Adult %K Aged %K Alcohol Drinking %K Cholesterol, HDL %K Cholesterol, LDL %K Female %K Genome-Wide Association Study %K Genotype %K Humans %K Life Style %K Lipids %K Male %K Middle Aged %K Phenotype %K Racial Groups %K Triglycerides %K Vascular Endothelial Growth Factor B %K Young Adult %X

A person's lipid profile is influenced by genetic variants and alcohol consumption, but the contribution of interactions between these exposures has not been studied. We therefore incorporated gene-alcohol interactions into a multiancestry genome-wide association study of levels of high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides. We included 45 studies in stage 1 (genome-wide discovery) and 66 studies in stage 2 (focused follow-up), for a total of 394,584 individuals from 5 ancestry groups. Analyses covered the period July 2014-November 2017. Genetic main effects and interaction effects were jointly assessed by means of a 2-degrees-of-freedom (df) test, and a 1-df test was used to assess the interaction effects alone. Variants at 495 loci were at least suggestively associated (P < 1 × 10-6) with lipid levels in stage 1 and were evaluated in stage 2, followed by combined analyses of stage 1 and stage 2. In the combined analysis of stages 1 and 2, a total of 147 independent loci were associated with lipid levels at P < 5 × 10-8 using 2-df tests, of which 18 were novel. No genome-wide-significant associations were found testing the interaction effect alone. The novel loci included several genes (proprotein convertase subtilisin/kexin type 5 (PCSK5), vascular endothelial growth factor B (VEGFB), and apolipoprotein B mRNA editing enzyme, catalytic polypeptide 1 (APOBEC1) complementation factor (A1CF)) that have a putative role in lipid metabolism on the basis of existing evidence from cellular and experimental models.

%B Am J Epidemiol %V 188 %P 1033-1054 %8 2019 Jun 01 %G eng %N 6 %1 https://www.ncbi.nlm.nih.gov/pubmed/30698716?dopt=Abstract %R 10.1093/aje/kwz005 %0 Journal Article %J Hum Mol Genet %D 2019 %T A multi-ancestry genome-wide study incorporating gene-smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure. %A Sung, Yun Ju %A de Las Fuentes, Lisa %A Winkler, Thomas W %A Chasman, Daniel I %A Bentley, Amy R %A Kraja, Aldi T %A Ntalla, Ioanna %A Warren, Helen R %A Guo, Xiuqing %A Schwander, Karen %A Manning, Alisa K %A Brown, Michael R %A Aschard, Hugues %A Feitosa, Mary F %A Franceschini, Nora %A Lu, Yingchang %A Cheng, Ching-Yu %A Sim, Xueling %A Vojinovic, Dina %A Marten, Jonathan %A Musani, Solomon K %A Kilpeläinen, Tuomas O %A Richard, Melissa A %A Aslibekyan, Stella %A Bartz, Traci M %A Dorajoo, Rajkumar %A Li, Changwei %A Liu, Yongmei %A Rankinen, Tuomo %A Smith, Albert Vernon %A Tajuddin, Salman M %A Tayo, Bamidele O %A Zhao, Wei %A Zhou, Yanhua %A Matoba, Nana %A Sofer, Tamar %A Alver, Maris %A Amini, Marzyeh %A Boissel, Mathilde %A Chai, Jin Fang %A Chen, Xu %A Divers, Jasmin %A Gandin, Ilaria %A Gao, Chuan %A Giulianini, Franco %A Goel, Anuj %A Harris, Sarah E %A Hartwig, Fernando P %A He, Meian %A Horimoto, Andrea R V R %A Hsu, Fang-Chi %A Jackson, Anne U %A Kammerer, Candace M %A Kasturiratne, Anuradhani %A Komulainen, Pirjo %A Kühnel, Brigitte %A Leander, Karin %A Lee, Wen-Jane %A Lin, Keng-Hung %A Luan, Jian'an %A Lyytikäinen, Leo-Pekka %A McKenzie, Colin A %A Nelson, Christopher P %A Noordam, Raymond %A Scott, Robert A %A Sheu, Wayne H H %A Stančáková, Alena %A Takeuchi, Fumihiko %A van der Most, Peter J %A Varga, Tibor V %A Waken, Robert J %A Wang, Heming %A Wang, Yajuan %A Ware, Erin B %A Weiss, Stefan %A Wen, Wanqing %A Yanek, Lisa R %A Zhang, Weihua %A Zhao, Jing Hua %A Afaq, Saima %A Alfred, Tamuno %A Amin, Najaf %A Arking, Dan E %A Aung, Tin %A Barr, R Graham %A Bielak, Lawrence F %A Eric Boerwinkle %A Bottinger, Erwin P %A Braund, Peter S %A Brody, Jennifer A %A Broeckel, Ulrich %A Cade, Brian %A Campbell, Archie %A Canouil, Mickaël %A Chakravarti, Aravinda %A Cocca, Massimiliano %A Collins, Francis S %A Connell, John M %A de Mutsert, Renée %A de Silva, H Janaka %A Dörr, Marcus %A Duan, Qing %A Eaton, Charles B %A Ehret, Georg %A Evangelou, Evangelos %A Faul, Jessica D %A Forouhi, Nita G %A Franco, Oscar H %A Friedlander, Yechiel %A Gao, He %A Gigante, Bruna %A Gu, C Charles %A Gupta, Preeti %A Hagenaars, Saskia P %A Harris, Tamara B %A He, Jiang %A Heikkinen, Sami %A Heng, Chew-Kiat %A Hofman, Albert %A Howard, Barbara V %A Hunt, Steven C %A Irvin, Marguerite R %A Jia, Yucheng %A Katsuya, Tomohiro %A Kaufman, Joel %A Kerrison, Nicola D %A Khor, Chiea Chuen %A Koh, Woon-Puay %A Koistinen, Heikki A %A Kooperberg, Charles B %A Krieger, Jose E %A Kubo, Michiaki %A Kutalik, Zoltán %A Kuusisto, Johanna %A Lakka, Timo A %A Langefeld, Carl D %A Langenberg, Claudia %A Launer, Lenore J %A Lee, Joseph H %A Lehne, Benjamin %A Levy, Daniel %A Lewis, Cora E %A Li, Yize %A Lim, Sing Hui %A Liu, Ching-Ti %A Liu, Jianjun %A Liu, Jingmin %A Liu, Yeheng %A Loh, Marie %A Lohman, Kurt K %A Louie, Tin %A Mägi, Reedik %A Matsuda, Koichi %A Meitinger, Thomas %A Metspalu, Andres %A Milani, Lili %A Momozawa, Yukihide %A Mosley, Thomas H %A Nalls, Mike A %A Nasri, Ubaydah %A O'Connell, Jeff R %A Ogunniyi, Adesola %A Palmas, Walter R %A Palmer, Nicholette D %A Pankow, James S %A Pedersen, Nancy L %A Peters, Annette %A Peyser, Patricia A %A Polasek, Ozren %A Porteous, David %A Raitakari, Olli T %A Renstrom, Frida %A Rice, Treva K %A Ridker, Paul M %A Robino, Antonietta %A Robinson, Jennifer G %A Rose, Lynda M %A Rudan, Igor %A Sabanayagam, Charumathi %A Salako, Babatunde L %A Sandow, Kevin %A Schmidt, Carsten O %A Schreiner, Pamela J %A Scott, William R %A Sever, Peter %A Sims, Mario %A Sitlani, Colleen M %A Smith, Blair H %A Smith, Jennifer A %A Snieder, Harold %A Starr, John M %A Strauch, Konstantin %A Tang, Hua %A Taylor, Kent D %A Teo, Yik Ying %A Tham, Yih Chung %A Uitterlinden, André G %A Waldenberger, Melanie %A Wang, Lihua %A Wang, Ya Xing %A Wei, Wen Bin %A Wilson, Gregory %A Wojczynski, Mary K %A Xiang, Yong-Bing %A Yao, Jie %A Yuan, Jian-Min %A Zonderman, Alan B %A Becker, Diane M %A Boehnke, Michael %A Bowden, Donald W %A Chambers, John C %A Chen, Yii-Der Ida %A Weir, David R %A de Faire, Ulf %A Deary, Ian J %A Esko, Tõnu %A Farrall, Martin %A Forrester, Terrence %A Freedman, Barry I %A Froguel, Philippe %A Gasparini, Paolo %A Gieger, Christian %A Horta, Bernardo Lessa %A Hung, Yi-Jen %A Jonas, Jost Bruno %A Kato, Norihiro %A Kooner, Jaspal S %A Laakso, Markku %A Lehtimäki, Terho %A Liang, Kae-Woei %A Magnusson, Patrik K E %A Oldehinkel, Albertine J %A Pereira, Alexandre C %A Perls, Thomas %A Rauramaa, Rainer %A Redline, Susan %A Rettig, Rainer %A Samani, Nilesh J %A Scott, James %A Shu, Xiao-Ou %A van der Harst, Pim %A Wagenknecht, Lynne E %A Wareham, Nicholas J %A Watkins, Hugh %A Wickremasinghe, Ananda R %A Wu, Tangchun %A Kamatani, Yoichiro %A Laurie, Cathy C %A Bouchard, Claude %A Cooper, Richard S %A Evans, Michele K %A Gudnason, Vilmundur %A Hixson, James %A Kardia, Sharon L R %A Kritchevsky, Stephen B %A Psaty, Bruce M %A van Dam, Rob M %A Arnett, Donna K %A Mook-Kanamori, Dennis O %A Fornage, Myriam %A Fox, Ervin R %A Hayward, Caroline %A van Duijn, Cornelia M %A Tai, E Shyong %A Wong, Tien Yin %A Loos, Ruth J F %A Reiner, Alex P %A Rotimi, Charles N %A Bierut, Laura J %A Zhu, Xiaofeng %A Cupples, L Adrienne %A Province, Michael A %A Rotter, Jerome I %A Franks, Paul W %A Rice, Kenneth %A Elliott, Paul %A Caulfield, Mark J %A Gauderman, W James %A Munroe, Patricia B %A Rao, Dabeeru C %A Morrison, Alanna C %K Adolescent %K Adult %K Aged %K Aged, 80 and over %K Antiporters %K Arterial Pressure %K Blood Pressure %K Caspase 9 %K Ethnicity %K Female %K Gene-Environment Interaction %K Genome-Wide Association Study %K Humans %K Hypertension %K Male %K Membrane Proteins %K Middle Aged %K Polymorphism, Genetic %K Racial Groups %K Receptors, Vasopressin %K Smoking %K Sulfate Transporters %K Tumor Suppressor Proteins %K Young Adult %X

Elevated blood pressure (BP), a leading cause of global morbidity and mortality, is influenced by both genetic and lifestyle factors. Cigarette smoking is one such lifestyle factor. Across five ancestries, we performed a genome-wide gene-smoking interaction study of mean arterial pressure (MAP) and pulse pressure (PP) in 129 913 individuals in stage 1 and follow-up analysis in 480 178 additional individuals in stage 2. We report here 136 loci significantly associated with MAP and/or PP. Of these, 61 were previously published through main-effect analysis of BP traits, 37 were recently reported by us for systolic BP and/or diastolic BP through gene-smoking interaction analysis and 38 were newly identified (P < 5 × 10-8, false discovery rate < 0.05). We also identified nine new signals near known loci. Of the 136 loci, 8 showed significant interaction with smoking status. They include CSMD1 previously reported for insulin resistance and BP in the spontaneously hypertensive rats. Many of the 38 new loci show biologic plausibility for a role in BP regulation. SLC26A7 encodes a chloride/bicarbonate exchanger expressed in the renal outer medullary collecting duct. AVPR1A is widely expressed, including in vascular smooth muscle cells, kidney, myocardium and brain. FHAD1 is a long non-coding RNA overexpressed in heart failure. TMEM51 was associated with contractile function in cardiomyocytes. CASP9 plays a central role in cardiomyocyte apoptosis. Identified only in African ancestry were 30 novel loci. Our findings highlight the value of multi-ancestry investigations, particularly in studies of interaction with lifestyle factors, where genomic and lifestyle differences may contribute to novel findings.

%B Hum Mol Genet %V 28 %P 2615-2633 %8 2019 Aug 01 %G eng %N 15 %1 https://www.ncbi.nlm.nih.gov/pubmed/31127295?dopt=Abstract %R 10.1093/hmg/ddz070 %0 Journal Article %J Nat Genet %D 2019 %T Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. %A Turcot, Valérie %A Lu, Yingchang %A Highland, Heather M %A Schurmann, Claudia %A Justice, Anne E %A Fine, Rebecca S %A Bradfield, Jonathan P %A Esko, Tõnu %A Giri, Ayush %A Graff, Mariaelisa %A Guo, Xiuqing %A Hendricks, Audrey E %A Karaderi, Tugce %A Lempradl, Adelheid %A Locke, Adam E %A Mahajan, Anubha %A Marouli, Eirini %A Sivapalaratnam, Suthesh %A Young, Kristin L %A Alfred, Tamuno %A Feitosa, Mary F %A Masca, Nicholas G D %A Manning, Alisa K %A Medina-Gomez, Carolina %A Mudgal, Poorva %A Ng, Maggie C Y %A Reiner, Alex P %A Vedantam, Sailaja %A Willems, Sara M %A Winkler, Thomas W %A Abecasis, Goncalo %A Aben, Katja K %A Alam, Dewan S %A Alharthi, Sameer E %A Allison, Matthew %A Amouyel, Philippe %A Asselbergs, Folkert W %A Auer, Paul L %A Balkau, Beverley %A Bang, Lia E %A Barroso, Inês %A Bastarache, Lisa %A Benn, Marianne %A Bergmann, Sven %A Bielak, Lawrence F %A Blüher, Matthias %A Boehnke, Michael %A Boeing, Heiner %A Eric Boerwinkle %A Böger, Carsten A %A Bork-Jensen, Jette %A Bots, Michiel L %A Bottinger, Erwin P %A Bowden, Donald W %A Brandslund, Ivan %A Breen, Gerome %A Brilliant, Murray H %A Broer, Linda %A Brumat, Marco %A Burt, Amber A %A Butterworth, Adam S %A Campbell, Peter T %A Cappellani, Stefania %A Carey, David J %A Catamo, Eulalia %A Caulfield, Mark J %A Chambers, John C %A Chasman, Daniel I %A Chen, Yii-Der I %A Chowdhury, Rajiv %A Christensen, Cramer %A Chu, Audrey Y %A Cocca, Massimiliano %A Collins, Francis S %A Cook, James P %A Corley, Janie %A Galbany, Jordi Corominas %A Cox, Amanda J %A Crosslin, David S %A Cuellar-Partida, Gabriel %A D'Eustacchio, Angela %A Danesh, John %A Davies, Gail %A Bakker, Paul I W %A Groot, Mark C H %A Mutsert, Renée %A Deary, Ian J %A Dedoussis, George %A Demerath, Ellen W %A Heijer, Martin %A Hollander, Anneke I %A Ruijter, Hester M %A Dennis, Joe G %A Denny, Josh C %A Di Angelantonio, Emanuele %A Drenos, Fotios %A Du, Mengmeng %A Dube, Marie-Pierre %A Dunning, Alison M %A Easton, Douglas F %A Edwards, Todd L %A Ellinghaus, David %A Ellinor, Patrick T %A Elliott, Paul %A Evangelou, Evangelos %A Farmaki, Aliki-Eleni %A Farooqi, I Sadaf %A Faul, Jessica D %A Fauser, Sascha %A Feng, Shuang %A Ferrannini, Ele %A Ferrieres, Jean %A Florez, Jose C %A Ford, Ian %A Fornage, Myriam %A Franco, Oscar H %A Franke, Andre %A Franks, Paul W %A Friedrich, Nele %A Frikke-Schmidt, Ruth %A Galesloot, Tessel E %A Gan, Wei %A Gandin, Ilaria %A Gasparini, Paolo %A Gibson, Jane %A Giedraitis, Vilmantas %A Gjesing, Anette P %A Gordon-Larsen, Penny %A Gorski, Mathias %A Grabe, Hans-Jörgen %A Grant, Struan F A %A Grarup, Niels %A Griffiths, Helen L %A Grove, Megan L %A Gudnason, Vilmundur %A Gustafsson, Stefan %A Haessler, Jeff %A Hakonarson, Hakon %A Hammerschlag, Anke R %A Hansen, Torben %A Harris, Kathleen Mullan %A Harris, Tamara B %A Hattersley, Andrew T %A Have, Christian T %A Hayward, Caroline %A He, Liang %A Heard-Costa, Nancy L %A Heath, Andrew C %A Heid, Iris M %A Helgeland, Øyvind %A Hernesniemi, Jussi %A Hewitt, Alex W %A Holmen, Oddgeir L %A Hovingh, G Kees %A Howson, Joanna M M %A Hu, Yao %A Huang, Paul L %A Huffman, Jennifer E %A Ikram, M Arfan %A Ingelsson, Erik %A Jackson, Anne U %A Jansson, Jan-Håkan %A Jarvik, Gail P %A Jensen, Gorm B %A Jia, Yucheng %A Johansson, Stefan %A Jørgensen, Marit E %A Jørgensen, Torben %A Jukema, J Wouter %A Kahali, Bratati %A Kahn, René S %A Kähönen, Mika %A Kamstrup, Pia R %A Kanoni, Stavroula %A Kaprio, Jaakko %A Karaleftheri, Maria %A Kardia, Sharon L R %A Karpe, Fredrik %A Kathiresan, Sekar %A Kee, Frank %A Kiemeney, Lambertus A %A Kim, Eric %A Kitajima, Hidetoshi %A Komulainen, Pirjo %A Kooner, Jaspal S %A Kooperberg, Charles %A Korhonen, Tellervo %A Kovacs, Peter %A Kuivaniemi, Helena %A Kutalik, Zoltán %A Kuulasmaa, Kari %A Kuusisto, Johanna %A Laakso, Markku %A Lakka, Timo A %A Lamparter, David %A Lange, Ethan M %A Lange, Leslie A %A Langenberg, Claudia %A Larson, Eric B %A Lee, Nanette R %A Lehtimäki, Terho %A Lewis, Cora E %A Li, Huaixing %A Li, Jin %A Li-Gao, Ruifang %A Lin, Honghuang %A Lin, Keng-Hung %A Lin, Li-An %A Lin, Xu %A Lind, Lars %A Lindström, Jaana %A Linneberg, Allan %A Liu, Ching-Ti %A Liu, Dajiang J %A Liu, Yongmei %A Lo, Ken S %A Lophatananon, Artitaya %A Lotery, Andrew J %A Loukola, Anu %A Luan, Jian'an %A Lubitz, Steven A %A Lyytikäinen, Leo-Pekka %A Männistö, Satu %A Marenne, Gaëlle %A Mazul, Angela L %A McCarthy, Mark I %A McKean-Cowdin, Roberta %A Medland, Sarah E %A Meidtner, Karina %A Milani, Lili %A Mistry, Vanisha %A Mitchell, Paul %A Mohlke, Karen L %A Moilanen, Leena %A Moitry, Marie %A Montgomery, Grant W %A Mook-Kanamori, Dennis O %A Moore, Carmel %A Mori, Trevor A %A Morris, Andrew D %A Morris, Andrew P %A Müller-Nurasyid, Martina %A Munroe, Patricia B %A Nalls, Mike A %A Narisu, Narisu %A Nelson, Christopher P %A Neville, Matt %A Nielsen, Sune F %A Nikus, Kjell %A Njølstad, Pål R %A Nordestgaard, Børge G %A Nyholt, Dale R %A O'Connel, Jeffrey R %A O'Donoghue, Michelle L %A Loohuis, Loes M Olde %A Ophoff, Roel A %A Owen, Katharine R %A Packard, Chris J %A Padmanabhan, Sandosh %A Palmer, Colin N A %A Palmer, Nicholette D %A Pasterkamp, Gerard %A Patel, Aniruddh P %A Pattie, Alison %A Pedersen, Oluf %A Peissig, Peggy L %A Peloso, Gina M %A Pennell, Craig E %A Perola, Markus %A Perry, James A %A Perry, John R B %A Pers, Tune H %A Person, Thomas N %A Peters, Annette %A Petersen, Eva R B %A Peyser, Patricia A %A Pirie, Ailith %A Polasek, Ozren %A Polderman, Tinca J %A Puolijoki, Hannu %A Raitakari, Olli T %A Rasheed, Asif %A Rauramaa, Rainer %A Reilly, Dermot F %A Renstrom, Frida %A Rheinberger, Myriam %A Ridker, Paul M %A Rioux, John D %A Rivas, Manuel A %A Roberts, David J %A Robertson, Neil R %A Robino, Antonietta %A Rolandsson, Olov %A Rudan, Igor %A Ruth, Katherine S %A Saleheen, Danish %A Salomaa, Veikko %A Samani, Nilesh J %A Sapkota, Yadav %A Sattar, Naveed %A Schoen, Robert E %A Schreiner, Pamela J %A Schulze, Matthias B %A Scott, Robert A %A Segura-Lepe, Marcelo P %A Shah, Svati H %A Sheu, Wayne H-H %A Sim, Xueling %A Slater, Andrew J %A Small, Kerrin S %A Smith, Albert V %A Southam, Lorraine %A Spector, Timothy D %A Speliotes, Elizabeth K %A Starr, John M %A Stefansson, Kari %A Steinthorsdottir, Valgerdur %A Stirrups, Kathleen E %A Strauch, Konstantin %A Stringham, Heather M %A Stumvoll, Michael %A Sun, Liang %A Surendran, Praveen %A Swift, Amy J %A Tada, Hayato %A Tansey, Katherine E %A Tardif, Jean-Claude %A Taylor, Kent D %A Teumer, Alexander %A Thompson, Deborah J %A Thorleifsson, Gudmar %A Thorsteinsdottir, Unnur %A Thuesen, Betina H %A Tonjes, Anke %A Tromp, Gerard %A Trompet, Stella %A Tsafantakis, Emmanouil %A Tuomilehto, Jaakko %A Tybjaerg-Hansen, Anne %A Tyrer, Jonathan P %A Uher, Rudolf %A Uitterlinden, André G %A Uusitupa, Matti %A Laan, Sander W %A Duijn, Cornelia M %A Leeuwen, Nienke %A van Setten, Jessica %A Vanhala, Mauno %A Varbo, Anette %A Varga, Tibor V %A Varma, Rohit %A Edwards, Digna R Velez %A Vermeulen, Sita H %A Veronesi, Giovanni %A Vestergaard, Henrik %A Vitart, Veronique %A Vogt, Thomas F %A Völker, Uwe %A Vuckovic, Dragana %A Wagenknecht, Lynne E %A Walker, Mark %A Wallentin, Lars %A Wang, Feijie %A Wang, Carol A %A Wang, Shuai %A Wang, Yiqin %A Ware, Erin B %A Wareham, Nicholas J %A Warren, Helen R %A Waterworth, Dawn M %A Wessel, Jennifer %A White, Harvey D %A Willer, Cristen J %A Wilson, James G %A Witte, Daniel R %A Wood, Andrew R %A Wu, Ying %A Yaghootkar, Hanieh %A Yao, Jie %A Yao, Pang %A Yerges-Armstrong, Laura M %A Young, Robin %A Zeggini, Eleftheria %A Zhan, Xiaowei %A Zhang, Weihua %A Zhao, Jing Hua %A Zhao, Wei %A Zhao, Wei %A Zhou, 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An amendment to this paper has been published and can be accessed via a link at the top of the paper.

