%0 Journal Article %J Genet Epidemiol %D 2021 %T Exome sequence association study of levels and longitudinal change of cardiovascular risk factor phenotypes in European Americans and African Americans from the Atherosclerosis Risk in Communities Study. %A Feofanova, Elena V %A Lim, Elise %A Chen, Han %A Lee, MinJae %A Liu, Ching-Ti %A Cupples, L Adrienne %A Eric Boerwinkle %K Atherosclerosis %K Black or African American %K Cardiovascular Diseases %K Exome %K Heart Disease Risk Factors %K Humans %K Phenotype %K Risk Factors %X

Cardiovascular disease (CVD) is responsible for 31% of all deaths worldwide. Among CVD risk factors are age, race, increased systolic blood pressure (BP), and dyslipidemia. Both BP and blood lipids levels change with age, with a dose-dependent relationship between the cumulative exposure to hyperlipidemia and the risk of CVD. We performed an exome sequence association study using longitudinal data with up to 7805 European Americans (EAs) and 3171 African Americans (AAs) from the Atherosclerosis Risk in Communities (ARIC) study. We assessed associations of common (minor allele frequency