%B Nat Genet %V 51 %P 1191-1192 %8 2019 Jul %G eng %N 7 %1 https://www.ncbi.nlm.nih.gov/pubmed/31160809?dopt=Abstract %R 10.1038/s41588-019-0447-2 %0 Journal Article %J Blood %D 2018 %T DNA methylation age is associated with an altered hemostatic profile in a multiethnic meta-analysis. %A Ward-Caviness, Cavin K %A Huffman, Jennifer E %A Everett, Karl %A Germain, Marine %A van Dongen, Jenny %A Hill, W David %A Jhun, Min A %A Brody, Jennifer A %A Ghanbari, Mohsen %A Du, Lei %A Roetker, Nicholas S %A de Vries, Paul S %A Waldenberger, Melanie %A Gieger, Christian %A Wolf, Petra %A Prokisch, Holger %A Koenig, Wolfgang %A O'Donnell, Christopher J %A Levy, Daniel %A Liu, Chunyu %A Truong, Vinh %A Wells, Philip S %A Trégouët, David-Alexandre %A Tang, Weihong %A Morrison, Alanna C %A Eric Boerwinkle %A Wiggins, Kerri L %A McKnight, Barbara %A Guo, Xiuqing %A Psaty, Bruce M %A Sotoodenia, Nona %A Boomsma, Dorret I %A Willemsen, Gonneke %A Ligthart, Lannie %A Deary, Ian J %A Zhao, Wei %A Ware, Erin B %A Kardia, Sharon L R %A van Meurs, Joyce B J %A Uitterlinden, André G %A Franco, Oscar H %A Eriksson, Per %A Franco-Cereceda, Anders %A Pankow, James S %A Johnson, Andrew D %A Gagnon, France %A Morange, Pierre-Emmanuel %A de Geus, Eco J C %A Starr, John M %A Smith, Jennifer A %A Dehghan, Abbas %A Björck, Hanna M %A Smith, Nicholas L %A Peters, Annette %K Aging %K DNA Methylation %K Epigenesis, Genetic %K Hemostasis %K Humans %X

Many hemostatic factors are associated with age and age-related diseases; however, much remains unknown about the biological mechanisms linking aging and hemostatic factors. DNA methylation is a novel means by which to assess epigenetic aging, which is a measure of age and the aging processes as determined by altered epigenetic states. We used a meta-analysis approach to examine the association between measures of epigenetic aging and hemostatic factors, as well as a clotting time measure. For fibrinogen, we performed European and African ancestry-specific meta-analyses which were then combined via a random effects meta-analysis. For all other measures we could not estimate ancestry-specific effects and used a single fixed effects meta-analysis. We found that 1-year higher extrinsic epigenetic age as compared with chronological age was associated with higher fibrinogen (0.004 g/L/y; 95% confidence interval, 0.001-0.007; = .01) and plasminogen activator inhibitor 1 (PAI-1; 0.13 U/mL/y; 95% confidence interval, 0.07-0.20; = 6.6 10) concentrations, as well as lower activated partial thromboplastin time, a measure of clotting time. We replicated PAI-1 associations using an independent cohort. To further elucidate potential functional mechanisms, we associated epigenetic aging with expression levels of the PAI-1 protein encoding gene () and the 3 fibrinogen subunit-encoding genes (, , and ) in both peripheral blood and aorta intima-media samples. We observed associations between accelerated epigenetic aging and transcription of in both tissues. Collectively, our results indicate that accelerated epigenetic aging is associated with a procoagulation hemostatic profile, and that epigenetic aging may regulate hemostasis in part via gene transcription.

%B Blood %V 132 %P 1842-1850 %8 2018 Oct 25 %G eng %N 17 %1 https://www.ncbi.nlm.nih.gov/pubmed/30042098?dopt=Abstract %R 10.1182/blood-2018-02-831347 %0 Journal Article %J Am J Epidemiol %D 2018 %T An Epigenome-Wide Association Study of Obesity-Related Traits. %A Dhana, Klodian %A Braun, Kim V E %A Nano, Jana %A Voortman, Trudy %A Demerath, Ellen W %A Guan, Weihua %A Fornage, Myriam %A van Meurs, Joyce B J %A Uitterlinden, André G %A Hofman, Albert %A Franco, Oscar H %A Dehghan, Abbas %K Amino Acyl-tRNA Synthetases %K Biomarkers %K CpG Islands %K DNA Methylation %K Epigenomics %K Female %K Genome-Wide Association Study %K Humans %K Male %K Middle Aged %K Netherlands %K Obesity %K Phenotype %K Prospective Studies %K RNA-Binding Proteins %K United States %X

We conducted an epigenome-wide association study on obesity-related traits. We used data from 2 prospective, population-based cohort studies: the Rotterdam Study (RS) (2006-2013) and the Atherosclerosis Risk in Communities (ARIC) Study (1990-1992). We used the RS (n = 1,450) as the discovery panel and the ARIC Study (n = 2,097) as the replication panel. Linear mixed-effect models were used to assess the cross-sectional associations between genome-wide DNA methylation in leukocytes and body mass index (BMI) and waist circumference (WC), adjusting for sex, age, smoking, leukocyte proportions, array number, and position on array. The latter 2 variables were modeled as random effects. Fourteen 5'-C-phosphate-G-3' (CpG) sites were associated with BMI and 26 CpG sites with WC in the RS after Bonferroni correction (P < 1.07 × 10-7), of which 12 and 13 CpGs were replicated in the ARIC Study, respectively. The most significant novel CpGs were located on the Musashi RNA binding protein 2 gene (MSI2; cg21139312) and the leucyl-tRNA synthetase 2, mitochondrial gene (LARS2; cg18030453) and were associated with both BMI and WC. CpGs at BRDT, PSMD1, IFI44L, MAP1A, and MAP3K5 were associated with BMI. CpGs at LGALS3BP, MAP2K3, DHCR24, CPSF4L, and TMEM49 were associated with WC. We report novel associations between methylation at MSI2 and LARS2 and obesity-related traits. These results provide further insight into mechanisms underlying obesity-related traits, which can enable identification of new biomarkers in obesity-related chronic diseases.

%B Am J Epidemiol %V 187 %P 1662-1669 %8 2018 Aug 01 %G eng %N 8 %1 https://www.ncbi.nlm.nih.gov/pubmed/29762635?dopt=Abstract %R 10.1093/aje/kwy025 %0 Journal Article %J Nat Genet %D 2018 %T Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits. %A Evangelou, Evangelos %A Warren, Helen R %A Mosen-Ansorena, David %A Mifsud, Borbala %A Pazoki, Raha %A Gao, He %A Ntritsos, Georgios %A Dimou, Niki %A Cabrera, Claudia P %A Karaman, Ibrahim %A Ng, Fu Liang %A Evangelou, Marina %A Witkowska, Katarzyna %A Tzanis, Evan %A Hellwege, Jacklyn N %A Giri, Ayush %A Velez Edwards, Digna R %A Sun, Yan V %A Cho, Kelly %A Gaziano, J Michael %A Wilson, Peter W F %A Tsao, Philip S %A Kovesdy, Csaba P %A Esko, Tõnu %A Mägi, Reedik %A Milani, Lili %A Almgren, Peter %A Boutin, Thibaud %A Debette, Stephanie %A Ding, Jun %A Giulianini, Franco %A Holliday, Elizabeth G %A Jackson, Anne U %A Li-Gao, Ruifang %A Lin, Wei-Yu %A Luan, Jian'an %A Mangino, Massimo %A Oldmeadow, Christopher %A Prins, Bram Peter %A Qian, Yong %A Sargurupremraj, Muralidharan %A Shah, Nabi %A Surendran, Praveen %A Thériault, Sébastien %A Verweij, Niek %A Willems, Sara M %A Zhao, Jing-Hua %A Amouyel, Philippe %A Connell, John %A de Mutsert, Renée %A Doney, Alex S F %A Farrall, Martin %A Menni, Cristina %A Morris, Andrew D %A Noordam, Raymond %A Paré, Guillaume %A Poulter, Neil R %A Shields, Denis C %A Stanton, Alice %A Thom, Simon %A Abecasis, Goncalo %A Amin, Najaf %A Arking, Dan E %A Ayers, Kristin L %A Barbieri, Caterina M %A Batini, Chiara %A Bis, Joshua C %A Blake, Tineka %A Bochud, Murielle %A Boehnke, Michael %A Eric Boerwinkle %A Boomsma, Dorret I %A Bottinger, Erwin P %A Braund, Peter S %A Brumat, Marco %A Campbell, Archie %A Campbell, Harry %A Chakravarti, Aravinda %A Chambers, John C %A Chauhan, Ganesh %A Ciullo, Marina %A Cocca, Massimiliano %A Collins, Francis %A Cordell, Heather J %A Davies, Gail %A de Borst, Martin H %A de Geus, Eco J %A Deary, Ian J %A Deelen, Joris %A Del Greco M, Fabiola %A Demirkale, Cumhur Yusuf %A Dörr, Marcus %A Ehret, Georg B %A Elosua, Roberto %A Enroth, Stefan %A Erzurumluoglu, A Mesut %A Ferreira, Teresa %A Frånberg, Mattias %A Franco, Oscar H %A Gandin, Ilaria %A Gasparini, Paolo %A Giedraitis, Vilmantas %A Gieger, Christian %A Girotto, Giorgia %A Goel, Anuj %A Gow, Alan J %A Gudnason, Vilmundur %A Guo, Xiuqing %A Gyllensten, Ulf %A Hamsten, Anders %A Harris, Tamara B %A Harris, Sarah E %A Hartman, Catharina A %A Havulinna, Aki S %A Hicks, Andrew A %A Hofer, Edith %A Hofman, Albert %A Hottenga, Jouke-Jan %A Huffman, Jennifer E %A Hwang, Shih-Jen %A Ingelsson, Erik %A James, Alan %A Jansen, Rick %A Jarvelin, Marjo-Riitta %A Joehanes, Roby %A Johansson, Åsa %A Johnson, Andrew D %A Joshi, Peter K %A Jousilahti, Pekka %A Jukema, J Wouter %A Jula, Antti %A Kähönen, Mika %A Kathiresan, Sekar %A Keavney, Bernard D %A Khaw, Kay-Tee %A Knekt, Paul %A Knight, Joanne %A Kolcic, Ivana %A Kooner, Jaspal S %A Koskinen, Seppo %A Kristiansson, Kati %A Kutalik, Zoltán %A Laan, Maris %A Larson, Marty %A Launer, Lenore J %A Lehne, Benjamin %A Lehtimäki, Terho %A Liewald, David C M %A Lin, Li %A Lind, Lars %A Lindgren, Cecilia M %A Liu, Yongmei %A Loos, Ruth J F %A Lopez, Lorna M %A Lu, Yingchang %A Lyytikäinen, Leo-Pekka %A Mahajan, Anubha %A Mamasoula, Chrysovalanto %A Marrugat, Jaume %A Marten, Jonathan %A Milaneschi, Yuri %A Morgan, Anna %A Morris, Andrew P %A Morrison, Alanna C %A Munson, Peter J %A Nalls, Mike A %A Nandakumar, Priyanka %A Nelson, Christopher P %A Niiranen, Teemu %A Nolte, Ilja M %A Nutile, Teresa %A Oldehinkel, Albertine J %A Oostra, Ben A %A O'Reilly, Paul F %A Org, Elin %A Padmanabhan, Sandosh %A Palmas, Walter %A Palotie, Aarno %A Pattie, Alison %A Penninx, Brenda W J H %A Perola, Markus %A Peters, Annette %A Polasek, Ozren %A Pramstaller, Peter P %A Nguyen, Quang Tri %A Raitakari, Olli T %A Ren, Meixia %A Rettig, Rainer %A Rice, Kenneth %A Ridker, Paul M %A Ried, Janina S %A Riese, Harriëtte %A Ripatti, Samuli %A Robino, Antonietta %A Rose, Lynda M %A Rotter, Jerome I %A Rudan, Igor %A Ruggiero, Daniela %A Saba, Yasaman %A Sala, Cinzia F %A Salomaa, Veikko %A Samani, Nilesh J %A Sarin, Antti-Pekka %A Schmidt, Reinhold %A Schmidt, Helena %A Shrine, Nick %A Siscovick, David %A Smith, Albert V %A Snieder, Harold %A Sõber, Siim %A Sorice, Rossella %A Starr, John M %A Stott, David J %A Strachan, David P %A Strawbridge, Rona J %A Sundström, Johan %A Swertz, Morris A %A Taylor, Kent D %A Teumer, Alexander %A Tobin, Martin D %A Tomaszewski, Maciej %A Toniolo, Daniela %A Traglia, Michela %A Trompet, Stella %A Tuomilehto, Jaakko %A Tzourio, Christophe %A Uitterlinden, André G %A Vaez, Ahmad %A van der Most, Peter J %A van Duijn, Cornelia M %A Vergnaud, Anne-Claire %A Verwoert, Germaine C %A Vitart, Veronique %A Völker, Uwe %A Vollenweider, Peter %A Vuckovic, Dragana %A Watkins, Hugh %A Wild, Sarah H %A Willemsen, Gonneke %A Wilson, James F %A Wright, Alan F %A Yao, Jie %A Zemunik, Tatijana %A Zhang, Weihua %A Attia, John R %A Butterworth, Adam S %A Chasman, Daniel I %A Conen, David %A Cucca, Francesco %A Danesh, John %A Hayward, Caroline %A Howson, Joanna M M %A Laakso, Markku %A Lakatta, Edward G %A Langenberg, Claudia %A Melander, Olle %A Mook-Kanamori, Dennis O %A Palmer, Colin N A %A Risch, Lorenz %A Scott, Robert A %A Scott, Rodney J %A Sever, Peter %A Spector, Tim D %A van der Harst, Pim %A Wareham, Nicholas J %A Zeggini, Eleftheria %A Levy, Daniel %A Munroe, Patricia B %A Newton-Cheh, Christopher %A Brown, Morris J %A Metspalu, Andres %A Hung, Adriana M %A O'Donnell, Christopher J %A Edwards, Todd L %A Psaty, Bruce M %A Tzoulaki, Ioanna %A Barnes, Michael R %A Wain, Louise V %A Elliott, Paul %A Caulfield, Mark J %K Adult %K Aged %K Aged, 80 and over %K Blood Pressure %K Cardiovascular Diseases %K Cells, Cultured %K Female %K Genetic Loci %K Genetic Predisposition to Disease %K Genetic Testing %K Genetics, Population %K Genome-Wide Association Study %K Human Umbilical Vein Endothelial Cells %K Humans %K Hypertension %K Life Style %K Male %K Middle Aged %K Polymorphism, Single Nucleotide %K Quantitative Trait Loci %K Risk Factors %X

High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also highlight shared genetic architecture between blood pressure and lifestyle exposures. Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future.

%B Nat Genet %V 50 %P 1412-1425 %8 2018 Oct %G eng %N 10 %1 https://www.ncbi.nlm.nih.gov/pubmed/30224653?dopt=Abstract %R 10.1038/s41588-018-0205-x %0 Journal Article %J Am J Hum Genet %D 2018 %T Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders. %A Ligthart, Symen %A Vaez, Ahmad %A Võsa, Urmo %A Stathopoulou, Maria G %A de Vries, Paul S %A Prins, Bram P %A van der Most, Peter J %A Tanaka, Toshiko %A Naderi, Elnaz %A Rose, Lynda M %A Wu, Ying %A Karlsson, Robert %A Barbalic, Maja %A Lin, Honghuang %A Pool, René %A Zhu, Gu %A Macé, Aurélien %A Sidore, Carlo %A Trompet, Stella %A Mangino, Massimo %A Sabater-Lleal, Maria %A Kemp, John P %A Abbasi, Ali %A Kacprowski, Tim %A Verweij, Niek %A Smith, Albert V %A Huang, Tao %A Marzi, Carola %A Feitosa, Mary F %A Lohman, Kurt K %A Kleber, Marcus E %A Milaneschi, Yuri %A Mueller, Christian %A Huq, Mahmudul %A Vlachopoulou, Efthymia %A Lyytikäinen, Leo-Pekka %A Oldmeadow, Christopher %A Deelen, Joris %A Perola, Markus %A Zhao, Jing Hua %A Feenstra, Bjarke %A Amini, Marzyeh %A Lahti, Jari %A Schraut, Katharina E %A Fornage, Myriam %A Suktitipat, Bhoom %A Chen, Wei-Min %A Li, Xiaohui %A Nutile, Teresa %A Malerba, Giovanni %A Luan, Jian'an %A Bak, Tom %A Schork, Nicholas %A Del Greco M, Fabiola %A Thiering, Elisabeth %A Mahajan, Anubha %A Marioni, Riccardo E %A Mihailov, Evelin %A Eriksson, Joel %A Ozel, Ayse Bilge %A Zhang, Weihua %A Nethander, Maria %A Cheng, Yu-Ching %A Aslibekyan, Stella %A Ang, Wei %A Gandin, Ilaria %A Yengo, Loic %A Portas, Laura %A Kooperberg, Charles %A Hofer, Edith %A Rajan, Kumar B %A Schurmann, Claudia %A den Hollander, Wouter %A Ahluwalia, Tarunveer S %A Zhao, Jing %A Draisma, Harmen H M %A Ford, Ian %A Timpson, Nicholas %A Teumer, Alexander %A Huang, Hongyan %A Wahl, Simone %A Liu, Yongmei %A Huang, Jie %A Uh, Hae-Won %A Geller, Frank %A Joshi, Peter K %A Yanek, Lisa R %A Trabetti, Elisabetta %A Lehne, Benjamin %A Vozzi, Diego %A Verbanck, Marie %A Biino, Ginevra %A Saba, Yasaman %A Meulenbelt, Ingrid %A O'Connell, Jeff R %A Laakso, Markku %A Giulianini, Franco %A Magnusson, Patrik K E %A Ballantyne, Christie M %A Hottenga, Jouke Jan %A Montgomery, Grant W %A Rivadineira, Fernando %A Rueedi, Rico %A Steri, Maristella %A Herzig, Karl-Heinz %A Stott, David J %A Menni, Cristina %A Frånberg, Mattias %A St Pourcain, Beate %A Felix, Stephan B %A Pers, Tune H %A Bakker, Stephan J L %A Kraft, Peter %A Peters, Annette %A Vaidya, Dhananjay %A Delgado, Graciela %A Smit, Johannes H %A Großmann, Vera %A Sinisalo, Juha %A Seppälä, Ilkka %A Williams, Stephen R %A Holliday, Elizabeth G %A Moed, Matthijs %A Langenberg, Claudia %A Räikkönen, Katri %A Ding, Jingzhong %A Campbell, Harry %A Sale, Michele M %A Chen, Yii-Der I %A James, Alan L %A Ruggiero, Daniela %A Soranzo, Nicole %A Hartman, Catharina A %A Smith, Erin N %A Berenson, Gerald S %A Fuchsberger, Christian %A Hernandez, Dena %A Tiesler, Carla M T %A Giedraitis, Vilmantas %A Liewald, David %A Fischer, Krista %A Mellström, Dan %A Larsson, Anders %A Wang, Yunmei %A Scott, William R %A Lorentzon, Matthias %A Beilby, John %A Ryan, Kathleen A %A Pennell, Craig E %A Vuckovic, Dragana %A Balkau, Beverly %A Concas, Maria Pina %A Schmidt, Reinhold %A Mendes de Leon, Carlos F %A Bottinger, Erwin P %A Kloppenburg, Margreet %A Paternoster, Lavinia %A Boehnke, Michael %A Musk, A W %A Willemsen, Gonneke %A Evans, David M %A Madden, Pamela A F %A Kähönen, Mika %A Kutalik, Zoltán %A Zoledziewska, Magdalena %A Karhunen, Ville %A Kritchevsky, Stephen B %A Sattar, Naveed %A Lachance, Genevieve %A Clarke, Robert %A Harris, Tamara B %A Raitakari, Olli T %A Attia, John R %A van Heemst, Diana %A Kajantie, Eero %A Sorice, Rossella %A Gambaro, Giovanni %A Scott, Robert A %A Hicks, Andrew A %A Ferrucci, Luigi %A Standl, Marie %A Lindgren, Cecilia M %A Starr, John M %A Karlsson, Magnus %A Lind, Lars %A Li, Jun Z %A Chambers, John C %A Mori, Trevor A %A de Geus, Eco J C N %A Heath, Andrew C %A Martin, Nicholas G %A Auvinen, Juha %A Buckley, Brendan M %A de Craen, Anton J M %A Waldenberger, Melanie %A Strauch, Konstantin %A Meitinger, Thomas %A Scott, Rodney J %A McEvoy, Mark %A Beekman, Marian %A Bombieri, Cristina %A Ridker, Paul M %A Mohlke, Karen L %A Pedersen, Nancy L %A Morrison, Alanna C %A Boomsma, Dorret I %A Whitfield, John B %A Strachan, David P %A Hofman, Albert %A Vollenweider, Peter %A Cucca, Francesco %A Jarvelin, Marjo-Riitta %A Jukema, J Wouter %A Spector, Tim D %A Hamsten, Anders %A Zeller, Tanja %A Uitterlinden, André G %A Nauck, Matthias %A Gudnason, Vilmundur %A Qi, Lu %A Grallert, Harald %A Borecki, Ingrid B %A Rotter, Jerome I %A Marz, Winfried %A Wild, Philipp S %A Lokki, Marja-Liisa %A Boyle, Michael %A Salomaa, Veikko %A Melbye, Mads %A Eriksson, Johan G %A Wilson, James F %A Penninx, Brenda W J H %A Becker, Diane M %A Worrall, Bradford B %A Gibson, Greg %A Krauss, Ronald M %A Ciullo, Marina %A Zaza, Gianluigi %A Wareham, Nicholas J %A Oldehinkel, Albertine J %A Palmer, Lyle J %A Murray, Sarah S %A Pramstaller, Peter P %A Bandinelli, Stefania %A Heinrich, Joachim %A Ingelsson, Erik %A Deary, Ian J %A Mägi, Reedik %A Vandenput, Liesbeth %A van der Harst, Pim %A Desch, Karl C %A Kooner, Jaspal S %A Ohlsson, Claes %A Hayward, Caroline %A Lehtimäki, Terho %A Shuldiner, Alan R %A Arnett, Donna K %A Beilin, Lawrence J %A Robino, Antonietta %A Froguel, Philippe %A Pirastu, Mario %A Jess, Tine %A Koenig, Wolfgang %A Loos, Ruth J F %A Evans, Denis A %A Schmidt, Helena %A Smith, George Davey %A Slagboom, P Eline %A Eiriksdottir, Gudny %A Morris, Andrew P %A Psaty, Bruce M %A Tracy, Russell P %A Nolte, Ilja M %A Eric Boerwinkle %A Visvikis-Siest, Sophie %A Reiner, Alex P %A Gross, Myron %A Bis, Joshua C %A Franke, Lude %A Franco, Oscar H %A Benjamin, Emelia J %A Chasman, Daniel I %A Dupuis, Josée %A Snieder, Harold %A Dehghan, Abbas %A Alizadeh, Behrooz Z %K Adolescent %K Adult %K Aged %K Aged, 80 and over %K Biomarkers %K Bipolar Disorder %K Body Mass Index %K C-Reactive Protein %K Child %K Female %K Genetic Loci %K Genome-Wide Association Study %K Humans %K Inflammation %K Liver %K Male %K Mendelian Randomization Analysis %K Metabolic Networks and Pathways %K Middle Aged %K Schizophrenia %K Young Adult %X

C-reactive protein (CRP) is a sensitive biomarker of chronic low-grade inflammation and is associated with multiple complex diseases. The genetic determinants of chronic inflammation remain largely unknown, and the causal role of CRP in several clinical outcomes is debated. We performed two genome-wide association studies (GWASs), on HapMap and 1000 Genomes imputed data, of circulating amounts of CRP by using data from 88 studies comprising 204,402 European individuals. Additionally, we performed in silico functional analyses and Mendelian randomization analyses with several clinical outcomes. The GWAS meta-analyses of CRP revealed 58 distinct genetic loci (p < 5 × 10). After adjustment for body mass index in the regression analysis, the associations at all except three loci remained. The lead variants at the distinct loci explained up to 7.0% of the variance in circulating amounts of CRP. We identified 66 gene sets that were organized in two substantially correlated clusters, one mainly composed of immune pathways and the other characterized by metabolic pathways in the liver. Mendelian randomization analyses revealed a causal protective effect of CRP on schizophrenia and a risk-increasing effect on bipolar disorder. Our findings provide further insights into the biology of inflammation and could lead to interventions for treating inflammation and its clinical consequences.

%B Am J Hum Genet %V 103 %P 691-706 %8 2018 Nov 01 %G eng %N 5 %1 https://www.ncbi.nlm.nih.gov/pubmed/30388399?dopt=Abstract %R 10.1016/j.ajhg.2018.09.009 %0 Journal Article %J Nat Commun %D 2018 %T GWAS and colocalization analyses implicate carotid intima-media thickness and carotid plaque loci in cardiovascular outcomes. %A Franceschini, Nora %A Giambartolomei, Claudia %A de Vries, Paul S %A Finan, Chris %A Bis, Joshua C %A Huntley, Rachael P %A Lovering, Ruth C %A Tajuddin, Salman M %A Winkler, Thomas W %A Graff, Misa %A Kavousi, Maryam %A Dale, Caroline %A Smith, Albert V %A Hofer, Edith %A van Leeuwen, Elisabeth M %A Nolte, Ilja M %A Lu, Lingyi %A Scholz, Markus %A Sargurupremraj, Muralidharan %A Pitkänen, Niina %A Franzén, Oscar %A Joshi, Peter K %A Noordam, Raymond %A Marioni, Riccardo E %A Hwang, Shih-Jen %A Musani, Solomon K %A Schminke, Ulf %A Palmas, Walter %A Isaacs, Aaron %A Correa, Adolfo %A Zonderman, Alan B %A Hofman, Albert %A Teumer, Alexander %A Cox, Amanda J %A Uitterlinden, André G %A Wong, Andrew %A Smit, Andries J %A Newman, Anne B %A Britton, Annie %A Ruusalepp, Arno %A Sennblad, Bengt %A Hedblad, Bo %A Pasaniuc, Bogdan %A Penninx, Brenda W %A Langefeld, Carl D %A Wassel, Christina L %A Tzourio, Christophe %A Fava, Cristiano %A Baldassarre, Damiano %A O'Leary, Daniel H %A Teupser, Daniel %A Kuh, Diana %A Tremoli, Elena %A Mannarino, Elmo %A Grossi, Enzo %A Eric Boerwinkle %A Schadt, Eric E %A Ingelsson, Erik %A Veglia, Fabrizio %A Rivadeneira, Fernando %A Beutner, Frank %A Chauhan, Ganesh %A Heiss, Gerardo %A Snieder, Harold %A Campbell, Harry %A Völzke, Henry %A Markus, Hugh S %A Deary, Ian J %A Jukema, J Wouter %A de Graaf, Jacqueline %A Price, Jacqueline %A Pott, Janne %A Hopewell, Jemma C %A Liang, Jingjing %A Thiery, Joachim %A Engmann, Jorgen %A Gertow, Karl %A Rice, Kenneth %A Taylor, Kent D %A Dhana, Klodian %A Kiemeney, Lambertus A L M %A Lind, Lars %A Raffield, Laura M %A Launer, Lenore J %A Holdt, Lesca M %A Dörr, Marcus %A Dichgans, Martin %A Traylor, Matthew %A Sitzer, Matthias %A Kumari, Meena %A Kivimaki, Mika %A Nalls, Mike A %A Melander, Olle %A Raitakari, Olli %A Franco, Oscar H %A Rueda-Ochoa, Oscar L %A Roussos, Panos %A Whincup, Peter H %A Amouyel, Philippe %A Giral, Philippe %A Anugu, Pramod %A Wong, Quenna %A Malik, Rainer %A Rauramaa, Rainer %A Burkhardt, Ralph %A Hardy, Rebecca %A Schmidt, Reinhold %A de Mutsert, Renée %A Morris, Richard W %A Strawbridge, Rona J %A Wannamethee, S Goya %A Hägg, Sara %A Shah, Sonia %A McLachlan, Stela %A Trompet, Stella %A Seshadri, Sudha %A Kurl, Sudhir %A Heckbert, Susan R %A Ring, Susan %A Harris, Tamara B %A Lehtimäki, Terho %A Galesloot, Tessel E %A Shah, Tina %A de Faire, Ulf %A Plagnol, Vincent %A Rosamond, Wayne D %A Post, Wendy %A Zhu, Xiaofeng %A Zhang, Xiaoling %A Guo, Xiuqing %A Saba, Yasaman %A Dehghan, Abbas %A Seldenrijk, Adrie %A Morrison, Alanna C %A Hamsten, Anders %A Psaty, Bruce M %A van Duijn, Cornelia M %A Lawlor, Deborah A %A Mook-Kanamori, Dennis O %A Bowden, Donald W %A Schmidt, Helena %A Wilson, James F %A Wilson, James G %A Rotter, Jerome I %A Wardlaw, Joanna M %A Deanfield, John %A Halcox, Julian %A Lyytikäinen, Leo-Pekka %A Loeffler, Markus %A Evans, Michele K %A Debette, Stephanie %A Humphries, Steve E %A Völker, Uwe %A Gudnason, Vilmundur %A Hingorani, Aroon D %A Björkegren, Johan L M %A Casas, Juan P %A O'Donnell, Christopher J %K ADAMTS9 Protein %K Amino Acid Oxidoreductases %K Carotid Intima-Media Thickness %K Coronary Disease %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Humans %K Lod Score %K Plaque, Atherosclerotic %K Polymorphism, Single Nucleotide %K Protein-Lysine 6-Oxidase %K Quantitative Trait Loci %K Risk Factors %X

Carotid artery intima media thickness (cIMT) and carotid plaque are measures of subclinical atherosclerosis associated with ischemic stroke and coronary heart disease (CHD). Here, we undertake meta-analyses of genome-wide association studies (GWAS) in 71,128 individuals for cIMT, and 48,434 individuals for carotid plaque traits. We identify eight novel susceptibility loci for cIMT, one independent association at the previously-identified PINX1 locus, and one novel locus for carotid plaque. Colocalization analysis with nearby vascular expression quantitative loci (cis-eQTLs) derived from arterial wall and metabolic tissues obtained from patients with CHD identifies candidate genes at two potentially additional loci, ADAMTS9 and LOXL4. LD score regression reveals significant genetic correlations between cIMT and plaque traits, and both cIMT and plaque with CHD, any stroke subtype and ischemic stroke. Our study provides insights into genes and tissue-specific regulatory mechanisms linking atherosclerosis both to its functional genomic origins and its clinical consequences in humans.

%B Nat Commun %V 9 %P 5141 %8 2018 Dec 03 %G eng %N 1 %1 https://www.ncbi.nlm.nih.gov/pubmed/30510157?dopt=Abstract %R 10.1038/s41467-018-07340-5 %0 Journal Article %J Nat Genet %D 2018 %T Multi-ethnic genome-wide association study for atrial fibrillation. %A Roselli, Carolina %A Chaffin, Mark D %A Weng, Lu-Chen %A Aeschbacher, Stefanie %A Ahlberg, Gustav %A Albert, Christine M %A Almgren, Peter %A Alonso, Alvaro %A Anderson, Christopher D %A Aragam, Krishna G %A Arking, Dan E %A Barnard, John %A Bartz, Traci M %A Benjamin, Emelia J %A Bihlmeyer, Nathan A %A Bis, Joshua C %A Bloom, Heather L %A Boerwinkle, Eric %A Bottinger, Erwin B %A Brody, Jennifer A %A Calkins, Hugh %A Campbell, Archie %A Cappola, Thomas P %A Carlquist, John %A Chasman, Daniel I %A Chen, Lin Y %A Chen, Yii-Der Ida %A Choi, Eue-Keun %A Choi, Seung Hoan %A Christophersen, Ingrid E %A Chung, Mina K %A Cole, John W %A Conen, David %A Cook, James %A Crijns, Harry J %A Cutler, Michael J %A Damrauer, Scott M %A Daniels, Brian R %A Darbar, Dawood %A Delgado, Graciela %A Denny, Joshua C %A Dichgans, Martin %A Dörr, Marcus %A Dudink, Elton A %A Dudley, Samuel C %A Esa, Nada %A Esko, Tõnu %A Eskola, Markku %A Fatkin, Diane %A Felix, Stephan B %A Ford, Ian %A Franco, Oscar H %A Geelhoed, Bastiaan %A Grewal, Raji P %A Gudnason, Vilmundur %A Guo, Xiuqing %A Gupta, Namrata %A Gustafsson, Stefan %A Gutmann, Rebecca %A Hamsten, Anders %A Harris, Tamara B %A Hayward, Caroline %A Heckbert, Susan R %A Hernesniemi, Jussi %A Hocking, Lynne J %A Hofman, Albert %A Horimoto, Andrea R V R %A Huang, Jie %A Huang, Paul L %A Huffman, Jennifer %A Ingelsson, Erik %A Ipek, Esra Gucuk %A Ito, Kaoru %A Jimenez-Conde, Jordi %A Johnson, Renee %A Jukema, J Wouter %A Kääb, Stefan %A Kähönen, Mika %A Kamatani, Yoichiro %A Kane, John P %A Kastrati, Adnan %A Kathiresan, Sekar %A Katschnig-Winter, Petra %A Kavousi, Maryam %A Kessler, Thorsten %A Kietselaer, Bas L %A Kirchhof, Paulus %A Kleber, Marcus E %A Knight, Stacey %A Krieger, Jose E %A Kubo, Michiaki %A Launer, Lenore J %A Laurikka, Jari %A Lehtimäki, Terho %A Leineweber, Kirsten %A Lemaitre, Rozenn N %A Li, Man %A Lim, Hong Euy %A Lin, Henry J %A Lin, Honghuang %A Lind, Lars %A Lindgren, Cecilia M %A Lokki, Marja-Liisa %A London, Barry %A Loos, Ruth J F %A Low, Siew-Kee %A Lu, Yingchang %A Lyytikäinen, Leo-Pekka %A Macfarlane, Peter W %A Magnusson, Patrik K %A Mahajan, Anubha %A Malik, Rainer %A Mansur, Alfredo J %A Marcus, Gregory M %A Margolin, Lauren %A Margulies, Kenneth B %A Marz, Winfried %A McManus, David D %A Melander, Olle %A Mohanty, Sanghamitra %A Montgomery, Jay A %A Morley, Michael P %A Morris, Andrew P %A Müller-Nurasyid, Martina %A Natale, Andrea %A Nazarian, Saman %A Neumann, Benjamin %A Newton-Cheh, Christopher %A Niemeijer, Maartje N %A Nikus, Kjell %A Nilsson, Peter %A Noordam, Raymond %A Oellers, Heidi %A Olesen, Morten S %A Orho-Melander, Marju %A Padmanabhan, Sandosh %A Pak, Hui-Nam %A Paré, Guillaume %A Pedersen, Nancy L %A Pera, Joanna %A Pereira, Alexandre %A Porteous, David %A Psaty, Bruce M %A Pulit, Sara L %A Pullinger, Clive R %A Rader, Daniel J %A Refsgaard, Lena %A Ribasés, Marta %A Ridker, Paul M %A Rienstra, Michiel %A Risch, Lorenz %A Roden, Dan M %A Rosand, Jonathan %A Rosenberg, Michael A %A Rost, Natalia %A Rotter, Jerome I %A Saba, Samir %A Sandhu, Roopinder K %A Schnabel, Renate B %A Schramm, Katharina %A Schunkert, Heribert %A Schurman, Claudia %A Scott, Stuart A %A Seppälä, Ilkka %A Shaffer, Christian %A Shah, Svati %A Shalaby, Alaa A %A Shim, Jaemin %A Shoemaker, M Benjamin %A Siland, Joylene E %A Sinisalo, Juha %A Sinner, Moritz F %A Slowik, Agnieszka %A Smith, Albert V %A Smith, Blair H %A Smith, J Gustav %A Smith, Jonathan D %A Smith, Nicholas L %A Soliman, Elsayed Z %A Sotoodehnia, Nona %A Stricker, Bruno H %A Sun, Albert %A Sun, Han %A Svendsen, Jesper H %A Tanaka, Toshihiro %A Tanriverdi, Kahraman %A Taylor, Kent D %A Teder-Laving, Maris %A Teumer, Alexander %A Thériault, Sébastien %A Trompet, Stella %A Tucker, Nathan R %A Tveit, Arnljot %A Uitterlinden, André G %A van der Harst, Pim %A Van Gelder, Isabelle C %A Van Wagoner, David R %A Verweij, Niek %A Vlachopoulou, Efthymia %A Völker, Uwe %A Wang, Biqi %A Weeke, Peter E %A Weijs, Bob %A Weiss, Raul %A Weiss, Stefan %A Wells, Quinn S %A Wiggins, Kerri L %A Wong, Jorge A %A Woo, Daniel %A Worrall, Bradford B %A Yang, Pil-Sung %A Yao, Jie %A Yoneda, Zachary T %A Zeller, Tanja %A Zeng, Lingyao %A Lubitz, Steven A %A Lunetta, Kathryn L %A Ellinor, Patrick T %K Atrial Fibrillation %K Case-Control Studies %K Ethnicity %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Humans %K Quantitative Trait Loci %K Transcriptome %X

Atrial fibrillation (AF) affects more than 33 million individuals worldwide and has a complex heritability. We conducted the largest meta-analysis of genome-wide association studies (GWAS) for AF to date, consisting of more than half a million individuals, including 65,446 with AF. In total, we identified 97 loci significantly associated with AF, including 67 that were novel in a combined-ancestry analysis, and 3 that were novel in a European-specific analysis. We sought to identify AF-associated genes at the GWAS loci by performing RNA-sequencing and expression quantitative trait locus analyses in 101 left atrial samples, the most relevant tissue for AF. We also performed transcriptome-wide analyses that identified 57 AF-associated genes, 42 of which overlap with GWAS loci. The identified loci implicate genes enriched within cardiac developmental, electrophysiological, contractile and structural pathways. These results extend our understanding of the biological pathways underlying AF and may facilitate the development of therapeutics for AF.

%B Nat Genet %V 50 %P 1225-1233 %8 2018 Jun 11 %G eng %N 9 %1 https://www.ncbi.nlm.nih.gov/pubmed/29892015?dopt=Abstract %R 10.1038/s41588-018-0133-9 %0 Journal Article %J PLoS One %D 2018 %T Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries. %A Feitosa, Mary F %A Kraja, Aldi T %A Chasman, Daniel I %A Sung, Yun J %A Winkler, Thomas W %A Ntalla, Ioanna %A Guo, Xiuqing %A Franceschini, Nora %A Cheng, Ching-Yu %A Sim, Xueling %A Vojinovic, Dina %A Marten, Jonathan %A Musani, Solomon K %A Li, Changwei %A Bentley, Amy R %A Brown, Michael R %A Schwander, Karen %A Richard, Melissa A %A Noordam, Raymond %A Aschard, Hugues %A Bartz, Traci M %A Bielak, Lawrence F %A Dorajoo, Rajkumar %A Fisher, Virginia %A Hartwig, Fernando P %A Horimoto, Andrea R V R %A Lohman, Kurt K %A Manning, Alisa K %A Rankinen, Tuomo %A Smith, Albert V %A Tajuddin, Salman M %A Wojczynski, Mary K %A Alver, Maris %A Boissel, Mathilde %A Cai, Qiuyin %A Campbell, Archie %A Chai, Jin Fang %A Chen, Xu %A Divers, Jasmin %A Gao, Chuan %A Goel, Anuj %A Hagemeijer, Yanick %A Harris, Sarah E %A He, Meian %A Hsu, Fang-Chi %A Jackson, Anne U %A Kähönen, Mika %A Kasturiratne, Anuradhani %A Komulainen, Pirjo %A Kühnel, Brigitte %A Laguzzi, Federica %A Luan, Jian'an %A Matoba, Nana %A Nolte, Ilja M %A Padmanabhan, Sandosh %A Riaz, Muhammad %A Rueedi, Rico %A Robino, Antonietta %A Said, M Abdullah %A Scott, Robert A %A Sofer, Tamar %A Stančáková, Alena %A Takeuchi, Fumihiko %A Tayo, Bamidele O %A van der Most, Peter J %A Varga, Tibor V %A Vitart, Veronique %A Wang, Yajuan %A Ware, Erin B %A Warren, Helen R %A Weiss, Stefan %A Wen, Wanqing %A Yanek, Lisa R %A Zhang, Weihua %A Zhao, Jing Hua %A Afaq, Saima %A Amin, Najaf %A Amini, Marzyeh %A Arking, Dan E %A Aung, Tin %A Boerwinkle, Eric %A Borecki, Ingrid %A Broeckel, Ulrich %A Brown, Morris %A Brumat, Marco %A Burke, Gregory L %A Canouil, Mickaël %A Chakravarti, Aravinda %A Charumathi, Sabanayagam %A Ida Chen, Yii-Der %A Connell, John M %A Correa, Adolfo %A de Las Fuentes, Lisa %A de Mutsert, Renée %A de Silva, H Janaka %A Deng, Xuan %A Ding, Jingzhong %A Duan, Qing %A Eaton, Charles B %A Ehret, Georg %A Eppinga, Ruben N %A Evangelou, Evangelos %A Faul, Jessica D %A Felix, Stephan B %A Forouhi, Nita G %A Forrester, Terrence %A Franco, Oscar H %A Friedlander, Yechiel %A Gandin, Ilaria %A Gao, He %A Ghanbari, Mohsen %A Gigante, Bruna %A Gu, C Charles %A Gu, Dongfeng %A Hagenaars, Saskia P %A Hallmans, Goran %A Harris, Tamara B %A He, Jiang %A Heikkinen, Sami %A Heng, Chew-Kiat %A Hirata, Makoto %A Howard, Barbara V %A Ikram, M Arfan %A John, Ulrich %A Katsuya, Tomohiro %A Khor, Chiea Chuen %A Kilpeläinen, Tuomas O %A Koh, Woon-Puay %A Krieger, Jose E %A Kritchevsky, Stephen B %A Kubo, Michiaki %A Kuusisto, Johanna %A Lakka, Timo A %A Langefeld, Carl D %A Langenberg, Claudia %A Launer, Lenore J %A Lehne, Benjamin %A Lewis, Cora E %A Li, Yize %A Lin, Shiow %A Liu, Jianjun %A Liu, Jingmin %A Loh, Marie %A Louie, Tin %A Mägi, Reedik %A McKenzie, Colin A %A Meitinger, Thomas %A Metspalu, Andres %A Milaneschi, Yuri %A Milani, Lili %A Mohlke, Karen L %A Momozawa, Yukihide %A Nalls, Mike A %A Nelson, Christopher P %A Sotoodehnia, Nona %A Norris, Jill M %A O'Connell, Jeff R %A Palmer, Nicholette D %A Perls, Thomas %A Pedersen, Nancy L %A Peters, Annette %A Peyser, Patricia A %A Poulter, Neil %A Raffel, Leslie J %A Raitakari, Olli T %A Roll, Kathryn %A Rose, Lynda M %A Rosendaal, Frits R %A Rotter, Jerome I %A Schmidt, Carsten O %A Schreiner, Pamela J %A Schupf, Nicole %A Scott, William R %A Sever, Peter S %A Shi, Yuan %A Sidney, Stephen %A Sims, Mario %A Sitlani, Colleen M %A Smith, Jennifer A %A Snieder, Harold %A Starr, John M %A Strauch, Konstantin %A Stringham, Heather M %A Tan, Nicholas Y Q %A Tang, Hua %A Taylor, Kent D %A Teo, Yik Ying %A Tham, Yih Chung %A Turner, Stephen T %A Uitterlinden, André G %A Vollenweider, Peter %A Waldenberger, Melanie %A Wang, Lihua %A Wang, Ya Xing %A Wei, Wen Bin %A Williams, Christine %A Yao, Jie %A Yu, Caizheng %A Yuan, Jian-Min %A Zhao, Wei %A Zonderman, Alan B %A Becker, Diane M %A Boehnke, Michael %A Bowden, Donald W %A Chambers, John C %A Deary, Ian J %A Esko, Tõnu %A Farrall, Martin %A Franks, Paul W %A Freedman, Barry I %A Froguel, Philippe %A Gasparini, Paolo %A Gieger, Christian %A Jonas, Jost Bruno %A Kamatani, Yoichiro %A Kato, Norihiro %A Kooner, Jaspal S %A Kutalik, Zoltán %A Laakso, Markku %A Laurie, Cathy C %A Leander, Karin %A Lehtimäki, Terho %A Study, Lifelines Cohort %A Magnusson, Patrik K E %A Oldehinkel, Albertine J %A Penninx, Brenda W J H %A Polasek, Ozren %A Porteous, David J %A Rauramaa, Rainer %A Samani, Nilesh J %A Scott, James %A Shu, Xiao-Ou %A van der Harst, Pim %A Wagenknecht, Lynne E %A Wareham, Nicholas J %A Watkins, Hugh %A Weir, David R %A Wickremasinghe, Ananda R %A Wu, Tangchun %A Zheng, Wei %A Bouchard, Claude %A Christensen, Kaare %A Evans, Michele K %A Gudnason, Vilmundur %A Horta, Bernardo L %A Kardia, Sharon L R %A Liu, Yongmei %A Pereira, Alexandre C %A Psaty, Bruce M %A Ridker, Paul M %A van Dam, Rob M %A Gauderman, W James %A Zhu, Xiaofeng %A Mook-Kanamori, Dennis O %A Fornage, Myriam %A Rotimi, Charles N %A Cupples, L Adrienne %A Kelly, Tanika N %A Fox, Ervin R %A Hayward, Caroline %A van Duijn, Cornelia M %A Tai, E Shyong %A Wong, Tien Yin %A Kooperberg, Charles %A Palmas, Walter %A Rice, Kenneth %A Morrison, Alanna C %A Elliott, Paul %A Caulfield, Mark J %A Munroe, Patricia B %A Rao, Dabeeru C %A Province, Michael A %A Levy, Daniel %K Adolescent %K Adult %K Aged %K Aged, 80 and over %K Alcohol Drinking %K Blood Pressure %K Cohort Studies %K Female %K Gene-Environment Interaction %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Humans %K Hypertension %K Male %K Middle Aged %K Pedigree %K Polymorphism, Single Nucleotide %K Racial Groups %K Young Adult %X

Heavy alcohol consumption is an established risk factor for hypertension; the mechanism by which alcohol consumption impact blood pressure (BP) regulation remains unknown. We hypothesized that a genome-wide association study accounting for gene-alcohol consumption interaction for BP might identify additional BP loci and contribute to the understanding of alcohol-related BP regulation. We conducted a large two-stage investigation incorporating joint testing of main genetic effects and single nucleotide variant (SNV)-alcohol consumption interactions. In Stage 1, genome-wide discovery meta-analyses in ≈131K individuals across several ancestry groups yielded 3,514 SNVs (245 loci) with suggestive evidence of association (P < 1.0 x 10-5). In Stage 2, these SNVs were tested for independent external replication in ≈440K individuals across multiple ancestries. We identified and replicated (at Bonferroni correction threshold) five novel BP loci (380 SNVs in 21 genes) and 49 previously reported BP loci (2,159 SNVs in 109 genes) in European ancestry, and in multi-ancestry meta-analyses (P < 5.0 x 10-8). For African ancestry samples, we detected 18 potentially novel BP loci (P < 5.0 x 10-8) in Stage 1 that warrant further replication. Additionally, correlated meta-analysis identified eight novel BP loci (11 genes). Several genes in these loci (e.g., PINX1, GATA4, BLK, FTO and GABBR2) have been previously reported to be associated with alcohol consumption. These findings provide insights into the role of alcohol consumption in the genetic architecture of hypertension.

%B PLoS One %V 13 %P e0198166 %8 2018 %G eng %N 6 %1 https://www.ncbi.nlm.nih.gov/pubmed/29912962?dopt=Abstract %R 10.1371/journal.pone.0198166 %0 Journal Article %J Nat Genet %D 2018 %T Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. %A Turcot, Valérie %A Lu, Yingchang %A Highland, Heather M %A Schurmann, Claudia %A Justice, Anne E %A Fine, Rebecca S %A Bradfield, Jonathan P %A Esko, Tõnu %A Giri, Ayush %A Graff, Mariaelisa %A Guo, Xiuqing %A Hendricks, Audrey E %A Karaderi, Tugce %A Lempradl, Adelheid %A Locke, Adam E %A Mahajan, Anubha %A Marouli, Eirini %A Sivapalaratnam, Suthesh %A Young, Kristin L %A Alfred, Tamuno %A Feitosa, Mary F %A Masca, Nicholas G D %A Manning, Alisa K %A Medina-Gomez, Carolina %A Mudgal, Poorva %A Ng, Maggie C Y %A Reiner, Alex P %A Vedantam, Sailaja %A Willems, Sara M %A Winkler, Thomas W %A Abecasis, Goncalo %A Aben, Katja K %A Alam, Dewan S %A Alharthi, Sameer E %A Allison, Matthew %A Amouyel, Philippe %A Asselbergs, Folkert W %A Auer, Paul L %A Balkau, Beverley %A Bang, Lia E %A Barroso, Inês %A Bastarache, Lisa %A Benn, Marianne %A Bergmann, Sven %A Bielak, Lawrence F %A Blüher, Matthias %A Boehnke, Michael %A Boeing, Heiner %A Boerwinkle, Eric %A Böger, Carsten A %A Bork-Jensen, Jette %A Bots, Michiel L %A Bottinger, Erwin P %A Bowden, Donald W %A Brandslund, Ivan %A Breen, Gerome %A Brilliant, Murray H %A Broer, Linda %A Brumat, Marco %A Burt, Amber A %A Butterworth, Adam S %A Campbell, Peter T %A Cappellani, Stefania %A Carey, David J %A Catamo, Eulalia %A Caulfield, Mark J %A Chambers, John C %A Chasman, Daniel I %A Chen, Yii-Der I %A Chowdhury, Rajiv %A Christensen, Cramer %A Chu, Audrey Y %A Cocca, Massimiliano %A Collins, Francis S %A Cook, James P %A Corley, Janie %A Corominas Galbany, Jordi %A Cox, Amanda J %A Crosslin, David S %A Cuellar-Partida, Gabriel %A D'Eustacchio, Angela %A Danesh, John %A Davies, Gail %A Bakker, Paul I W %A Groot, Mark C H %A Mutsert, Renée %A Deary, Ian J %A Dedoussis, George %A Demerath, Ellen W %A Heijer, Martin %A Hollander, Anneke I %A Ruijter, Hester M %A Dennis, Joe G %A Denny, Josh C %A Di Angelantonio, Emanuele %A Drenos, Fotios %A Du, Mengmeng %A Dube, Marie-Pierre %A Dunning, Alison M %A Easton, Douglas F %A Edwards, Todd L %A Ellinghaus, David %A Ellinor, Patrick T %A Elliott, Paul %A Evangelou, Evangelos %A Farmaki, Aliki-Eleni %A Farooqi, I Sadaf %A Faul, Jessica D %A Fauser, Sascha %A Feng, Shuang %A Ferrannini, Ele %A Ferrieres, Jean %A Florez, Jose C %A Ford, Ian %A Fornage, Myriam %A Franco, Oscar H %A Franke, Andre %A Franks, Paul W %A Friedrich, Nele %A Frikke-Schmidt, Ruth %A Galesloot, Tessel E %A Gan, Wei %A Gandin, Ilaria %A Gasparini, Paolo %A Gibson, Jane %A Giedraitis, Vilmantas %A Gjesing, Anette P %A Gordon-Larsen, Penny %A Gorski, Mathias %A Grabe, Hans-Jörgen %A Grant, Struan F A %A Grarup, Niels %A Griffiths, Helen L %A Grove, Megan L %A Gudnason, Vilmundur %A Gustafsson, Stefan %A Haessler, Jeff %A Hakonarson, Hakon %A Hammerschlag, Anke R %A Hansen, Torben %A Harris, Kathleen Mullan %A Harris, Tamara B %A Hattersley, Andrew T %A Have, Christian T %A Hayward, Caroline %A He, Liang %A Heard-Costa, Nancy L %A Heath, Andrew C %A Heid, Iris M %A Helgeland, Øyvind %A Hernesniemi, Jussi %A Hewitt, Alex W %A Holmen, Oddgeir L %A Hovingh, G Kees %A Howson, Joanna M M %A Hu, Yao %A Huang, Paul L %A Huffman, Jennifer E %A Ikram, M Arfan %A Ingelsson, Erik %A Jackson, Anne U %A Jansson, Jan-Håkan %A Jarvik, Gail P %A Jensen, Gorm B %A Jia, Yucheng %A Johansson, Stefan %A Jørgensen, Marit E %A Jørgensen, Torben %A Jukema, J Wouter %A Kahali, Bratati %A Kahn, René S %A Kähönen, Mika %A Kamstrup, Pia R %A Kanoni, Stavroula %A Kaprio, Jaakko %A Karaleftheri, Maria %A Kardia, Sharon L R %A Karpe, Fredrik %A Kathiresan, Sekar %A Kee, Frank %A Kiemeney, Lambertus A %A Kim, Eric %A Kitajima, Hidetoshi %A Komulainen, Pirjo %A Kooner, Jaspal S %A Kooperberg, Charles %A Korhonen, Tellervo %A Kovacs, Peter %A Kuivaniemi, Helena %A Kutalik, Zoltán %A Kuulasmaa, Kari %A Kuusisto, Johanna %A Laakso, Markku %A Lakka, Timo A %A Lamparter, David %A Lange, Ethan M %A Lange, Leslie A %A Langenberg, Claudia %A Larson, Eric B %A Lee, Nanette R %A Lehtimäki, Terho %A Lewis, Cora E %A Li, Huaixing %A Li, Jin %A Li-Gao, Ruifang %A Lin, Honghuang %A Lin, Keng-Hung %A Lin, Li-An %A Lin, Xu %A Lind, Lars %A Lindström, Jaana %A Linneberg, Allan %A Liu, Ching-Ti %A Liu, Dajiang J %A Liu, Yongmei %A Lo, Ken S %A Lophatananon, Artitaya %A Lotery, Andrew J %A Loukola, Anu %A Luan, Jian'an %A Lubitz, Steven A %A Lyytikäinen, Leo-Pekka %A Männistö, Satu %A Marenne, Gaëlle %A Mazul, Angela L %A McCarthy, Mark I %A McKean-Cowdin, Roberta %A Medland, Sarah E %A Meidtner, Karina %A Milani, Lili %A Mistry, Vanisha %A Mitchell, Paul %A Mohlke, Karen L %A Moilanen, Leena %A Moitry, Marie %A Montgomery, Grant W %A Mook-Kanamori, Dennis O %A Moore, Carmel %A Mori, Trevor A %A Morris, Andrew D %A Morris, Andrew P %A Müller-Nurasyid, Martina %A Munroe, Patricia B %A Nalls, Mike A %A Narisu, Narisu %A Nelson, Christopher P %A Neville, Matt %A Nielsen, Sune F %A Nikus, Kjell %A Njølstad, Pål R %A Nordestgaard, Børge G %A Nyholt, Dale R %A O'Connel, Jeffrey R %A O'Donoghue, Michelle L %A Olde Loohuis, Loes M %A Ophoff, Roel A %A Owen, Katharine R %A Packard, Chris J %A Padmanabhan, Sandosh %A Palmer, Colin N A %A Palmer, Nicholette D %A Pasterkamp, Gerard %A Patel, Aniruddh P %A Pattie, Alison %A Pedersen, Oluf %A Peissig, Peggy L %A Peloso, Gina M %A Pennell, Craig E %A Perola, Markus %A Perry, James A %A Perry, John R B %A Pers, Tune H %A Person, Thomas N %A Peters, Annette %A Petersen, Eva R B %A Peyser, Patricia A %A Pirie, Ailith %A Polasek, Ozren %A Polderman, Tinca J %A Puolijoki, Hannu %A Raitakari, Olli T %A Rasheed, Asif %A Rauramaa, Rainer %A Reilly, Dermot F %A Renstrom, Frida %A Rheinberger, Myriam %A Ridker, Paul M %A Rioux, John D %A Rivas, Manuel A %A Roberts, David J %A Robertson, Neil R %A Robino, Antonietta %A Rolandsson, Olov %A Rudan, Igor %A Ruth, Katherine S %A Saleheen, Danish %A Salomaa, Veikko %A Samani, Nilesh J %A Sapkota, Yadav %A Sattar, Naveed %A Schoen, Robert E %A Schreiner, Pamela J %A Schulze, Matthias B %A Scott, Robert A %A Segura-Lepe, Marcelo P %A Shah, Svati H %A Sheu, Wayne H-H %A Sim, Xueling %A Slater, Andrew J %A Small, Kerrin S %A Smith, Albert V %A Southam, Lorraine %A Spector, Timothy D %A Speliotes, Elizabeth K %A Starr, John M %A Stefansson, Kari %A Steinthorsdottir, Valgerdur %A Stirrups, Kathleen E %A Strauch, Konstantin %A Stringham, Heather M %A Stumvoll, Michael %A Sun, Liang %A Surendran, Praveen %A Swift, Amy J %A Tada, Hayato %A Tansey, Katherine E %A Tardif, Jean-Claude %A Taylor, Kent D %A Teumer, Alexander %A Thompson, Deborah J %A Thorleifsson, Gudmar %A Thorsteinsdottir, Unnur %A Thuesen, Betina H %A Tonjes, Anke %A Tromp, Gerard %A Trompet, Stella %A Tsafantakis, Emmanouil %A Tuomilehto, Jaakko %A Tybjaerg-Hansen, Anne %A Tyrer, Jonathan P %A Uher, Rudolf %A Uitterlinden, André G %A Uusitupa, Matti %A Laan, Sander W %A Duijn, Cornelia M %A Leeuwen, Nienke %A van Setten, Jessica %A Vanhala, Mauno %A Varbo, Anette %A Varga, Tibor V %A Varma, Rohit %A Velez Edwards, Digna R %A Vermeulen, Sita H %A Veronesi, Giovanni %A Vestergaard, Henrik %A Vitart, Veronique %A Vogt, Thomas F %A Völker, Uwe %A Vuckovic, Dragana %A Wagenknecht, Lynne E %A Walker, Mark %A Wallentin, Lars %A Wang, Feijie %A Wang, Carol A %A Wang, Shuai %A Wang, Yiqin %A Ware, Erin B %A Wareham, Nicholas J %A Warren, Helen R %A Waterworth, Dawn M %A Wessel, Jennifer %A White, Harvey D %A Willer, Cristen J %A Wilson, James G %A Witte, Daniel R %A Wood, Andrew R %A Wu, Ying %A Yaghootkar, Hanieh %A Yao, Jie %A Yao, Pang %A Yerges-Armstrong, Laura M %A Young, Robin %A Zeggini, Eleftheria %A Zhan, Xiaowei %A Zhang, Weihua %A Zhao, Jing Hua %A Zhao, Wei %A Zhao, Wei %A Zhou, Wei %A Zondervan, Krina T %A Rotter, Jerome I %A Pospisilik, John A %A Rivadeneira, Fernando %A Borecki, Ingrid B %A Deloukas, Panos %A Frayling, Timothy M %A Lettre, Guillaume %A North, Kari E %A Lindgren, Cecilia M %A Hirschhorn, Joel N %A Loos, Ruth J F %K Adult %K Animals %K Body Mass Index %K Drosophila %K Energy Intake %K Energy Metabolism %K Female %K Gene Frequency %K Genetic Variation %K Humans %K Male %K Obesity %K Proteins %K Syndrome %X

Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, noncoding variants from which pinpointing causal genes remains challenging. Here we combined data from 718,734 individuals to discover rare and low-frequency (minor allele frequency (MAF) < 5%) coding variants associated with BMI. We identified 14 coding variants in 13 genes, of which 8 variants were in genes (ZBTB7B, ACHE, RAPGEF3, RAB21, ZFHX3, ENTPD6, ZFR2 and ZNF169) newly implicated in human obesity, 2 variants were in genes (MC4R and KSR2) previously observed to be mutated in extreme obesity and 2 variants were in GIPR. The effect sizes of rare variants are ~10 times larger than those of common variants, with the largest effect observed in carriers of an MC4R mutation introducing a stop codon (p.Tyr35Ter, MAF = 0.01%), who weighed ~7 kg more than non-carriers. Pathway analyses based on the variants associated with BMI confirm enrichment of neuronal genes and provide new evidence for adipocyte and energy expenditure biology, widening the potential of genetically supported therapeutic targets in obesity.

%B Nat Genet %V 50 %P 26-41 %8 2018 Jan %G eng %N 1 %1 https://www.ncbi.nlm.nih.gov/pubmed/29273807?dopt=Abstract %R 10.1038/s41588-017-0011-x %0 Journal Article %J Nat Genet %D 2018 %T Publisher Correction: Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits. %A Evangelou, Evangelos %A Warren, Helen R %A Mosen-Ansorena, David %A Mifsud, Borbala %A Pazoki, Raha %A Gao, He %A Ntritsos, Georgios %A Dimou, Niki %A Cabrera, Claudia P %A Karaman, Ibrahim %A Ng, Fu Liang %A Evangelou, Marina %A Witkowska, Katarzyna %A Tzanis, Evan %A Hellwege, Jacklyn N %A Giri, Ayush %A Velez Edwards, Digna R %A Sun, Yan V %A Cho, Kelly %A Gaziano, J Michael %A Wilson, Peter W F %A Tsao, Philip S %A Kovesdy, Csaba P %A Esko, Tõnu %A Mägi, Reedik %A Milani, Lili %A Almgren, Peter %A Boutin, Thibaud %A Debette, Stephanie %A Ding, Jun %A Giulianini, Franco %A Holliday, Elizabeth G %A Jackson, Anne U %A Li-Gao, Ruifang %A Lin, Wei-Yu %A Luan, Jian'an %A Mangino, Massimo %A Oldmeadow, Christopher %A Prins, Bram Peter %A Qian, Yong %A Sargurupremraj, Muralidharan %A Shah, Nabi %A Surendran, Praveen %A Thériault, Sébastien %A Verweij, Niek %A Willems, Sara M %A Zhao, Jing-Hua %A Amouyel, Philippe %A Connell, John %A de Mutsert, Renée %A Doney, Alex S F %A Farrall, Martin %A Menni, Cristina %A Morris, Andrew D %A Noordam, Raymond %A Paré, Guillaume %A Poulter, Neil R %A Shields, Denis C %A Stanton, Alice %A Thom, Simon %A Abecasis, Goncalo %A Amin, Najaf %A Arking, Dan E %A Ayers, Kristin L %A Barbieri, Caterina M %A Batini, Chiara %A Bis, Joshua C %A Blake, Tineka %A Bochud, Murielle %A Boehnke, Michael %A Eric Boerwinkle %A Boomsma, Dorret I %A Bottinger, Erwin P %A Braund, Peter S %A Brumat, Marco %A Campbell, Archie %A Campbell, Harry %A Chakravarti, Aravinda %A Chambers, John C %A Chauhan, Ganesh %A Ciullo, Marina %A Cocca, Massimiliano %A Collins, Francis %A Cordell, Heather J %A Davies, Gail %A de Borst, Martin H %A de Geus, Eco J %A Deary, Ian J %A Deelen, Joris %A Del Greco M, Fabiola %A Demirkale, Cumhur Yusuf %A Dörr, Marcus %A Ehret, Georg B %A Elosua, Roberto %A Enroth, Stefan %A Erzurumluoglu, A Mesut %A Ferreira, Teresa %A Frånberg, Mattias %A Franco, Oscar H %A Gandin, Ilaria %A Gasparini, Paolo %A Giedraitis, Vilmantas %A Gieger, Christian %A Girotto, Giorgia %A Goel, Anuj %A Gow, Alan J %A Gudnason, Vilmundur %A Guo, Xiuqing %A Gyllensten, Ulf %A Hamsten, Anders %A Harris, Tamara B %A Harris, Sarah E %A Hartman, Catharina A %A Havulinna, Aki S %A Hicks, Andrew A %A Hofer, Edith %A Hofman, Albert %A Hottenga, Jouke-Jan %A Huffman, Jennifer E %A Hwang, Shih-Jen %A Ingelsson, Erik %A James, Alan %A Jansen, Rick %A Jarvelin, Marjo-Riitta %A Joehanes, Roby %A Johansson, Åsa %A Johnson, Andrew D %A Joshi, Peter K %A Jousilahti, Pekka %A Jukema, J Wouter %A Jula, Antti %A Kähönen, Mika %A Kathiresan, Sekar %A Keavney, Bernard D %A Khaw, Kay-Tee %A Knekt, Paul %A Knight, Joanne %A Kolcic, Ivana %A Kooner, Jaspal S %A Koskinen, Seppo %A Kristiansson, Kati %A Kutalik, Zoltán %A Laan, Maris %A Larson, Marty %A Launer, Lenore J %A Lehne, Benjamin %A Lehtimäki, Terho %A Liewald, David C M %A Lin, Li %A Lind, Lars %A Lindgren, Cecilia M %A Liu, Yongmei %A Loos, Ruth J F %A Lopez, Lorna M %A Lu, Yingchang %A Lyytikäinen, Leo-Pekka %A Mahajan, Anubha %A Mamasoula, Chrysovalanto %A Marrugat, Jaume %A Marten, Jonathan %A Milaneschi, Yuri %A Morgan, Anna %A Morris, Andrew P %A Morrison, Alanna C %A Munson, Peter J %A Nalls, Mike A %A Nandakumar, Priyanka %A Nelson, Christopher P %A Niiranen, Teemu %A Nolte, Ilja M %A Nutile, Teresa %A Oldehinkel, Albertine J %A Oostra, Ben A %A O'Reilly, Paul F %A Org, Elin %A Padmanabhan, Sandosh %A Palmas, Walter %A Palotie, Aarno %A Pattie, Alison %A Penninx, Brenda W J H %A Perola, Markus %A Peters, Annette %A Polasek, Ozren %A Pramstaller, Peter P %A Nguyen, Quang Tri %A Raitakari, Olli T %A Ren, Meixia %A Rettig, Rainer %A Rice, Kenneth %A Ridker, Paul M %A Ried, Janina S %A Riese, Harriëtte %A Ripatti, Samuli %A Robino, Antonietta %A Rose, Lynda M %A Rotter, Jerome I %A Rudan, Igor %A Ruggiero, Daniela %A Saba, Yasaman %A Sala, Cinzia F %A Salomaa, Veikko %A Samani, Nilesh J %A Sarin, Antti-Pekka %A Schmidt, Reinhold %A Schmidt, Helena %A Shrine, Nick %A Siscovick, David %A Smith, Albert V %A Snieder, Harold %A Sõber, Siim %A Sorice, Rossella %A Starr, John M %A Stott, David J %A Strachan, David P %A Strawbridge, Rona J %A Sundström, Johan %A Swertz, Morris A %A Taylor, Kent D %A Teumer, Alexander %A Tobin, Martin D %A Tomaszewski, Maciej %A Toniolo, Daniela %A Traglia, Michela %A Trompet, Stella %A Tuomilehto, Jaakko %A Tzourio, Christophe %A Uitterlinden, André G %A Vaez, Ahmad %A van der Most, Peter J %A van Duijn, Cornelia M %A Vergnaud, Anne-Claire %A Verwoert, Germaine C %A Vitart, Veronique %A Völker, Uwe %A Vollenweider, Peter %A Vuckovic, Dragana %A Watkins, Hugh %A Wild, Sarah H %A Willemsen, Gonneke %A Wilson, James F %A Wright, Alan F %A Yao, Jie %A Zemunik, Tatijana %A Zhang, Weihua %A Attia, John R %A Butterworth, Adam S %A Chasman, Daniel I %A Conen, David %A Cucca, Francesco %A Danesh, John %A Hayward, Caroline %A Howson, Joanna M M %A Laakso, Markku %A Lakatta, Edward G %A Langenberg, Claudia %A Melander, Olle %A Mook-Kanamori, Dennis O %A Palmer, Colin N A %A Risch, Lorenz %A Scott, Robert A %A Scott, Rodney J %A Sever, Peter %A Spector, Tim D %A van der Harst, Pim %A Wareham, Nicholas J %A Zeggini, Eleftheria %A Levy, Daniel %A Munroe, Patricia B %A Newton-Cheh, Christopher %A Brown, Morris J %A Metspalu, Andres %A Hung, Adriana M %A O'Donnell, Christopher J %A Edwards, Todd L %A Psaty, Bruce M %A Tzoulaki, Ioanna %A Barnes, Michael R %A Wain, Louise V %A Elliott, Paul %A Caulfield, Mark J %X

In the version of this article originally published, the name of author Martin H. de Borst was coded incorrectly in the XML. The error has now been corrected in the HTML version of the paper.

%B Nat Genet %V 50 %P 1755 %8 2018 Dec %G eng %N 12 %1 https://www.ncbi.nlm.nih.gov/pubmed/30429575?dopt=Abstract %R 10.1038/s41588-018-0297-3 %0 Journal Article %J Nat Genet %D 2018 %T Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. %A Turcot, Valérie %A Lu, Yingchang %A Highland, Heather M %A Schurmann, Claudia %A Justice, Anne E %A Fine, Rebecca S %A Bradfield, Jonathan P %A Esko, Tõnu %A Giri, Ayush %A Graff, Mariaelisa %A Guo, Xiuqing %A Hendricks, Audrey E %A Karaderi, Tugce %A Lempradl, Adelheid %A Locke, Adam E %A Mahajan, Anubha %A Marouli, Eirini %A Sivapalaratnam, Suthesh %A Young, Kristin L %A Alfred, Tamuno %A Feitosa, Mary F %A Masca, Nicholas G D %A Manning, Alisa K %A Medina-Gomez, Carolina %A Mudgal, Poorva %A Ng, Maggie C Y %A Reiner, Alex P %A Vedantam, Sailaja %A Willems, Sara M %A Winkler, Thomas W %A Abecasis, Goncalo %A Aben, Katja K %A Alam, Dewan S %A Alharthi, Sameer E %A Allison, Matthew %A Amouyel, Philippe %A Asselbergs, Folkert W %A Auer, Paul L %A Balkau, Beverley %A Bang, Lia E %A Barroso, Inês %A Bastarache, Lisa %A Benn, Marianne %A Bergmann, Sven %A Bielak, Lawrence F %A Blüher, Matthias %A Boehnke, Michael %A Boeing, Heiner %A Eric Boerwinkle %A Böger, Carsten A %A Bork-Jensen, Jette %A Bots, Michiel L %A Bottinger, Erwin P %A Bowden, Donald W %A Brandslund, Ivan %A Breen, Gerome %A Brilliant, Murray H %A Broer, Linda %A Brumat, Marco %A Burt, Amber A %A Butterworth, Adam S %A Campbell, Peter T %A Cappellani, Stefania %A Carey, David J %A Catamo, Eulalia %A Caulfield, Mark J %A Chambers, John C %A Chasman, Daniel I %A Chen, Yii-Der I %A Chowdhury, Rajiv %A Christensen, Cramer %A Chu, Audrey Y %A Cocca, Massimiliano %A Collins, Francis S %A Cook, James P %A Corley, Janie %A Corominas Galbany, Jordi %A Cox, Amanda J %A Crosslin, David S %A Cuellar-Partida, Gabriel %A D'Eustacchio, Angela %A Danesh, John %A Davies, Gail %A Bakker, Paul I W %A Groot, Mark C H %A Mutsert, Renée %A Deary, Ian J %A Dedoussis, George %A Demerath, Ellen W %A Heijer, Martin %A Hollander, Anneke I %A Ruijter, Hester M %A Dennis, Joe G %A Denny, Josh C %A Di Angelantonio, Emanuele %A Drenos, Fotios %A Du, Mengmeng %A Dube, Marie-Pierre %A Dunning, Alison M %A Easton, Douglas F %A Edwards, Todd L %A Ellinghaus, David %A Ellinor, Patrick T %A Elliott, Paul %A Evangelou, Evangelos %A Farmaki, Aliki-Eleni %A Farooqi, I Sadaf %A Faul, Jessica D %A Fauser, Sascha %A Feng, Shuang %A Ferrannini, Ele %A Ferrieres, Jean %A Florez, Jose C %A Ford, Ian %A Fornage, Myriam %A Franco, Oscar H %A Franke, Andre %A Franks, Paul W %A Friedrich, Nele %A Frikke-Schmidt, Ruth %A Galesloot, Tessel E %A Gan, Wei %A Gandin, Ilaria %A Gasparini, Paolo %A Gibson, Jane %A Giedraitis, Vilmantas %A Gjesing, Anette P %A Gordon-Larsen, Penny %A Gorski, Mathias %A Grabe, Hans-Jörgen %A Grant, Struan F A %A Grarup, Niels %A Griffiths, Helen L %A Grove, Megan L %A Gudnason, Vilmundur %A Gustafsson, Stefan %A Haessler, Jeff %A Hakonarson, Hakon %A Hammerschlag, Anke R %A Hansen, Torben %A Harris, Kathleen Mullan %A Harris, Tamara B %A Hattersley, Andrew T %A Have, Christian T %A Hayward, Caroline %A He, Liang %A Heard-Costa, Nancy L %A Heath, Andrew C %A Heid, Iris M %A Helgeland, Øyvind %A Hernesniemi, Jussi %A Hewitt, Alex W %A Holmen, Oddgeir L %A Hovingh, G Kees %A Howson, Joanna M M %A Hu, Yao %A Huang, Paul L %A Huffman, Jennifer E %A Ikram, M Arfan %A Ingelsson, Erik %A Jackson, Anne U %A Jansson, Jan-Håkan %A Jarvik, Gail P %A Jensen, Gorm B %A Jia, Yucheng %A Johansson, Stefan %A Jørgensen, Marit E %A Jørgensen, Torben %A Jukema, J Wouter %A Kahali, Bratati %A Kahn, René S %A Kähönen, Mika %A Kamstrup, Pia R %A Kanoni, Stavroula %A Kaprio, Jaakko %A Karaleftheri, Maria %A Kardia, Sharon L R %A Karpe, Fredrik %A Kathiresan, Sekar %A Kee, Frank %A Kiemeney, Lambertus A %A Kim, Eric %A Kitajima, Hidetoshi %A Komulainen, Pirjo %A Kooner, Jaspal S %A Kooperberg, Charles %A Korhonen, Tellervo %A Kovacs, Peter %A Kuivaniemi, Helena %A Kutalik, Zoltán %A Kuulasmaa, Kari %A Kuusisto, Johanna %A Laakso, Markku %A Lakka, Timo A %A Lamparter, David %A Lange, Ethan M %A Lange, Leslie A %A Langenberg, Claudia %A Larson, Eric B %A Lee, Nanette R %A Lehtimäki, Terho %A Lewis, Cora E %A Li, Huaixing %A Li, Jin %A Li-Gao, Ruifang %A Lin, Honghuang %A Lin, Keng-Hung %A Lin, Li-An %A Lin, Xu %A Lind, Lars %A Lindström, Jaana %A Linneberg, Allan %A Liu, Ching-Ti %A Liu, Dajiang J %A Liu, Yongmei %A Lo, Ken S %A Lophatananon, Artitaya %A Lotery, Andrew J %A Loukola, Anu %A Luan, Jian'an %A Lubitz, Steven A %A Lyytikäinen, Leo-Pekka %A Männistö, Satu %A Marenne, Gaëlle %A Mazul, Angela L %A McCarthy, Mark I %A McKean-Cowdin, Roberta %A Medland, Sarah E %A Meidtner, Karina %A Milani, Lili %A Mistry, Vanisha %A Mitchell, Paul %A Mohlke, Karen L %A Moilanen, Leena %A Moitry, Marie %A Montgomery, Grant W %A Mook-Kanamori, Dennis O %A Moore, Carmel %A Mori, Trevor A %A Morris, Andrew D %A Morris, Andrew P %A Müller-Nurasyid, Martina %A Munroe, Patricia B %A Nalls, Mike A %A Narisu, Narisu %A Nelson, Christopher P %A Neville, Matt %A Nielsen, Sune F %A Nikus, Kjell %A Njølstad, Pål R %A Nordestgaard, Børge G %A Nyholt, Dale R %A O'Connel, Jeffrey R %A O'Donoghue, Michelle L %A Olde Loohuis, Loes M %A Ophoff, Roel A %A Owen, Katharine R %A Packard, Chris J %A Padmanabhan, Sandosh %A Palmer, Colin N A %A Palmer, Nicholette D %A Pasterkamp, Gerard %A Patel, Aniruddh P %A Pattie, Alison %A Pedersen, Oluf %A Peissig, Peggy L %A Peloso, Gina M %A Pennell, Craig E %A Perola, Markus %A Perry, James A %A Perry, John R B %A Pers, Tune H %A Person, Thomas N %A Peters, Annette %A Petersen, Eva R B %A Peyser, Patricia A %A Pirie, Ailith %A Polasek, Ozren %A Polderman, Tinca J %A Puolijoki, Hannu %A Raitakari, Olli T %A Rasheed, Asif %A Rauramaa, Rainer %A Reilly, Dermot F %A Renstrom, Frida %A Rheinberger, Myriam %A Ridker, Paul M %A Rioux, John D %A Rivas, Manuel A %A Roberts, David J %A Robertson, Neil R %A Robino, Antonietta %A Rolandsson, Olov %A Rudan, Igor %A Ruth, Katherine S %A Saleheen, Danish %A Salomaa, Veikko %A Samani, Nilesh J %A Sapkota, Yadav %A Sattar, Naveed %A Schoen, Robert E %A Schreiner, Pamela J %A Schulze, Matthias B %A Scott, Robert A %A Segura-Lepe, Marcelo P %A Shah, Svati H %A Sheu, Wayne H-H %A Sim, Xueling %A Slater, Andrew J %A Small, Kerrin S %A Smith, Albert V %A Southam, Lorraine %A Spector, Timothy D %A Speliotes, Elizabeth K %A Starr, John M %A Stefansson, Kari %A Steinthorsdottir, Valgerdur %A Stirrups, Kathleen E %A Strauch, Konstantin %A Stringham, Heather M %A Stumvoll, Michael %A Sun, Liang %A Surendran, Praveen %A Swift, Amy J %A Tada, Hayato %A Tansey, Katherine E %A Tardif, Jean-Claude %A Taylor, Kent D %A Teumer, Alexander %A Thompson, Deborah J %A Thorleifsson, Gudmar %A Thorsteinsdottir, Unnur %A Thuesen, Betina H %A Tonjes, Anke %A Tromp, Gerard %A Trompet, Stella %A Tsafantakis, Emmanouil %A Tuomilehto, Jaakko %A Tybjaerg-Hansen, Anne %A Tyrer, Jonathan P %A Uher, Rudolf %A Uitterlinden, André G %A Uusitupa, Matti %A Laan, Sander W %A Duijn, Cornelia M %A Leeuwen, Nienke %A van Setten, Jessica %A Vanhala, Mauno %A Varbo, Anette %A Varga, Tibor V %A Varma, Rohit %A Velez Edwards, Digna R %A Vermeulen, Sita H %A Veronesi, Giovanni %A Vestergaard, Henrik %A Vitart, Veronique %A Vogt, Thomas F %A Völker, Uwe %A Vuckovic, Dragana %A Wagenknecht, Lynne E %A Walker, Mark %A Wallentin, Lars %A Wang, Feijie %A Wang, Carol A %A Wang, Shuai %A Wang, Yiqin %A Ware, Erin B %A Wareham, Nicholas J %A Warren, Helen R %A Waterworth, Dawn M %A Wessel, Jennifer %A White, Harvey D %A Willer, Cristen J %A Wilson, James G %A Witte, Daniel R %A Wood, Andrew R %A Wu, Ying %A Yaghootkar, Hanieh %A Yao, Jie %A Yao, Pang %A Yerges-Armstrong, Laura M %A Young, Robin %A Zeggini, Eleftheria %A Zhan, Xiaowei %A Zhang, Weihua %A Zhao, Jing Hua %A Zhao, Wei %A Zhao, Wei %A Zhou, Wei %A Zondervan, Krina T %A Rotter, Jerome I %A Pospisilik, John A %A Rivadeneira, Fernando %A Borecki, Ingrid B %A Deloukas, Panos %A Frayling, Timothy M %A Lettre, Guillaume %A North, Kari E %A Lindgren, Cecilia M %A Hirschhorn, Joel N %A Loos, Ruth J F %X

In the version of this article originally published, one of the two authors with the name Wei Zhao was omitted from the author list and the affiliations for both authors were assigned to the single Wei Zhao in the author list. In addition, the ORCID for Wei Zhao (Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA) was incorrectly assigned to author Wei Zhou. The errors have been corrected in the HTML and PDF versions of the article.

%B Nat Genet %V 50 %P 766-767 %8 2018 May %G eng %N 5 %1 https://www.ncbi.nlm.nih.gov/pubmed/29549330?dopt=Abstract %R 10.1038/s41588-018-0082-3 %0 Journal Article %J Nat Genet %D 2018 %T Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. %A Turcot, Valérie %A Lu, Yingchang %A Highland, Heather M %A Schurmann, Claudia %A Justice, Anne E %A Fine, Rebecca S %A Bradfield, Jonathan P %A Esko, Tõnu %A Giri, Ayush %A Graff, Mariaelisa %A Guo, Xiuqing %A Hendricks, Audrey E %A Karaderi, Tugce %A Lempradl, Adelheid %A Locke, Adam E %A Mahajan, Anubha %A Marouli, Eirini %A Sivapalaratnam, Suthesh %A Young, Kristin L %A Alfred, Tamuno %A Feitosa, Mary F %A Masca, Nicholas G D %A Manning, Alisa K %A Medina-Gomez, Carolina %A Mudgal, Poorva %A Ng, Maggie C Y %A Reiner, Alex P %A Vedantam, Sailaja %A Willems, Sara M %A Winkler, Thomas W %A Abecasis, Goncalo %A Aben, Katja K %A Alam, Dewan S %A Alharthi, Sameer E %A Allison, Matthew %A Amouyel, Philippe %A Asselbergs, Folkert W %A Auer, Paul L %A Balkau, Beverley %A Bang, Lia E %A Barroso, Inês %A Bastarache, Lisa %A Benn, Marianne %A Bergmann, Sven %A Bielak, Lawrence F %A Blüher, Matthias %A Boehnke, Michael %A Boeing, Heiner %A Eric Boerwinkle %A Böger, Carsten A %A Bork-Jensen, Jette %A Bots, Michiel L %A Bottinger, Erwin P %A Bowden, Donald W %A Brandslund, Ivan %A Breen, Gerome %A Brilliant, Murray H %A Broer, Linda %A Brumat, Marco %A Burt, Amber A %A Butterworth, Adam S %A Campbell, Peter T %A Cappellani, Stefania %A Carey, David J %A Catamo, Eulalia %A Caulfield, Mark J %A Chambers, John C %A Chasman, Daniel I %A Chen, Yii-Der I %A Chowdhury, Rajiv %A Christensen, Cramer %A Chu, Audrey Y %A Cocca, Massimiliano %A Collins, Francis S %A Cook, James P %A Corley, Janie %A Corominas Galbany, Jordi %A Cox, Amanda J %A Crosslin, David S %A Cuellar-Partida, Gabriel %A D'Eustacchio, Angela %A Danesh, John %A Davies, Gail %A Bakker, Paul I W %A Groot, Mark C H %A Mutsert, Renée %A Deary, Ian J %A Dedoussis, George %A Demerath, Ellen W %A Heijer, Martin %A Hollander, Anneke I %A Ruijter, Hester M %A Dennis, Joe G %A Denny, Josh C %A Angelantonio, Emanuele %A Drenos, Fotios %A Du, Mengmeng %A Dube, Marie-Pierre %A Dunning, Alison M %A Easton, Douglas F %A Edwards, Todd L %A Ellinghaus, David %A Ellinor, Patrick T %A Elliott, Paul %A Evangelou, Evangelos %A Farmaki, Aliki-Eleni %A Farooqi, I Sadaf %A Faul, Jessica D %A Fauser, Sascha %A Feng, Shuang %A Ferrannini, Ele %A Ferrieres, Jean %A Florez, Jose C %A Ford, Ian %A Fornage, Myriam %A Franco, Oscar H %A Franke, Andre %A Franks, Paul W %A Friedrich, Nele %A Frikke-Schmidt, Ruth %A Galesloot, Tessel E %A Gan, Wei %A Gandin, Ilaria %A Gasparini, Paolo %A Gibson, Jane %A Giedraitis, Vilmantas %A Gjesing, Anette P %A Gordon-Larsen, Penny %A Gorski, Mathias %A Grabe, Hans-Jörgen %A Grant, Struan F A %A Grarup, Niels %A Griffiths, Helen L %A Grove, Megan L %A Gudnason, Vilmundur %A Gustafsson, Stefan %A Haessler, Jeff %A Hakonarson, Hakon %A Hammerschlag, Anke R %A Hansen, Torben %A Harris, Kathleen Mullan %A Harris, Tamara B %A Hattersley, Andrew T %A Have, Christian T %A Hayward, Caroline %A He, Liang %A Heard-Costa, Nancy L %A Heath, Andrew C %A Heid, Iris M %A Helgeland, Øyvind %A Hernesniemi, Jussi %A Hewitt, Alex W %A Holmen, Oddgeir L %A Hovingh, G Kees %A Howson, Joanna M M %A Hu, Yao %A Huang, Paul L %A Huffman, Jennifer E %A Ikram, M Arfan %A Ingelsson, Erik %A Jackson, Anne U %A Jansson, Jan-Håkan %A Jarvik, Gail P %A Jensen, Gorm B %A Jia, Yucheng %A Johansson, Stefan %A Jørgensen, Marit E %A Jørgensen, Torben %A Jukema, J Wouter %A Kahali, Bratati %A Kahn, René S %A Kähönen, Mika %A Kamstrup, Pia R %A Kanoni, Stavroula %A Kaprio, Jaakko %A Karaleftheri, Maria %A Kardia, Sharon L R %A Karpe, Fredrik %A Kathiresan, Sekar %A Kee, Frank %A Kiemeney, Lambertus A %A Kim, Eric %A Kitajima, Hidetoshi %A Komulainen, Pirjo %A Kooner, Jaspal S %A Kooperberg, Charles %A Korhonen, Tellervo %A Kovacs, Peter %A Kuivaniemi, Helena %A Kutalik, Zoltán %A Kuulasmaa, Kari %A Kuusisto, Johanna %A Laakso, Markku %A Lakka, Timo A %A Lamparter, David %A Lange, Ethan M %A Lange, Leslie A %A Langenberg, Claudia %A Larson, Eric B %A Lee, Nanette R %A Lehtimäki, Terho %A Lewis, Cora E %A Li, Huaixing %A Li, Jin %A Li-Gao, Ruifang %A Lin, Honghuang %A Lin, Keng-Hung %A Lin, Li-An %A Lin, Xu %A Lind, Lars %A Lindström, Jaana %A Linneberg, Allan %A Liu, Ching-Ti %A Liu, Dajiang J %A Liu, Yongmei %A Lo, Ken S %A Lophatananon, Artitaya %A Lotery, Andrew J %A Loukola, Anu %A Luan, Jian'an %A Lubitz, Steven A %A Lyytikäinen, Leo-Pekka %A Männistö, Satu %A Marenne, Gaëlle %A Mazul, Angela L %A McCarthy, Mark I %A McKean-Cowdin, Roberta %A Medland, Sarah E %A Meidtner, Karina %A Milani, Lili %A Mistry, Vanisha %A Mitchell, Paul %A Mohlke, Karen L %A Moilanen, Leena %A Moitry, Marie %A Montgomery, Grant W %A Mook-Kanamori, Dennis O %A Moore, Carmel %A Mori, Trevor A %A Morris, Andrew D %A Morris, Andrew P %A Müller-Nurasyid, Martina %A Munroe, Patricia B %A Nalls, Mike A %A Narisu, Narisu %A Nelson, Christopher P %A Neville, Matt %A Nielsen, Sune F %A Nikus, Kjell %A Njølstad, Pål R %A Nordestgaard, Børge G %A Nyholt, Dale R %A O'Connel, Jeffrey R %A O'Donoghue, Michelle L %A Olde Loohuis, Loes M %A Ophoff, Roel A %A Owen, Katharine R %A Packard, Chris J %A Padmanabhan, Sandosh %A Palmer, Colin N A %A Palmer, Nicholette D %A Pasterkamp, Gerard %A Patel, Aniruddh P %A Pattie, Alison %A Pedersen, Oluf %A Peissig, Peggy L %A Peloso, Gina M %A Pennell, Craig E %A Perola, Markus %A Perry, James A %A Perry, John R B %A Pers, Tune H %A Person, Thomas N %A Peters, Annette %A Petersen, Eva R B %A Peyser, Patricia A %A Pirie, Ailith %A Polasek, Ozren %A Polderman, Tinca J %A Puolijoki, Hannu %A Raitakari, Olli T %A Rasheed, Asif %A Rauramaa, Rainer %A Reilly, Dermot F %A Renstrom, Frida %A Rheinberger, Myriam %A Ridker, Paul M %A Rioux, John D %A Rivas, Manuel A %A Roberts, David J %A Robertson, Neil R %A Robino, Antonietta %A Rolandsson, Olov %A Rudan, Igor %A Ruth, Katherine S %A Saleheen, Danish %A Salomaa, Veikko %A Samani, Nilesh J %A Sapkota, Yadav %A Sattar, Naveed %A Schoen, Robert E %A Schreiner, Pamela J %A Schulze, Matthias B %A Scott, Robert A %A Segura-Lepe, Marcelo P %A Shah, Svati H %A Sheu, Wayne H-H %A Sim, Xueling %A Slater, Andrew J %A Small, Kerrin S %A Smith, Albert V %A Southam, Lorraine %A Spector, Timothy D %A Speliotes, Elizabeth K %A Starr, John M %A Stefansson, Kari %A Steinthorsdottir, Valgerdur %A Stirrups, Kathleen E %A Strauch, Konstantin %A Stringham, Heather M %A Stumvoll, Michael %A Sun, Liang %A Surendran, Praveen %A Swift, Amy J %A Tada, Hayato %A Tansey, Katherine E %A Tardif, Jean-Claude %A Taylor, Kent D %A Teumer, Alexander %A Thompson, Deborah J %A Thorleifsson, Gudmar %A Thorsteinsdottir, Unnur %A Thuesen, Betina H %A Tonjes, Anke %A Tromp, Gerard %A Trompet, Stella %A Tsafantakis, Emmanouil %A Tuomilehto, Jaakko %A Tybjaerg-Hansen, Anne %A Tyrer, Jonathan P %A Uher, Rudolf %A Uitterlinden, André G %A Uusitupa, Matti %A Laan, Sander W %A Duijn, Cornelia M %A Leeuwen, Nienke %A van Setten, Jessica %A Vanhala, Mauno %A Varbo, Anette %A Varga, Tibor V %A Varma, Rohit %A Velez Edwards, Digna R %A Vermeulen, Sita H %A Veronesi, Giovanni %A Vestergaard, Henrik %A Vitart, Veronique %A Vogt, Thomas F %A Völker, Uwe %A Vuckovic, Dragana %A Wagenknecht, Lynne E %A Walker, Mark %A Wallentin, Lars %A Wang, Feijie %A Wang, Carol A %A Wang, Shuai %A Wang, Yiqin %A Ware, Erin B %A Wareham, Nicholas J %A Warren, Helen R %A Waterworth, Dawn M %A Wessel, Jennifer %A White, Harvey D %A Willer, Cristen J %A Wilson, James G %A Witte, Daniel R %A Wood, Andrew R %A Wu, Ying %A Yaghootkar, Hanieh %A Yao, Jie %A Yao, Pang %A Yerges-Armstrong, Laura M %A Young, Robin %A Zeggini, Eleftheria %A Zhan, Xiaowei %A Zhang, Weihua %A Zhao, Jing Hua %A Zhao, Wei %A Zhou, Wei %A Zondervan, Krina T %A Rotter, Jerome I %A Pospisilik, John A %A Rivadeneira, Fernando %A Borecki, Ingrid B %A Deloukas, Panos %A Frayling, Timothy M %A Lettre, Guillaume %A North, Kari E %A Lindgren, Cecilia M %A Hirschhorn, Joel N %A Loos, Ruth J F %X

In the published version of this paper, the name of author Emanuele Di Angelantonio was misspelled. This error has now been corrected in the HTML and PDF versions of the article.

%B Nat Genet %V 50 %P 765-766 %8 2018 May %G eng %N 5 %1 https://www.ncbi.nlm.nih.gov/pubmed/29549329?dopt=Abstract %R 10.1038/s41588-018-0050-y %0 Journal Article %J Nat Genet %D 2018 %T Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes. %A Mahajan, Anubha %A Wessel, Jennifer %A Willems, Sara M %A Zhao, Wei %A Robertson, Neil R %A Chu, Audrey Y %A Gan, Wei %A Kitajima, Hidetoshi %A Taliun, Daniel %A Rayner, N William %A Guo, Xiuqing %A Lu, Yingchang %A Li, Man %A Jensen, Richard A %A Hu, Yao %A Huo, Shaofeng %A Lohman, Kurt K %A Zhang, Weihua %A Cook, James P %A Prins, Bram Peter %A Flannick, Jason %A Grarup, Niels %A Trubetskoy, Vassily Vladimirovich %A Kravic, Jasmina %A Kim, Young Jin %A Rybin, Denis V %A Yaghootkar, Hanieh %A Müller-Nurasyid, Martina %A Meidtner, Karina %A Li-Gao, Ruifang %A Varga, Tibor V %A Marten, Jonathan %A Li, Jin %A Smith, Albert Vernon %A An, Ping %A Ligthart, Symen %A Gustafsson, Stefan %A Malerba, Giovanni %A Demirkan, Ayse %A Tajes, Juan Fernandez %A Steinthorsdottir, Valgerdur %A Wuttke, Matthias %A Lecoeur, Cécile %A Preuss, Michael %A Bielak, Lawrence F %A Graff, Marielisa %A Highland, Heather M %A Justice, Anne E %A Liu, Dajiang J %A Marouli, Eirini %A Peloso, Gina Marie %A Warren, Helen R %A Afaq, Saima %A Afzal, Shoaib %A Ahlqvist, Emma %A Almgren, Peter %A Amin, Najaf %A Bang, Lia B %A Bertoni, Alain G %A Bombieri, Cristina %A Bork-Jensen, Jette %A Brandslund, Ivan %A Brody, Jennifer A %A Burtt, Noël P %A Canouil, Mickaël %A Chen, Yii-Der Ida %A Cho, Yoon Shin %A Christensen, Cramer %A Eastwood, Sophie V %A Eckardt, Kai-Uwe %A Fischer, Krista %A Gambaro, Giovanni %A Giedraitis, Vilmantas %A Grove, Megan L %A de Haan, Hugoline G %A Hackinger, Sophie %A Hai, Yang %A Han, Sohee %A Tybjærg-Hansen, Anne %A Hivert, Marie-France %A Isomaa, Bo %A Jäger, Susanne %A Jørgensen, Marit E %A Jørgensen, Torben %A Käräjämäki, Annemari %A Kim, Bong-Jo %A Kim, Sung Soo %A Koistinen, Heikki A %A Kovacs, Peter %A Kriebel, Jennifer %A Kronenberg, Florian %A Läll, Kristi %A Lange, Leslie A %A Lee, Jung-Jin %A Lehne, Benjamin %A Li, Huaixing %A Lin, Keng-Hung %A Linneberg, Allan %A Liu, Ching-Ti %A Liu, Jun %A Loh, Marie %A Mägi, Reedik %A Mamakou, Vasiliki %A McKean-Cowdin, Roberta %A Nadkarni, Girish %A Neville, Matt %A Nielsen, Sune F %A Ntalla, Ioanna %A Peyser, Patricia A %A Rathmann, Wolfgang %A Rice, Kenneth %A Rich, Stephen S %A Rode, Line %A Rolandsson, Olov %A Schönherr, Sebastian %A Selvin, Elizabeth %A Small, Kerrin S %A Stančáková, Alena %A Surendran, Praveen %A Taylor, Kent D %A Teslovich, Tanya M %A Thorand, Barbara %A Thorleifsson, Gudmar %A Tin, Adrienne %A Tonjes, Anke %A Varbo, Anette %A Witte, Daniel R %A Wood, Andrew R %A Yajnik, Pranav %A Yao, Jie %A Yengo, Loic %A Young, Robin %A Amouyel, Philippe %A Boeing, Heiner %A Boerwinkle, Eric %A Bottinger, Erwin P %A Chowdhury, Rajiv %A Collins, Francis S %A Dedoussis, George %A Dehghan, Abbas %A Deloukas, Panos %A Ferrario, Marco M %A Ferrieres, Jean %A Florez, Jose C %A Frossard, Philippe %A Gudnason, Vilmundur %A Harris, Tamara B %A Heckbert, Susan R %A Howson, Joanna M M %A Ingelsson, Martin %A Kathiresan, Sekar %A Kee, Frank %A Kuusisto, Johanna %A Langenberg, Claudia %A Launer, Lenore J %A Lindgren, Cecilia M %A Männistö, Satu %A Meitinger, Thomas %A Melander, Olle %A Mohlke, Karen L %A Moitry, Marie %A Morris, Andrew D %A Murray, Alison D %A de Mutsert, Renée %A Orho-Melander, Marju %A Owen, Katharine R %A Perola, Markus %A Peters, Annette %A Province, Michael A %A Rasheed, Asif %A Ridker, Paul M %A Rivadineira, Fernando %A Rosendaal, Frits R %A Rosengren, Anders H %A Salomaa, Veikko %A Sheu, Wayne H-H %A Sladek, Rob %A Smith, Blair H %A Strauch, Konstantin %A Uitterlinden, André G %A Varma, Rohit %A Willer, Cristen J %A Blüher, Matthias %A Butterworth, Adam S %A Chambers, John Campbell %A Chasman, Daniel I %A Danesh, John %A van Duijn, Cornelia %A Dupuis, Josée %A Franco, Oscar H %A Franks, Paul W %A Froguel, Philippe %A Grallert, Harald %A Groop, Leif %A Han, Bok-Ghee %A Hansen, Torben %A Hattersley, Andrew T %A Hayward, Caroline %A Ingelsson, Erik %A Kardia, Sharon L R %A Karpe, Fredrik %A Kooner, Jaspal Singh %A Köttgen, Anna %A Kuulasmaa, Kari %A Laakso, Markku %A Lin, Xu %A Lind, Lars %A Liu, Yongmei %A Loos, Ruth J F %A Marchini, Jonathan %A Metspalu, Andres %A Mook-Kanamori, Dennis %A Nordestgaard, Børge G %A Palmer, Colin N A %A Pankow, James S %A Pedersen, Oluf %A Psaty, Bruce M %A Rauramaa, Rainer %A Sattar, Naveed %A Schulze, Matthias B %A Soranzo, Nicole %A Spector, Timothy D %A Stefansson, Kari %A Stumvoll, Michael %A Thorsteinsdottir, Unnur %A Tuomi, Tiinamaija %A Tuomilehto, Jaakko %A Wareham, Nicholas J %A Wilson, James G %A Zeggini, Eleftheria %A Scott, Robert A %A Barroso, Inês %A Frayling, Timothy M %A Goodarzi, Mark O %A Meigs, James B %A Boehnke, Michael %A Saleheen, Danish %A Morris, Andrew P %A Rotter, Jerome I %A McCarthy, Mark I %K Alleles %K Chromosome Mapping %K Diabetes Mellitus, Type 2 %K Exome Sequencing %K Female %K Genetic Predisposition to Disease %K Genetic Variation %K Genome-Wide Association Study %K Humans %K Male %K White People %X

We aggregated coding variant data for 81,412 type 2 diabetes cases and 370,832 controls of diverse ancestry, identifying 40 coding variant association signals (P < 2.2 × 10); of these, 16 map outside known risk-associated loci. We make two important observations. First, only five of these signals are driven by low-frequency variants: even for these, effect sizes are modest (odds ratio ≤1.29). Second, when we used large-scale genome-wide association data to fine-map the associated variants in their regional context, accounting for the global enrichment of complex trait associations in coding sequence, compelling evidence for coding variant causality was obtained for only 16 signals. At 13 others, the associated coding variants clearly represent 'false leads' with potential to generate erroneous mechanistic inference. Coding variant associations offer a direct route to biological insight for complex diseases and identification of validated therapeutic targets; however, appropriate mechanistic inference requires careful specification of their causal contribution to disease predisposition.

%B Nat Genet %V 50 %P 559-571 %8 2018 Apr %G eng %N 4 %1 https://www.ncbi.nlm.nih.gov/pubmed/29632382?dopt=Abstract %R 10.1038/s41588-018-0084-1 %0 Journal Article %J Am J Hum Genet %D 2017 %T DNA Methylation Analysis Identifies Loci for Blood Pressure Regulation. %A Richard, Melissa A %A Huan, Tianxiao %A Ligthart, Symen %A Gondalia, Rahul %A Jhun, Min A %A Brody, Jennifer A %A Irvin, Marguerite R %A Marioni, Riccardo %A Shen, Jincheng %A Tsai, Pei-Chien %A Montasser, May E %A Jia, Yucheng %A Syme, Catriona %A Salfati, Elias L %A Boerwinkle, Eric %A Guan, Weihua %A Mosley, Thomas H %A Bressler, Jan %A Morrison, Alanna C %A Liu, Chunyu %A Mendelson, Michael M %A Uitterlinden, André G %A van Meurs, Joyce B %A Franco, Oscar H %A Zhang, Guosheng %A Li, Yun %A Stewart, James D %A Bis, Joshua C %A Psaty, Bruce M %A Chen, Yii-Der Ida %A Kardia, Sharon L R %A Zhao, Wei %A Turner, Stephen T %A Absher, Devin %A Aslibekyan, Stella %A Starr, John M %A McRae, Allan F %A Hou, Lifang %A Just, Allan C %A Schwartz, Joel D %A Vokonas, Pantel S %A Menni, Cristina %A Spector, Tim D %A Shuldiner, Alan %A Damcott, Coleen M %A Rotter, Jerome I %A Palmas, Walter %A Liu, Yongmei %A Paus, Tomáš %A Horvath, Steve %A O'Connell, Jeffrey R %A Guo, Xiuqing %A Pausova, Zdenka %A Assimes, Themistocles L %A Sotoodehnia, Nona %A Smith, Jennifer A %A Arnett, Donna K %A Deary, Ian J %A Baccarelli, Andrea A %A Bell, Jordana T %A Whitsel, Eric %A Dehghan, Abbas %A Levy, Daniel %A Fornage, Myriam %K Aged %K Blood Pressure %K CpG Islands %K Cross-Sectional Studies %K DNA Methylation %K Epigenesis, Genetic %K Genetic Variation %K Genome-Wide Association Study %K Humans %K Mendelian Randomization Analysis %K Middle Aged %K Nerve Tissue Proteins %K Quantitative Trait Loci %K Tetraspanins %X

Genome-wide association studies have identified hundreds of genetic variants associated with blood pressure (BP), but sequence variation accounts for a small fraction of the phenotypic variance. Epigenetic changes may alter the expression of genes involved in BP regulation and explain part of the missing heritability. We therefore conducted a two-stage meta-analysis of the cross-sectional associations of systolic and diastolic BP with blood-derived genome-wide DNA methylation measured on the Infinium HumanMethylation450 BeadChip in 17,010 individuals of European, African American, and Hispanic ancestry. Of 31 discovery-stage cytosine-phosphate-guanine (CpG) dinucleotides, 13 replicated after Bonferroni correction (discovery: N = 9,828, p < 1.0 × 10; replication: N = 7,182, p < 1.6 × 10). The replicated methylation sites are heritable (h > 30%) and independent of known BP genetic variants, explaining an additional 1.4% and 2.0% of the interindividual variation in systolic and diastolic BP, respectively. Bidirectional Mendelian randomization among up to 4,513 individuals of European ancestry from 4 cohorts suggested that methylation at cg08035323 (TAF1B-YWHAQ) influences BP, while BP influences methylation at cg00533891 (ZMIZ1), cg00574958 (CPT1A), and cg02711608 (SLC1A5). Gene expression analyses further identified six genes (TSPAN2, SLC7A11, UNC93B1, CPT1A, PTMS, and LPCAT3) with evidence of triangular associations between methylation, gene expression, and BP. Additional integrative Mendelian randomization analyses of gene expression and DNA methylation suggested that the expression of TSPAN2 is a putative mediator of association between DNA methylation at cg23999170 and BP. These findings suggest that heritable DNA methylation plays a role in regulating BP independently of previously known genetic variants.

%B Am J Hum Genet %V 101 %P 888-902 %8 2017 Dec 07 %G eng %N 6 %1 https://www.ncbi.nlm.nih.gov/pubmed/29198723?dopt=Abstract %R 10.1016/j.ajhg.2017.09.028 %0 Journal Article %J Nat Genet %D 2017 %T Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation. %A Christophersen, Ingrid E %A Rienstra, Michiel %A Roselli, Carolina %A Yin, Xiaoyan %A Geelhoed, Bastiaan %A Barnard, John %A Lin, Honghuang %A Arking, Dan E %A Smith, Albert V %A Albert, Christine M %A Chaffin, Mark %A Tucker, Nathan R %A Li, Molong %A Klarin, Derek %A Bihlmeyer, Nathan A %A Low, Siew-Kee %A Weeke, Peter E %A Müller-Nurasyid, Martina %A Smith, J Gustav %A Brody, Jennifer A %A Niemeijer, Maartje N %A Dörr, Marcus %A Trompet, Stella %A Huffman, Jennifer %A Gustafsson, Stefan %A Schurmann, Claudia %A Kleber, Marcus E %A Lyytikäinen, Leo-Pekka %A Seppälä, Ilkka %A Malik, Rainer %A Horimoto, Andrea R V R %A Perez, Marco %A Sinisalo, Juha %A Aeschbacher, Stefanie %A Thériault, Sébastien %A Yao, Jie %A Radmanesh, Farid %A Weiss, Stefan %A Teumer, Alexander %A Choi, Seung Hoan %A Weng, Lu-Chen %A Clauss, Sebastian %A Deo, Rajat %A Rader, Daniel J %A Shah, Svati H %A Sun, Albert %A Hopewell, Jemma C %A Debette, Stephanie %A Chauhan, Ganesh %A Yang, Qiong %A Worrall, Bradford B %A Paré, Guillaume %A Kamatani, Yoichiro %A Hagemeijer, Yanick P %A Verweij, Niek %A Siland, Joylene E %A Kubo, Michiaki %A Smith, Jonathan D %A Van Wagoner, David R %A Bis, Joshua C %A Perz, Siegfried %A Psaty, Bruce M %A Ridker, Paul M %A Magnani, Jared W %A Harris, Tamara B %A Launer, Lenore J %A Shoemaker, M Benjamin %A Padmanabhan, Sandosh %A Haessler, Jeffrey %A Bartz, Traci M %A Waldenberger, Melanie %A Lichtner, Peter %A Arendt, Marina %A Krieger, Jose E %A Kähönen, Mika %A Risch, Lorenz %A Mansur, Alfredo J %A Peters, Annette %A Smith, Blair H %A Lind, Lars %A Scott, Stuart A %A Lu, Yingchang %A Bottinger, Erwin B %A Hernesniemi, Jussi %A Lindgren, Cecilia M %A Wong, Jorge A %A Huang, Jie %A Eskola, Markku %A Morris, Andrew P %A Ford, Ian %A Reiner, Alex P %A Delgado, Graciela %A Chen, Lin Y %A Chen, Yii-Der Ida %A Sandhu, Roopinder K %A Li, Man %A Boerwinkle, Eric %A Eisele, Lewin %A Lannfelt, Lars %A Rost, Natalia %A Anderson, Christopher D %A Taylor, Kent D %A Campbell, Archie %A Magnusson, Patrik K %A Porteous, David %A Hocking, Lynne J %A Vlachopoulou, Efthymia %A Pedersen, Nancy L %A Nikus, Kjell %A Orho-Melander, Marju %A Hamsten, Anders %A Heeringa, Jan %A Denny, Joshua C %A Kriebel, Jennifer %A Darbar, Dawood %A Newton-Cheh, Christopher %A Shaffer, Christian %A Macfarlane, Peter W %A Heilmann-Heimbach, Stefanie %A Almgren, Peter %A Huang, Paul L %A Sotoodehnia, Nona %A Soliman, Elsayed Z %A Uitterlinden, André G %A Hofman, Albert %A Franco, Oscar H %A Völker, Uwe %A Jöckel, Karl-Heinz %A Sinner, Moritz F %A Lin, Henry J %A Guo, Xiuqing %A Dichgans, Martin %A Ingelsson, Erik %A Kooperberg, Charles %A Melander, Olle %A Loos, Ruth J F %A Laurikka, Jari %A Conen, David %A Rosand, Jonathan %A van der Harst, Pim %A Lokki, Marja-Liisa %A Kathiresan, Sekar %A Pereira, Alexandre %A Jukema, J Wouter %A Hayward, Caroline %A Rotter, Jerome I %A Marz, Winfried %A Lehtimäki, Terho %A Stricker, Bruno H %A Chung, Mina K %A Felix, Stephan B %A Gudnason, Vilmundur %A Alonso, Alvaro %A Roden, Dan M %A Kääb, Stefan %A Chasman, Daniel I %A Heckbert, Susan R %A Benjamin, Emelia J %A Tanaka, Toshihiro %A Lunetta, Kathryn L %A Lubitz, Steven A %A Ellinor, Patrick T %K Atrial Fibrillation %K Black or African American %K Genetic Loci %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Humans %K Quantitative Trait Loci %K White People %X

Atrial fibrillation affects more than 33 million people worldwide and increases the risk of stroke, heart failure, and death. Fourteen genetic loci have been associated with atrial fibrillation in European and Asian ancestry groups. To further define the genetic basis of atrial fibrillation, we performed large-scale, trans-ancestry meta-analyses of common and rare variant association studies. The genome-wide association studies (GWAS) included 17,931 individuals with atrial fibrillation and 115,142 referents; the exome-wide association studies (ExWAS) and rare variant association studies (RVAS) involved 22,346 cases and 132,086 referents. We identified 12 new genetic loci that exceeded genome-wide significance, implicating genes involved in cardiac electrical and structural remodeling. Our results nearly double the number of known genetic loci for atrial fibrillation, provide insights into the molecular basis of atrial fibrillation, and may facilitate the identification of new potential targets for drug discovery.

%B Nat Genet %V 49 %P 946-952 %8 2017 Jun %G eng %N 6 %1 https://www.ncbi.nlm.nih.gov/pubmed/28416818?dopt=Abstract %R 10.1038/ng.3843 %0 Journal Article %J PLoS Genet %D 2016 %T Discovery of Genetic Variation on Chromosome 5q22 Associated with Mortality in Heart Failure. %A Smith, J Gustav %A Felix, Janine F %A Morrison, Alanna C %A Kalogeropoulos, Andreas %A Trompet, Stella %A Wilk, Jemma B %A Gidlöf, Olof %A Wang, Xinchen %A Morley, Michael %A Mendelson, Michael %A Joehanes, Roby %A Ligthart, Symen %A Shan, Xiaoyin %A Bis, Joshua C %A Wang, Ying A %A Sjögren, Marketa %A Ngwa, Julius %A Brandimarto, Jeffrey %A Stott, David J %A Aguilar, David %A Rice, Kenneth M %A Sesso, Howard D %A Demissie, Serkalem %A Buckley, Brendan M %A Taylor, Kent D %A Ford, Ian %A Yao, Chen %A Liu, Chunyu %A Sotoodehnia, Nona %A van der Harst, Pim %A Stricker, Bruno H Ch %A Kritchevsky, Stephen B %A Liu, Yongmei %A Gaziano, J Michael %A Hofman, Albert %A Moravec, Christine S %A Uitterlinden, André G %A Kellis, Manolis %A van Meurs, Joyce B %A Margulies, Kenneth B %A Dehghan, Abbas %A Levy, Daniel %A Olde, Björn %A Psaty, Bruce M %A Cupples, L Adrienne %A Jukema, J Wouter %A Djousse, Luc %A Franco, Oscar H %A Boerwinkle, Eric %A Boyer, Laurie A %A Newton-Cheh, Christopher %A Butler, Javed %A Vasan, Ramachandran S %A Cappola, Thomas P %A Smith, Nicholas L %K Alleles %K Basic Helix-Loop-Helix Transcription Factors %K Black or African American %K Chromosomes, Human, Pair 5 %K DNA Methylation %K Female %K Gene Expression Regulation %K Gene Knockdown Techniques %K Genetic Predisposition to Disease %K Genetic Variation %K Genome-Wide Association Study %K Genotype %K Heart Failure %K HEK293 Cells %K Humans %K Male %K Middle Aged %K Polymorphism, Single Nucleotide %K Receptors, Cytokine %X

Failure of the human heart to maintain sufficient output of blood for the demands of the body, heart failure, is a common condition with high mortality even with modern therapeutic alternatives. To identify molecular determinants of mortality in patients with new-onset heart failure, we performed a meta-analysis of genome-wide association studies and follow-up genotyping in independent populations. We identified and replicated an association for a genetic variant on chromosome 5q22 with 36% increased risk of death in subjects with heart failure (rs9885413, P = 2.7x10-9). We provide evidence from reporter gene assays, computational predictions and epigenomic marks that this polymorphism increases activity of an enhancer region active in multiple human tissues. The polymorphism was further reproducibly associated with a DNA methylation signature in whole blood (P = 4.5x10-40) that also associated with allergic sensitization and expression in blood of the cytokine TSLP (P = 1.1x10-4). Knockdown of the transcription factor predicted to bind the enhancer region (NHLH1) in a human cell line (HEK293) expressing NHLH1 resulted in lower TSLP expression. In addition, we observed evidence of recent positive selection acting on the risk allele in populations of African descent. Our findings provide novel genetic leads to factors that influence mortality in patients with heart failure.

%B PLoS Genet %V 12 %P e1006034 %8 2016 May %G eng %N 5 %1 https://www.ncbi.nlm.nih.gov/pubmed/27149122?dopt=Abstract %R 10.1371/journal.pgen.1006034 %0 Journal Article %J Aging (Albany NY) %D 2016 %T DNA methylation-based measures of biological age: meta-analysis predicting time to death. %A Chen, Brian H %A Marioni, Riccardo E %A Colicino, Elena %A Peters, Marjolein J %A Ward-Caviness, Cavin K %A Tsai, Pei-Chien %A Roetker, Nicholas S %A Just, Allan C %A Demerath, Ellen W %A Guan, Weihua %A Bressler, Jan %A Fornage, Myriam %A Studenski, Stephanie %A Vandiver, Amy R %A Moore, Ann Zenobia %A Tanaka, Toshiko %A Kiel, Douglas P %A Liang, Liming %A Vokonas, Pantel %A Schwartz, Joel %A Lunetta, Kathryn L %A Murabito, Joanne M %A Bandinelli, Stefania %A Hernandez, Dena G %A Melzer, David %A Nalls, Michael %A Pilling, Luke C %A Price, Timothy R %A Singleton, Andrew B %A Gieger, Christian %A Holle, Rolf %A Kretschmer, Anja %A Kronenberg, Florian %A Kunze, Sonja %A Linseisen, Jakob %A Meisinger, Christine %A Rathmann, Wolfgang %A Waldenberger, Melanie %A Visscher, Peter M %A Shah, Sonia %A Wray, Naomi R %A McRae, Allan F %A Franco, Oscar H %A Hofman, Albert %A Uitterlinden, André G %A Absher, Devin %A Assimes, Themistocles %A Levine, Morgan E %A Lu, Ake T %A Tsao, Philip S %A Hou, Lifang %A Manson, JoAnn E %A Carty, Cara L %A LaCroix, Andrea Z %A Reiner, Alexander P %A Spector, Tim D %A Feinberg, Andrew P %A Levy, Daniel %A Baccarelli, Andrea %A van Meurs, Joyce %A Bell, Jordana T %A Peters, Annette %A Deary, Ian J %A Pankow, James S %A Ferrucci, Luigi %A Horvath, Steve %K Aging %K DNA Methylation %K Epigenesis, Genetic %K Female %K Humans %K Logistic Models %K Male %K Mortality %K Racial Groups %K Risk Factors %K Survival Analysis %K T-Lymphocyte Subsets %X

Estimates of biological age based on DNA methylation patterns, often referred to as "epigenetic age", "DNAm age", have been shown to be robust biomarkers of age in humans. We previously demonstrated that independent of chronological age, epigenetic age assessed in blood predicted all-cause mortality in four human cohorts. Here, we expanded our original observation to 13 different cohorts for a total sample size of 13,089 individuals, including three racial/ethnic groups. In addition, we examined whether incorporating information on blood cell composition into the epigenetic age metrics improves their predictive power for mortality. All considered measures of epigenetic age acceleration were predictive of mortality (p≤8.2x10, independent of chronological age, even after adjusting for additional risk factors (p<5.4x10, and within the racial/ethnic groups that we examined (non-Hispanic whites, Hispanics, African Americans). Epigenetic age estimates that incorporated information on blood cell composition led to the smallest p-values for time to death (p=7.5x10). Overall, this study a) strengthens the evidence that epigenetic age predicts all-cause mortality above and beyond chronological age and traditional risk factors, and b) demonstrates that epigenetic age estimates that incorporate information on blood cell counts lead to highly significant associations with all-cause mortality.

%B Aging (Albany NY) %V 8 %P 1844-1865 %8 2016 Sep 28 %G eng %N 9 %1 https://www.ncbi.nlm.nih.gov/pubmed/27690265?dopt=Abstract %R 10.18632/aging.101020 %0 Journal Article %J Genet Epidemiol %D 2016 %T An Empirical Comparison of Joint and Stratified Frameworks for Studying G × E Interactions: Systolic Blood Pressure and Smoking in the CHARGE Gene-Lifestyle Interactions Working Group. %A Sung, Yun Ju %A Winkler, Thomas W %A Manning, Alisa K %A Aschard, Hugues %A Gudnason, Vilmundur %A Harris, Tamara B %A Smith, Albert V %A Boerwinkle, Eric %A Brown, Michael R %A Morrison, Alanna C %A Fornage, Myriam %A Lin, Li-An %A Richard, Melissa %A Bartz, Traci M %A Psaty, Bruce M %A Hayward, Caroline %A Polasek, Ozren %A Marten, Jonathan %A Rudan, Igor %A Feitosa, Mary F %A Kraja, Aldi T %A Province, Michael A %A Deng, Xuan %A Fisher, Virginia A %A Zhou, Yanhua %A Bielak, Lawrence F %A Smith, Jennifer %A Huffman, Jennifer E %A Padmanabhan, Sandosh %A Smith, Blair H %A Ding, Jingzhong %A Liu, Yongmei %A Lohman, Kurt %A Bouchard, Claude %A Rankinen, Tuomo %A Rice, Treva K %A Arnett, Donna %A Schwander, Karen %A Guo, Xiuqing %A Palmas, Walter %A Rotter, Jerome I %A Alfred, Tamuno %A Bottinger, Erwin P %A Loos, Ruth J F %A Amin, Najaf %A Franco, Oscar H %A van Duijn, Cornelia M %A Vojinovic, Dina %A Chasman, Daniel I %A Ridker, Paul M %A Rose, Lynda M %A Kardia, Sharon %A Zhu, Xiaofeng %A Rice, Kenneth %A Borecki, Ingrid B %A Rao, Dabeeru C %A Gauderman, W James %A Cupples, L Adrienne %K Blood Pressure %K Cohort Studies %K Databases, Factual %K Family %K Gene Frequency %K Gene-Environment Interaction %K Genome-Wide Association Study %K Genotype %K Humans %K Phenotype %K Smoking %X

Studying gene-environment (G × E) interactions is important, as they extend our knowledge of the genetic architecture of complex traits and may help to identify novel variants not detected via analysis of main effects alone. The main statistical framework for studying G × E interactions uses a single regression model that includes both the genetic main and G × E interaction effects (the "joint" framework). The alternative "stratified" framework combines results from genetic main-effect analyses carried out separately within the exposed and unexposed groups. Although there have been several investigations using theory and simulation, an empirical comparison of the two frameworks is lacking. Here, we compare the two frameworks using results from genome-wide association studies of systolic blood pressure for 3.2 million low frequency and 6.5 million common variants across 20 cohorts of European ancestry, comprising 79,731 individuals. Our cohorts have sample sizes ranging from 456 to 22,983 and include both family-based and population-based samples. In cohort-specific analyses, the two frameworks provided similar inference for population-based cohorts. The agreement was reduced for family-based cohorts. In meta-analyses, agreement between the two frameworks was less than that observed in cohort-specific analyses, despite the increased sample size. In meta-analyses, agreement depended on (1) the minor allele frequency, (2) inclusion of family-based cohorts in meta-analysis, and (3) filtering scheme. The stratified framework appears to approximate the joint framework well only for common variants in population-based cohorts. We conclude that the joint framework is the preferred approach and should be used to control false positives when dealing with low-frequency variants and/or family-based cohorts.

%B Genet Epidemiol %V 40 %P 404-15 %8 2016 Jul %G eng %N 5 %1 https://www.ncbi.nlm.nih.gov/pubmed/27230302?dopt=Abstract %R 10.1002/gepi.21978 %0 Journal Article %J J Med Genet %D 2016 %T Meta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels. %A van Leeuwen, Elisabeth M %A Sabo, Aniko %A Bis, Joshua C %A Huffman, Jennifer E %A Manichaikul, Ani %A Smith, Albert V %A Feitosa, Mary F %A Demissie, Serkalem %A Joshi, Peter K %A Duan, Qing %A Marten, Jonathan %A van Klinken, Jan B %A Surakka, Ida %A Nolte, Ilja M %A Zhang, Weihua %A Mbarek, Hamdi %A Li-Gao, Ruifang %A Trompet, Stella %A Verweij, Niek %A Evangelou, Evangelos %A Lyytikäinen, Leo-Pekka %A Tayo, Bamidele O %A Deelen, Joris %A van der Most, Peter J %A van der Laan, Sander W %A Arking, Dan E %A Morrison, Alanna %A Dehghan, Abbas %A Franco, Oscar H %A Hofman, Albert %A Rivadeneira, Fernando %A Sijbrands, Eric J %A Uitterlinden, André G %A Mychaleckyj, Josyf C %A Campbell, Archie %A Hocking, Lynne J %A Padmanabhan, Sandosh %A Brody, Jennifer A %A Rice, Kenneth M %A White, Charles C %A Harris, Tamara %A Isaacs, Aaron %A Campbell, Harry %A Lange, Leslie A %A Rudan, Igor %A Kolcic, Ivana %A Navarro, Pau %A Zemunik, Tatijana %A Salomaa, Veikko %A Kooner, Angad S %A Kooner, Jaspal S %A Lehne, Benjamin %A Scott, William R %A Tan, Sian-Tsung %A de Geus, Eco J %A Milaneschi, Yuri %A Penninx, Brenda W J H %A Willemsen, Gonneke %A de Mutsert, Renée %A Ford, Ian %A Gansevoort, Ron T %A Segura-Lepe, Marcelo P %A Raitakari, Olli T %A Viikari, Jorma S %A Nikus, Kjell %A Forrester, Terrence %A McKenzie, Colin A %A de Craen, Anton J M %A de Ruijter, Hester M %A Pasterkamp, Gerard %A Snieder, Harold %A Oldehinkel, Albertine J %A Slagboom, P Eline %A Cooper, Richard S %A Kähönen, Mika %A Lehtimäki, Terho %A Elliott, Paul %A van der Harst, Pim %A Jukema, J Wouter %A Mook-Kanamori, Dennis O %A Boomsma, Dorret I %A Chambers, John C %A Swertz, Morris %A Ripatti, Samuli %A Willems van Dijk, Ko %A Vitart, Veronique %A Polasek, Ozren %A Hayward, Caroline %A Wilson, James G %A Wilson, James F %A Gudnason, Vilmundur %A Rich, Stephen S %A Psaty, Bruce M %A Borecki, Ingrid B %A Boerwinkle, Eric %A Rotter, Jerome I %A Cupples, L Adrienne %A van Duijn, Cornelia M %K Angiopoietin-Like Protein 4 %K Angiopoietins %K Exons %K Fasting %K Female %K Genome, Human %K Genome-Wide Association Study %K Genotype %K Humans %K Male %K Middle Aged %K Polymorphism, Single Nucleotide %X

BACKGROUND: So far, more than 170 loci have been associated with circulating lipid levels through genome-wide association studies (GWAS). These associations are largely driven by common variants, their function is often not known, and many are likely to be markers for the causal variants. In this study we aimed to identify more new rare and low-frequency functional variants associated with circulating lipid levels.

METHODS: We used the 1000 Genomes Project as a reference panel for the imputations of GWAS data from ∼60 000 individuals in the discovery stage and ∼90 000 samples in the replication stage.

RESULTS: Our study resulted in the identification of five new associations with circulating lipid levels at four loci. All four loci are within genes that can be linked biologically to lipid metabolism. One of the variants, rs116843064, is a damaging missense variant within the ANGPTL4 gene.

CONCLUSIONS: This study illustrates that GWAS with high-scale imputation may still help us unravel the biological mechanism behind circulating lipid levels.

%B J Med Genet %V 53 %P 441-9 %8 2016 Jul %G eng %N 7 %1 https://www.ncbi.nlm.nih.gov/pubmed/27036123?dopt=Abstract %R 10.1136/jmedgenet-2015-103439 %0 Journal Article %J Am J Hum Genet %D 2016 %T Platelet-Related Variants Identified by Exomechip Meta-analysis in 157,293 Individuals. %A Eicher, John D %A Chami, Nathalie %A Kacprowski, Tim %A Nomura, Akihiro %A Chen, Ming-Huei %A Yanek, Lisa R %A Tajuddin, Salman M %A Schick, Ursula M %A Slater, Andrew J %A Pankratz, Nathan %A Polfus, Linda %A Schurmann, Claudia %A Giri, Ayush %A Brody, Jennifer A %A Lange, Leslie A %A Manichaikul, Ani %A Hill, W David %A Pazoki, Raha %A Elliot, Paul %A Evangelou, Evangelos %A Tzoulaki, Ioanna %A Gao, He %A Vergnaud, Anne-Claire %A Mathias, Rasika A %A Becker, Diane M %A Becker, Lewis C %A Burt, Amber %A Crosslin, David R %A Lyytikäinen, Leo-Pekka %A Nikus, Kjell %A Hernesniemi, Jussi %A Kähönen, Mika %A Raitoharju, Emma %A Mononen, Nina %A Raitakari, Olli T %A Lehtimäki, Terho %A Cushman, Mary %A Zakai, Neil A %A Nickerson, Deborah A %A Raffield, Laura M %A Quarells, Rakale %A Willer, Cristen J %A Peloso, Gina M %A Abecasis, Gonçalo R %A Liu, Dajiang J %A Deloukas, Panos %A Samani, Nilesh J %A Schunkert, Heribert %A Erdmann, Jeanette %A Fornage, Myriam %A Richard, Melissa %A Tardif, Jean-Claude %A Rioux, John D %A Dube, Marie-Pierre %A de Denus, Simon %A Lu, Yingchang %A Bottinger, Erwin P %A Loos, Ruth J F %A Smith, Albert Vernon %A Harris, Tamara B %A Launer, Lenore J %A Gudnason, Vilmundur %A Velez Edwards, Digna R %A Torstenson, Eric S %A Liu, Yongmei %A Tracy, Russell P %A Rotter, Jerome I %A Rich, Stephen S %A Highland, Heather M %A Boerwinkle, Eric %A Li, Jin %A Lange, Ethan %A Wilson, James G %A Mihailov, Evelin %A Mägi, Reedik %A Hirschhorn, Joel %A Metspalu, Andres %A Esko, Tõnu %A Vacchi-Suzzi, Caterina %A Nalls, Mike A %A Zonderman, Alan B %A Evans, Michele K %A Engström, Gunnar %A Orho-Melander, Marju %A Melander, Olle %A O'Donoghue, Michelle L %A Waterworth, Dawn M %A Wallentin, Lars %A White, Harvey D %A Floyd, James S %A Bartz, Traci M %A Rice, Kenneth M %A Psaty, Bruce M %A Starr, J M %A Liewald, David C M %A Hayward, Caroline %A Deary, Ian J %A Greinacher, Andreas %A Völker, Uwe %A Thiele, Thomas %A Völzke, Henry %A van Rooij, Frank J A %A Uitterlinden, André G %A Franco, Oscar H %A Dehghan, Abbas %A Edwards, Todd L %A Ganesh, Santhi K %A Kathiresan, Sekar %A Faraday, Nauder %A Auer, Paul L %A Reiner, Alex P %A Lettre, Guillaume %A Johnson, Andrew D %K Blood Platelets %K Exome %K Female %K Genetic Variation %K Genome-Wide Association Study %K Humans %K Male %K Mean Platelet Volume %K Platelet Count %X

Platelet production, maintenance, and clearance are tightly controlled processes indicative of platelets' important roles in hemostasis and thrombosis. Platelets are common targets for primary and secondary prevention of several conditions. They are monitored clinically by complete blood counts, specifically with measurements of platelet count (PLT) and mean platelet volume (MPV). Identifying genetic effects on PLT and MPV can provide mechanistic insights into platelet biology and their role in disease. Therefore, we formed the Blood Cell Consortium (BCX) to perform a large-scale meta-analysis of Exomechip association results for PLT and MPV in 157,293 and 57,617 individuals, respectively. Using the low-frequency/rare coding variant-enriched Exomechip genotyping array, we sought to identify genetic variants associated with PLT and MPV. In addition to confirming 47 known PLT and 20 known MPV associations, we identified 32 PLT and 18 MPV associations not previously observed in the literature across the allele frequency spectrum, including rare large effect (FCER1A), low-frequency (IQGAP2, MAP1A, LY75), and common (ZMIZ2, SMG6, PEAR1, ARFGAP3/PACSIN2) variants. Several variants associated with PLT/MPV (PEAR1, MRVI1, PTGES3) were also associated with platelet reactivity. In concurrent BCX analyses, there was overlap of platelet-associated variants with red (MAP1A, TMPRSS6, ZMIZ2) and white (PEAR1, ZMIZ2, LY75) blood cell traits, suggesting common regulatory pathways with shared genetic architecture among these hematopoietic lineages. Our large-scale Exomechip analyses identified previously undocumented associations with platelet traits and further indicate that several complex quantitative hematological, lipid, and cardiovascular traits share genetic factors.

%B Am J Hum Genet %V 99 %P 40-55 %8 2016 Jul 07 %G eng %N 1 %1 https://www.ncbi.nlm.nih.gov/pubmed/27346686?dopt=Abstract %R 10.1016/j.ajhg.2016.05.005 %0 Journal Article %J Circ Cardiovasc Genet %D 2016 %T Rare Exome Sequence Variants in CLCN6 Reduce Blood Pressure Levels and Hypertension Risk. %A Yu, Bing %A Pulit, Sara L %A Hwang, Shih-Jen %A Brody, Jennifer A %A Amin, Najaf %A Auer, Paul L %A Bis, Joshua C %A Boerwinkle, Eric %A Burke, Gregory L %A Chakravarti, Aravinda %A Correa, Adolfo %A Dreisbach, Albert W %A Franco, Oscar H %A Ehret, Georg B %A Franceschini, Nora %A Hofman, Albert %A Lin, Dan-Yu %A Metcalf, Ginger A %A Musani, Solomon K %A Muzny, Donna %A Palmas, Walter %A Raffel, Leslie %A Reiner, Alex %A Rice, Ken %A Rotter, Jerome I %A Veeraraghavan, Narayanan %A Fox, Ervin %A Guo, Xiuqing %A North, Kari E %A Gibbs, Richard A %A van Duijn, Cornelia M %A Psaty, Bruce M %A Levy, Daniel %A Newton-Cheh, Christopher %A Morrison, Alanna C %K Alleles %K Black People %K Blood Pressure %K Chloride Channels %K Exome %K Female %K Gene Frequency %K Humans %K Hypertension %K Male %K Risk Factors %K White People %X

BACKGROUND: Rare genetic variants influence blood pressure (BP).

METHODS AND RESULTS: Whole-exome sequencing was performed on DNA samples from 17 956 individuals of European ancestry and African ancestry (14 497, first-stage discovery and 3459, second-stage discovery) to examine the effect of rare variants on hypertension and 4 BP traits: systolic BP, diastolic BP, pulse pressure, and mean arterial pressure. Tests of ≈170 000 common variants (minor allele frequency, ≥1%; statistical significance, P≤2.9×10(-7)) and gene-based tests of rare variants (minor allele frequency, <1%; ≈17 000 genes; statistical significance, P≤1.5×10(-6)) were evaluated for each trait and ancestry, followed by multiethnic meta-analyses. In the first-stage discovery, rare coding variants (splicing, stop-gain, stop-loss, nonsynonymous variants, or indels) in CLCN6 were associated with lower diastolic BP (cumulative minor allele frequency, 1.3%; β=-3.20; P=4.1×10(-6)) and were independent of a nearby common variant (rs17367504) previously associated with BP. CLCN6 rare variants were also associated with lower systolic BP (β=-4.11; P=2.8×10(-4)), mean arterial pressure (β=-3.50; P=8.9×10(-6)), and reduced hypertension risk (odds ratio, 0.72; P=0.017). Meta-analysis of the 2-stage discovery samples showed that CLCN6 was associated with lower diastolic BP at exome-wide significance (cumulative minor allele frequency, 1.1%; β=-3.30; P=5.0×10(-7)).

CONCLUSIONS: These findings implicate the effect of rare coding variants in CLCN6 in BP variation and offer new insights into BP regulation.

%B Circ Cardiovasc Genet %V 9 %P 64-70 %8 2016 Feb %G eng %N 1 %1 https://www.ncbi.nlm.nih.gov/pubmed/26658788?dopt=Abstract %R 10.1161/CIRCGENETICS.115.001215 %0 Journal Article %J Am J Hum Genet %D 2016 %T Whole-Exome Sequencing Identifies Loci Associated with Blood Cell Traits and Reveals a Role for Alternative GFI1B Splice Variants in Human Hematopoiesis. %A Polfus, Linda M %A Khajuria, Rajiv K %A Schick, Ursula M %A Pankratz, Nathan %A Pazoki, Raha %A Brody, Jennifer A %A Chen, Ming-Huei %A Auer, Paul L %A Floyd, James S %A Huang, Jie %A Lange, Leslie %A van Rooij, Frank J A %A Gibbs, Richard A %A Metcalf, Ginger %A Muzny, Donna %A Veeraraghavan, Narayanan %A Walter, Klaudia %A Chen, Lu %A Yanek, Lisa %A Becker, Lewis C %A Peloso, Gina M %A Wakabayashi, Aoi %A Kals, Mart %A Metspalu, Andres %A Esko, Tõnu %A Fox, Keolu %A Wallace, Robert %A Franceschini, Nora %A Matijevic, Nena %A Rice, Kenneth M %A Bartz, Traci M %A Lyytikäinen, Leo-Pekka %A Kähönen, Mika %A Lehtimäki, Terho %A Raitakari, Olli T %A Li-Gao, Ruifang %A Mook-Kanamori, Dennis O %A Lettre, Guillaume %A van Duijn, Cornelia M %A Franco, Oscar H %A Rich, Stephen S %A Rivadeneira, Fernando %A Hofman, Albert %A Uitterlinden, André G %A Wilson, James G %A Psaty, Bruce M %A Soranzo, Nicole %A Dehghan, Abbas %A Boerwinkle, Eric %A Zhang, Xiaoling %A Johnson, Andrew D %A O'Donnell, Christopher J %A Johnsen, Jill M %A Reiner, Alexander P %A Ganesh, Santhi K %A Sankaran, Vijay G %K Alternative Splicing %K Blood Platelets %K CRISPR-Cas Systems %K DNA Mutational Analysis %K Exome %K Gene Editing %K Genetic Loci %K Hematopoiesis %K Hematopoietic Stem Cells %K Humans %K Megakaryocytes %K Platelet Count %K Proto-Oncogene Proteins %K Repressor Proteins %X

Circulating blood cell counts and indices are important indicators of hematopoietic function and a number of clinical parameters, such as blood oxygen-carrying capacity, inflammation, and hemostasis. By performing whole-exome sequence association analyses of hematologic quantitative traits in 15,459 community-dwelling individuals, followed by in silico replication in up to 52,024 independent samples, we identified two previously undescribed coding variants associated with lower platelet count: a common missense variant in CPS1 (rs1047891, MAF = 0.33, discovery + replication p = 6.38 × 10(-10)) and a rare synonymous variant in GFI1B (rs150813342, MAF = 0.009, discovery + replication p = 1.79 × 10(-27)). By performing CRISPR/Cas9 genome editing in hematopoietic cell lines and follow-up targeted knockdown experiments in primary human hematopoietic stem and progenitor cells, we demonstrate an alternative splicing mechanism by which the GFI1B rs150813342 variant suppresses formation of a GFI1B isoform that preferentially promotes megakaryocyte differentiation and platelet production. These results demonstrate how unbiased studies of natural variation in blood cell traits can provide insight into the regulation of human hematopoiesis.

%B Am J Hum Genet %V 99 %P 481-8 %8 2016 Aug 04 %G eng %N 2 %1 https://www.ncbi.nlm.nih.gov/pubmed/27486782?dopt=Abstract %R 10.1016/j.ajhg.2016.06.016 %0 Journal Article %J Circ Cardiovasc Genet %D 2015 %T Association of Rare Loss-Of-Function Alleles in HAL, Serum Histidine: Levels and Incident Coronary Heart Disease. %A Yu, Bing %A Li, Alexander H %A Muzny, Donna %A Veeraraghavan, Narayanan %A de Vries, Paul S %A Bis, Joshua C %A Musani, Solomon K %A Alexander, Danny %A Morrison, Alanna C %A Franco, Oscar H %A Uitterlinden, Andre %A Hofman, Albert %A Dehghan, Abbas %A Wilson, James G %A Psaty, Bruce M %A Gibbs, Richard %A Wei, Peng %A Boerwinkle, Eric %K Adult %K Alleles %K Black or African American %K Coronary Disease %K Female %K Histidine %K Histidine Ammonia-Lyase %K Humans %K Male %K Mutation %K White People %X

BACKGROUND: Histidine is a semiessential amino acid with antioxidant and anti-inflammatory properties. Few data are available on the associations between genetic variants, histidine levels, and incident coronary heart disease (CHD) in a population-based sample.

METHODS AND RESULTS: By conducting whole exome sequencing on 1152 African Americans in the Atherosclerosis Risk in Communities (ARIC) study and focusing on loss-of-function (LoF) variants, we identified 3 novel rare LoF variants in HAL, a gene that encodes histidine ammonia-lyase in the first step of histidine catabolism. These LoF variants had large effects on blood histidine levels (β=0.26; P=1.2×10(-13)). The positive association with histidine levels was replicated by genotyping an independent sample of 718 ARIC African Americans (minor allele frequency=1%; P=1.2×10(-4)). In addition, high blood histidine levels were associated with reduced risk of developing incident CHD with an average of 21.5 years of follow-up among African Americans (hazard ratio=0.18; P=1.9×10(-4)). This finding was validated in an independent sample of European Americans from the Framingham Heart Study (FHS) Offspring Cohort. However, LoF variants in HAL were not directly significantly associated with incident CHD after meta-analyzing results from the CHARGE Consortium.

CONCLUSIONS: Three LoF mutations in HAL were associated with increased histidine levels, which in turn were shown to be inversely related to the risk of CHD among both African Americans and European Americans. Future investigations on the association between HAL gene variation and CHD are warranted.

%B Circ Cardiovasc Genet %V 8 %P 351-5 %8 2015 Apr %G eng %N 2 %1 https://www.ncbi.nlm.nih.gov/pubmed/25575548?dopt=Abstract %R 10.1161/CIRCGENETICS.114.000697 %0 Journal Article %J Nat Genet %D 2015 %T A comprehensive 1,000 Genomes-based genome-wide association meta-analysis of coronary artery disease. %A Nikpay, Majid %A Goel, Anuj %A Won, Hong-Hee %A Hall, Leanne M %A Willenborg, Christina %A Kanoni, Stavroula %A Saleheen, Danish %A Kyriakou, Theodosios %A Nelson, Christopher P %A Hopewell, Jemma C %A Webb, Thomas R %A Zeng, Lingyao %A Dehghan, Abbas %A Alver, Maris %A Armasu, Sebastian M %A Auro, Kirsi %A Bjonnes, Andrew %A Chasman, Daniel I %A Chen, Shufeng %A Ford, Ian %A Franceschini, Nora %A Gieger, Christian %A Grace, Christopher %A Gustafsson, Stefan %A Huang, Jie %A Hwang, Shih-Jen %A Kim, Yun Kyoung %A Kleber, Marcus E %A Lau, King Wai %A Lu, Xiangfeng %A Lu, Yingchang %A Lyytikäinen, Leo-Pekka %A Mihailov, Evelin %A Morrison, Alanna C %A Pervjakova, Natalia %A Qu, Liming %A Rose, Lynda M %A Salfati, Elias %A Saxena, Richa %A Scholz, Markus %A Smith, Albert V %A Tikkanen, Emmi %A Uitterlinden, Andre %A Yang, Xueli %A Zhang, Weihua %A Zhao, Wei %A de Andrade, Mariza %A de Vries, Paul S %A Van Zuydam, Natalie R %A Anand, Sonia S %A Bertram, Lars %A Beutner, Frank %A Dedoussis, George %A Frossard, Philippe %A Gauguier, Dominique %A Goodall, Alison H %A Gottesman, Omri %A Haber, Marc %A Han, Bok-Ghee %A Huang, Jianfeng %A Jalilzadeh, Shapour %A Kessler, Thorsten %A König, Inke R %A Lannfelt, Lars %A Lieb, Wolfgang %A Lind, Lars %A Lindgren, Cecilia M %A Lokki, Marja-Liisa %A Magnusson, Patrik K %A Mallick, Nadeem H %A Mehra, Narinder %A Meitinger, Thomas %A Memon, Fazal-Ur-Rehman %A Morris, Andrew P %A Nieminen, Markku S %A Pedersen, Nancy L %A Peters, Annette %A Rallidis, Loukianos S %A Rasheed, Asif %A Samuel, Maria %A Shah, Svati H %A Sinisalo, Juha %A Stirrups, Kathleen E %A Trompet, Stella %A Wang, Laiyuan %A Zaman, Khan S %A Ardissino, Diego %A Eric Boerwinkle %A Borecki, Ingrid B %A Bottinger, Erwin P %A Buring, Julie E %A Chambers, John C %A Collins, Rory %A Cupples, L Adrienne %A Danesh, John %A Demuth, Ilja %A Elosua, Roberto %A Epstein, Stephen E %A Esko, Tõnu %A Feitosa, Mary F %A Franco, Oscar H %A Franzosi, Maria Grazia %A Granger, Christopher B %A Gu, Dongfeng %A Gudnason, Vilmundur %A Hall, Alistair S %A Hamsten, Anders %A Harris, Tamara B %A Hazen, Stanley L %A Hengstenberg, Christian %A Hofman, Albert %A Ingelsson, Erik %A Iribarren, Carlos %A Jukema, J Wouter %A Karhunen, Pekka J %A Kim, Bong-Jo %A Kooner, Jaspal S %A Kullo, Iftikhar J %A Lehtimäki, Terho %A Loos, Ruth J F %A Melander, Olle %A Metspalu, Andres %A Marz, Winfried %A Palmer, Colin N %A Perola, Markus %A Quertermous, Thomas %A Rader, Daniel J %A Ridker, Paul M %A Ripatti, Samuli %A Roberts, Robert %A Salomaa, Veikko %A Sanghera, Dharambir K %A Schwartz, Stephen M %A Seedorf, Udo %A Stewart, Alexandre F %A Stott, David J %A Thiery, Joachim %A Zalloua, Pierre A %A O'Donnell, Christopher J %A Reilly, Muredach P %A Assimes, Themistocles L %A Thompson, John R %A Erdmann, Jeanette %A Clarke, Robert %A Watkins, Hugh %A Kathiresan, Sekar %A McPherson, Ruth %A Deloukas, Panos %A Schunkert, Heribert %A Samani, Nilesh J %A Farrall, Martin %K Coronary Artery Disease %K Genome, Human %K Genome-Wide Association Study %K Humans %K Phenotype %X

Existing knowledge of genetic variants affecting risk of coronary artery disease (CAD) is largely based on genome-wide association study (GWAS) analysis of common SNPs. Leveraging phased haplotypes from the 1000 Genomes Project, we report a GWAS meta-analysis of ∼185,000 CAD cases and controls, interrogating 6.7 million common (minor allele frequency (MAF) > 0.05) and 2.7 million low-frequency (0.005 < MAF < 0.05) variants. In addition to confirming most known CAD-associated loci, we identified ten new loci (eight additive and two recessive) that contain candidate causal genes newly implicating biological processes in vessel walls. We observed intralocus allelic heterogeneity but little evidence of low-frequency variants with larger effects and no evidence of synthetic association. Our analysis provides a comprehensive survey of the fine genetic architecture of CAD, showing that genetic susceptibility to this common disease is largely determined by common SNPs of small effect size.

%B Nat Genet %V 47 %P 1121-1130 %8 2015 Oct %G eng %N 10 %1 https://www.ncbi.nlm.nih.gov/pubmed/26343387?dopt=Abstract %R 10.1038/ng.3396 %0 Journal Article %J NPJ Aging Mech Dis %D 2015 %T Fine mapping the region reveals a common intronic insertion associated to HDL-C. %A van Leeuwen, Elisabeth M %A Huffman, Jennifer E %A Bis, Joshua C %A Isaacs, Aaron %A Mulder, Monique %A Aniko Sabo %A Smith, Albert V %A Demissie, Serkalem %A Manichaikul, Ani %A Brody, Jennifer A %A Feitosa, Mary F %A Duan, Qing %A Schraut, Katharina E %A Navarro, Pau %A Van Vliet-Ostaptchouk, Jana V %A Zhu, Gu %A Mbarek, Hamdi %A Trompet, Stella %A Verweij, Niek %A Lyytikäinen, Leo-Pekka %A Deelen, Joris %A Nolte, Ilja M %A van der Laan, Sander W %A Davies, Gail %A Vermeij-Verdoold, Andrea Jm %A van Oosterhout, Andy Alj %A Vergeer-Drop, Jeannette M %A Arking, Dan E %A Trochet, Holly %A Medina-Gomez, Carolina %A Rivadeneira, Fernando %A Uitterlinden, André G %A Dehghan, Abbas %A Franco, Oscar H %A Sijbrands, Eric J %A Hofman, Albert %A White, Charles C %A Mychaleckyj, Josyf C %A Peloso, Gina M %A Swertz, Morris A %A Willemsen, Gonneke %A de Geus, Eco J %A Milaneschi, Yuri %A Penninx, Brenda Wjh %A Ford, Ian %A Buckley, Brendan M %A de Craen, Anton Jm %A Starr, John M %A Deary, Ian J %A Pasterkamp, Gerard %A Oldehinkel, Albertine J %A Snieder, Harold %A Slagboom, P Eline %A Nikus, Kjell %A Kähönen, Mika %A Lehtimäki, Terho %A Viikari, Jorma S %A Raitakari, Olli T %A van der Harst, Pim %A Jukema, J Wouter %A Hottenga, Jouke-Jan %A Boomsma, Dorret I %A Whitfield, John B %A Montgomery, Grant %A Martin, Nicholas G %A Polasek, Ozren %A Vitart, Veronique %A Hayward, Caroline %A Kolcic, Ivana %A Wright, Alan F %A Rudan, Igor %A Joshi, Peter K %A Wilson, James F %A Lange, Leslie A %A Wilson, James G %A Gudnason, Vilmundur %A Harris, Tamar B %A Morrison, Alanna C %A Borecki, Ingrid B %A Rich, Stephen S %A Padmanabhan, Sandosh %A Psaty, Bruce M %A Rotter, Jerome I %A Smith, Blair H %A Eric Boerwinkle %A Cupples, L Adrienne %A van Duijn, Cornelia %X

BACKGROUND: Individuals with exceptional longevity and their offspring have significantly larger high-density lipoprotein concentrations (HDL-C) particle sizes due to the increased homozygosity for the I405V variant in the cholesteryl ester transfer protein ( gene. In this study, we investigate the association of and HDL-C further to identify novel, independent variants associated with HDL-C in humans.

METHODS: We performed a meta-analysis of HDL-C within the region using 59,432 individuals imputed with 1000 Genomes data. We performed replication in an independent sample of 47,866 individuals and validation was done by Sanger sequencing.

RESULTS: The meta-analysis of HDL-C within the region identified five independent variants, including an exonic variant and a common intronic insertion. We replicated these 5 variants significantly in an independent sample of 47,866 individuals. Sanger sequencing of the insertion within a single family confirmed segregation of this variant. The strongest reported association between HDL-C and variants, was rs3764261; however, after conditioning on the five novel variants we identified the support for rs3764261 was highly reduced (=3.179 mg/dl ( value=5.25×10), =0.859 mg/dl ( value=9.51×10)), and this finding suggests that these five novel variants may partly explain the association of with HDL-C. Indeed, three of the five novel variants (rs34065661, rs5817082, rs7499892) are independent of rs3764261.

CONCLUSIONS: The causal variants in that account for the association with HDL-C remain unknown. We used studies imputed to the 1000 Genomes reference panel for fine mapping of the region. We identified and validated five variants within this region that may partly account for the association of the known variant (rs3764261), as well as other sources of genetic contribution to HDL-C.

%B NPJ Aging Mech Dis %V 1 %P 15011 %8 2015 %G eng %1 https://www.ncbi.nlm.nih.gov/pubmed/28721259?dopt=Abstract %R 10.1038/npjamd.2015.11 %0 Journal Article %J Nat Commun %D 2015 %T Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility. %A Wessel, Jennifer %A Chu, Audrey Y %A Willems, Sara M %A Wang, Shuai %A Yaghootkar, Hanieh %A Brody, Jennifer A %A Dauriz, Marco %A Hivert, Marie-France %A Raghavan, Sridharan %A Lipovich, Leonard %A Hidalgo, Bertha %A Fox, Keolu %A Huffman, Jennifer E %A An, Ping %A Lu, Yingchang %A Rasmussen-Torvik, Laura J %A Grarup, Niels %A Ehm, Margaret G %A Li, Li %A Baldridge, Abigail S %A Stančáková, Alena %A Abrol, Ravinder %A Besse, Céline %A Boland, Anne %A Bork-Jensen, Jette %A Fornage, Myriam %A Freitag, Daniel F %A Garcia, Melissa E %A Guo, Xiuqing %A Hara, Kazuo %A Isaacs, Aaron %A Jakobsdottir, Johanna %A Lange, Leslie A %A Layton, Jill C %A Li, Man %A Hua Zhao, Jing %A Meidtner, Karina %A Morrison, Alanna C %A Nalls, Mike A %A Peters, Marjolein J %A Sabater-Lleal, Maria %A Schurmann, Claudia %A Silveira, Angela %A Smith, Albert V %A Southam, Lorraine %A Stoiber, Marcus H %A Strawbridge, Rona J %A Taylor, Kent D %A Varga, Tibor V %A Allin, Kristine H %A Amin, Najaf %A Aponte, Jennifer L %A Aung, Tin %A Barbieri, Caterina %A Bihlmeyer, Nathan A %A Boehnke, Michael %A Bombieri, Cristina %A Bowden, Donald W %A Burns, Sean M %A Chen, Yuning %A Chen, Yii-DerI %A Cheng, Ching-Yu %A Correa, Adolfo %A Czajkowski, Jacek %A Dehghan, Abbas %A Ehret, Georg B %A Eiriksdottir, Gudny %A Escher, Stefan A %A Farmaki, Aliki-Eleni %A Frånberg, Mattias %A Gambaro, Giovanni %A Giulianini, Franco %A Goddard, William A %A Goel, Anuj %A Gottesman, Omri %A Grove, Megan L %A Gustafsson, Stefan %A Hai, Yang %A Hallmans, Goran %A Heo, Jiyoung %A Hoffmann, Per %A Ikram, Mohammad K %A Jensen, Richard A %A Jørgensen, Marit E %A Jørgensen, Torben %A Karaleftheri, Maria %A Khor, Chiea C %A Kirkpatrick, Andrea %A Kraja, Aldi T %A Kuusisto, Johanna %A Lange, Ethan M %A Lee, I T %A Lee, Wen-Jane %A Leong, Aaron %A Liao, Jiemin %A Liu, Chunyu %A Liu, Yongmei %A Lindgren, Cecilia M %A Linneberg, Allan %A Malerba, Giovanni %A Mamakou, Vasiliki %A Marouli, Eirini %A Maruthur, Nisa M %A Matchan, Angela %A McKean-Cowdin, Roberta %A McLeod, Olga %A Metcalf, Ginger A %A Mohlke, Karen L %A Muzny, Donna M %A Ntalla, Ioanna %A Palmer, Nicholette D %A Pasko, Dorota %A Peter, Andreas %A Rayner, Nigel W %A Renstrom, Frida %A Rice, Ken %A Sala, Cinzia F %A Sennblad, Bengt %A Serafetinidis, Ioannis %A Smith, Jennifer A %A Soranzo, Nicole %A Speliotes, Elizabeth K %A Stahl, Eli A %A Stirrups, Kathleen %A Tentolouris, Nikos %A Thanopoulou, Anastasia %A Torres, Mina %A Traglia, Michela %A Tsafantakis, Emmanouil %A Javad, Sundas %A Yanek, Lisa R %A Zengini, Eleni %A Becker, Diane M %A Bis, Joshua C %A Brown, James B %A Cupples, L Adrienne %A Hansen, Torben %A Ingelsson, Erik %A Karter, Andrew J %A Lorenzo, Carlos %A Mathias, Rasika A %A Norris, Jill M %A Peloso, Gina M %A Sheu, Wayne H-H %A Toniolo, Daniela %A Vaidya, Dhananjay %A Varma, Rohit %A Wagenknecht, Lynne E %A Boeing, Heiner %A Bottinger, Erwin P %A Dedoussis, George %A Deloukas, Panos %A Ferrannini, Ele %A Franco, Oscar H %A Franks, Paul W %A Gibbs, Richard A %A Gudnason, Vilmundur %A Hamsten, Anders %A Harris, Tamara B %A Hattersley, Andrew T %A Hayward, Caroline %A Hofman, Albert %A Jansson, Jan-Håkan %A Langenberg, Claudia %A Launer, Lenore J %A Levy, Daniel %A Oostra, Ben A %A O'Donnell, Christopher J %A O'Rahilly, Stephen %A Padmanabhan, Sandosh %A Pankow, James S %A Polasek, Ozren %A Province, Michael A %A Rich, Stephen S %A Ridker, Paul M %A Rudan, Igor %A Schulze, Matthias B %A Smith, Blair H %A Uitterlinden, André G %A Walker, Mark %A Watkins, Hugh %A Wong, Tien Y %A Zeggini, Eleftheria %A Laakso, Markku %A Borecki, Ingrid B %A Chasman, Daniel I %A Pedersen, Oluf %A Psaty, Bruce M %A Tai, E Shyong %A van Duijn, Cornelia M %A Wareham, Nicholas J %A Waterworth, Dawn M %A Boerwinkle, Eric %A Kao, W H Linda %A Florez, Jose C %A Loos, Ruth J F %A Wilson, James G %A Frayling, Timothy M %A Siscovick, David S %A Dupuis, Josée %A Rotter, Jerome I %A Meigs, James B %A Scott, Robert A %A Goodarzi, Mark O %K Black People %K Blood Glucose %K Diabetes Mellitus, Type 2 %K Exome %K Fasting %K Genetic Association Studies %K Genetic Loci %K Genetic Predisposition to Disease %K Genetic Variation %K Glucagon-Like Peptide-1 Receptor %K Glucose-6-Phosphatase %K Humans %K Insulin %K Mutation Rate %K Oligonucleotide Array Sequence Analysis %K Polymorphism, Single Nucleotide %K White People %X

Fasting glucose and insulin are intermediate traits for type 2 diabetes. Here we explore the role of coding variation on these traits by analysis of variants on the HumanExome BeadChip in 60,564 non-diabetic individuals and in 16,491 T2D cases and 81,877 controls. We identify a novel association of a low-frequency nonsynonymous SNV in GLP1R (A316T; rs10305492; MAF=1.4%) with lower FG (β=-0.09±0.01 mmol l(-1), P=3.4 × 10(-12)), T2D risk (OR[95%CI]=0.86[0.76-0.96], P=0.010), early insulin secretion (β=-0.07±0.035 pmolinsulin mmolglucose(-1), P=0.048), but higher 2-h glucose (β=0.16±0.05 mmol l(-1), P=4.3 × 10(-4)). We identify a gene-based association with FG at G6PC2 (pSKAT=6.8 × 10(-6)) driven by four rare protein-coding SNVs (H177Y, Y207S, R283X and S324P). We identify rs651007 (MAF=20%) in the first intron of ABO at the putative promoter of an antisense lncRNA, associating with higher FG (β=0.02±0.004 mmol l(-1), P=1.3 × 10(-8)). Our approach identifies novel coding variant associations and extends the allelic spectrum of variation underlying diabetes-related quantitative traits and T2D susceptibility.

%B Nat Commun %V 6 %P 5897 %8 2015 Jan 29 %G eng %1 https://www.ncbi.nlm.nih.gov/pubmed/25631608?dopt=Abstract %R 10.1038/ncomms6897 %0 Journal Article %J Blood %D 2015 %T Rare and low-frequency variants and their association with plasma levels of fibrinogen, FVII, FVIII, and vWF. %A Huffman, Jennifer E %A de Vries, Paul S %A Morrison, Alanna C %A Sabater-Lleal, Maria %A Kacprowski, Tim %A Auer, Paul L %A Brody, Jennifer A %A Chasman, Daniel I %A Chen, Ming-Huei %A Guo, Xiuqing %A Lin, Li-An %A Marioni, Riccardo E %A Müller-Nurasyid, Martina %A Yanek, Lisa R %A Pankratz, Nathan %A Grove, Megan L %A de Maat, Moniek P M %A Cushman, Mary %A Wiggins, Kerri L %A Qi, Lihong %A Sennblad, Bengt %A Harris, Sarah E %A Polasek, Ozren %A Riess, Helene %A Rivadeneira, Fernando %A Rose, Lynda M %A Goel, Anuj %A Taylor, Kent D %A Teumer, Alexander %A Uitterlinden, André G %A Vaidya, Dhananjay %A Yao, Jie %A Tang, Weihong %A Levy, Daniel %A Waldenberger, Melanie %A Becker, Diane M %A Folsom, Aaron R %A Giulianini, Franco %A Greinacher, Andreas %A Hofman, Albert %A Huang, Chiang-Ching %A Kooperberg, Charles %A Silveira, Angela %A Starr, John M %A Strauch, Konstantin %A Strawbridge, Rona J %A Wright, Alan F %A McKnight, Barbara %A Franco, Oscar H %A Zakai, Neil %A Mathias, Rasika A %A Psaty, Bruce M %A Ridker, Paul M %A Tofler, Geoffrey H %A Völker, Uwe %A Watkins, Hugh %A Fornage, Myriam %A Hamsten, Anders %A Deary, Ian J %A Boerwinkle, Eric %A Koenig, Wolfgang %A Rotter, Jerome I %A Hayward, Caroline %A Dehghan, Abbas %A Reiner, Alex P %A O'Donnell, Christopher J %A Smith, Nicholas L %K Cohort Studies %K Factor VII %K Factor VIII %K Fibrinogen %K Gene Frequency %K Genetic Association Studies %K Genetic Variation %K Humans %K Nerve Tissue Proteins %K Polymorphism, Single Nucleotide %K Potassium Channels %K Potassium Channels, Sodium-Activated %K von Willebrand Factor %X

Fibrinogen, coagulation factor VII (FVII), and factor VIII (FVIII) and its carrier von Willebrand factor (vWF) play key roles in hemostasis. Previously identified common variants explain only a small fraction of the trait heritabilities, and additional variations may be explained by associations with rarer variants with larger effects. The aim of this study was to identify low-frequency (minor allele frequency [MAF] ≥0.01 and <0.05) and rare (MAF <0.01) variants that influence plasma concentrations of these 4 hemostatic factors by meta-analyzing exome chip data from up to 76,000 participants of 4 ancestries. We identified 12 novel associations of low-frequency (n = 2) and rare (n = 10) variants across the fibrinogen, FVII, FVIII, and vWF traits that were independent of previously identified associations. Novel loci were found within previously reported genes and had effect sizes much larger than and independent of previously identified common variants. In addition, associations at KCNT1, HID1, and KATNB1 identified new candidate genes related to hemostasis for follow-up replication and functional genomic analysis. Newly identified low-frequency and rare-variant associations accounted for modest amounts of trait variance and therefore are unlikely to increase predicted trait heritability but provide new information for understanding individual variation in hemostasis pathways.

%B Blood %V 126 %P e19-29 %8 2015 Sep 10 %G eng %N 11 %1 https://www.ncbi.nlm.nih.gov/pubmed/26105150?dopt=Abstract %R 10.1182/blood-2015-02-624551 %0 Journal Article %J Am J Hum Genet %D 2014 %T Association of low-frequency and rare coding-sequence variants with blood lipids and coronary heart disease in 56,000 whites and blacks. %A Peloso, Gina M %A Auer, Paul L %A Bis, Joshua C %A Voorman, Arend %A Morrison, Alanna C %A Stitziel, Nathan O %A Brody, Jennifer A %A Khetarpal, Sumeet A %A Crosby, Jacy R %A Fornage, Myriam %A Isaacs, Aaron %A Jakobsdottir, Johanna %A Feitosa, Mary F %A Davies, Gail %A Huffman, Jennifer E %A Manichaikul, Ani %A Davis, Brian %A Lohman, Kurt %A Joon, Aron Y %A Smith, Albert V %A Grove, Megan L %A Zanoni, Paolo %A Redon, Valeska %A Demissie, Serkalem %A Lawson, Kim %A Peters, Ulrike %A Carlson, Christopher %A Jackson, Rebecca D %A Ryckman, Kelli K %A Mackey, Rachel H %A Robinson, Jennifer G %A Siscovick, David S %A Schreiner, Pamela J %A Mychaleckyj, Josyf C %A Pankow, James S %A Hofman, Albert %A Uitterlinden, André G %A Harris, Tamara B %A Taylor, Kent D %A Stafford, Jeanette M %A Reynolds, Lindsay M %A Marioni, Riccardo E %A Dehghan, Abbas %A Franco, Oscar H %A Patel, Aniruddh P %A Lu, Yingchang %A Hindy, George %A Gottesman, Omri %A Bottinger, Erwin P %A Melander, Olle %A Orho-Melander, Marju %A Loos, Ruth J F %A Duga, Stefano %A Merlini, Piera Angelica %A Farrall, Martin %A Goel, Anuj %A Asselta, Rosanna %A Girelli, Domenico %A Martinelli, Nicola %A Shah, Svati H %A Kraus, William E %A Li, Mingyao %A Rader, Daniel J %A Reilly, Muredach P %A McPherson, Ruth %A Watkins, Hugh %A Ardissino, Diego %A Zhang, Qunyuan %A Wang, Judy %A Tsai, Michael Y %A Taylor, Herman A %A Correa, Adolfo %A Griswold, Michael E %A Lange, Leslie A %A Starr, John M %A Rudan, Igor %A Eiriksdottir, Gudny %A Launer, Lenore J %A Ordovas, Jose M %A Levy, Daniel %A Chen, Y-D Ida %A Reiner, Alexander P %A Hayward, Caroline %A Polasek, Ozren %A Deary, Ian J %A Borecki, Ingrid B %A Liu, Yongmei %A Gudnason, Vilmundur %A Wilson, James G %A van Duijn, Cornelia M %A Kooperberg, Charles %A Rich, Stephen S %A Psaty, Bruce M %A Rotter, Jerome I %A O'Donnell, Christopher J %A Rice, Kenneth %A Boerwinkle, Eric %A Kathiresan, Sekar %A Cupples, L Adrienne %K 1-Alkyl-2-acetylglycerophosphocholine Esterase %K Adult %K Aged %K Alleles %K Animals %K Black People %K Cholesterol, HDL %K Cholesterol, LDL %K Cohort Studies %K Coronary Disease %K Female %K Gene Frequency %K Genetic Association Studies %K Genetic Code %K Genetic Variation %K Humans %K Linear Models %K Male %K Mice %K Mice, Inbred C57BL %K Microtubule-Associated Proteins %K Middle Aged %K Phenotype %K Sequence Analysis, DNA %K Subtilisins %K Triglycerides %K White People %X

Low-frequency coding DNA sequence variants in the proprotein convertase subtilisin/kexin type 9 gene (PCSK9) lower plasma low-density lipoprotein cholesterol (LDL-C), protect against risk of coronary heart disease (CHD), and have prompted the development of a new class of therapeutics. It is uncertain whether the PCSK9 example represents a paradigm or an isolated exception. We used the "Exome Array" to genotype >200,000 low-frequency and rare coding sequence variants across the genome in 56,538 individuals (42,208 European ancestry [EA] and 14,330 African ancestry [AA]) and tested these variants for association with LDL-C, high-density lipoprotein cholesterol (HDL-C), and triglycerides. Although we did not identify new genes associated with LDL-C, we did identify four low-frequency (frequencies between 0.1% and 2%) variants (ANGPTL8 rs145464906 [c.361C>T; p.Gln121*], PAFAH1B2 rs186808413 [c.482C>T; p.Ser161Leu], COL18A1 rs114139997 [c.331G>A; p.Gly111Arg], and PCSK7 rs142953140 [c.1511G>A; p.Arg504His]) with large effects on HDL-C and/or triglycerides. None of these four variants was associated with risk for CHD, suggesting that examples of low-frequency coding variants with robust effects on both lipids and CHD will be limited.

%B Am J Hum Genet %V 94 %P 223-32 %8 2014 Feb 06 %G eng %N 2 %1 https://www.ncbi.nlm.nih.gov/pubmed/24507774?dopt=Abstract %R 10.1016/j.ajhg.2014.01.009 %0 Journal Article %J PLoS One %D 2014 %T No evidence for genome-wide interactions on plasma fibrinogen by smoking, alcohol consumption and body mass index: results from meta-analyses of 80,607 subjects. %A Baumert, Jens %A Huang, Jie %A McKnight, Barbara %A Sabater-Lleal, Maria %A Steri, Maristella %A Chu, Audrey Y %A Trompet, Stella %A Lopez, Lorna M %A Fornage, Myriam %A Teumer, Alexander %A Tang, Weihong %A Rudnicka, Alicja R %A Mälarstig, Anders %A Hottenga, Jouke-Jan %A Kavousi, Maryam %A Lahti, Jari %A Tanaka, Toshiko %A Hayward, Caroline %A Huffman, Jennifer E %A Morange, Pierre-Emmanuel %A Rose, Lynda M %A Basu, Saonli %A Rumley, Ann %A Stott, David J %A Buckley, Brendan M %A de Craen, Anton J M %A Sanna, Serena %A Masala, Marco %A Biffar, Reiner %A Homuth, Georg %A Silveira, Angela %A Sennblad, Bengt %A Goel, Anuj %A Watkins, Hugh %A Müller-Nurasyid, Martina %A Rückerl, Regina %A Taylor, Kent %A Chen, Ming-Huei %A de Geus, Eco J C %A Hofman, Albert %A Witteman, Jacqueline C M %A de Maat, Moniek P M %A Palotie, Aarno %A Davies, Gail %A Siscovick, David S %A Kolcic, Ivana %A Wild, Sarah H %A Song, Jaejoon %A McArdle, Wendy L %A Ford, Ian %A Sattar, Naveed %A Schlessinger, David %A Grotevendt, Anne %A Franzosi, Maria Grazia %A Illig, Thomas %A Waldenberger, Melanie %A Lumley, Thomas %A Tofler, Geoffrey H %A Willemsen, Gonneke %A Uitterlinden, André G %A Rivadeneira, Fernando %A Räikkönen, Katri %A Chasman, Daniel I %A Folsom, Aaron R %A Lowe, Gordon D %A Westendorp, Rudi G J %A Slagboom, P Eline %A Cucca, Francesco %A Wallaschofski, Henri %A Strawbridge, Rona J %A Seedorf, Udo %A Koenig, Wolfgang %A Bis, Joshua C %A Mukamal, Kenneth J %A van Dongen, Jenny %A Widen, Elisabeth %A Franco, Oscar H %A Starr, John M %A Liu, Kiang %A Ferrucci, Luigi %A Polasek, Ozren %A Wilson, James F %A Oudot-Mellakh, Tiphaine %A Campbell, Harry %A Navarro, Pau %A Bandinelli, Stefania %A Eriksson, Johan %A Boomsma, Dorret I %A Dehghan, Abbas %A Clarke, Robert %A Hamsten, Anders %A Boerwinkle, Eric %A Jukema, J Wouter %A Naitza, Silvia %A Ridker, Paul M %A Völzke, Henry %A Deary, Ian J %A Reiner, Alexander P %A Trégouët, David-Alexandre %A O'Donnell, Christopher J %A Strachan, David P %A Peters, Annette %A Smith, Nicholas L %K Alcohol Drinking %K Body Mass Index %K Fibrinogen %K Gene-Environment Interaction %K Genomics %K Humans %K Smoking %X

Plasma fibrinogen is an acute phase protein playing an important role in the blood coagulation cascade having strong associations with smoking, alcohol consumption and body mass index (BMI). Genome-wide association studies (GWAS) have identified a variety of gene regions associated with elevated plasma fibrinogen concentrations. However, little is yet known about how associations between environmental factors and fibrinogen might be modified by genetic variation. Therefore, we conducted large-scale meta-analyses of genome-wide interaction studies to identify possible interactions of genetic variants and smoking status, alcohol consumption or BMI on fibrinogen concentration. The present study included 80,607 subjects of European ancestry from 22 studies. Genome-wide interaction analyses were performed separately in each study for about 2.6 million single nucleotide polymorphisms (SNPs) across the 22 autosomal chromosomes. For each SNP and risk factor, we performed a linear regression under an additive genetic model including an interaction term between SNP and risk factor. Interaction estimates were meta-analysed using a fixed-effects model. No genome-wide significant interaction with smoking status, alcohol consumption or BMI was observed in the meta-analyses. The most suggestive interaction was found for smoking and rs10519203, located in the LOC123688 region on chromosome 15, with a p value of 6.2 × 10(-8). This large genome-wide interaction study including 80,607 participants found no strong evidence of interaction between genetic variants and smoking status, alcohol consumption or BMI on fibrinogen concentrations. Further studies are needed to yield deeper insight in the interplay between environmental factors and gene variants on the regulation of fibrinogen concentrations.

%B PLoS One %V 9 %P e111156 %8 2014 %G eng %N 12 %1 https://www.ncbi.nlm.nih.gov/pubmed/25551457?dopt=Abstract %R 10.1371/journal.pone.0111156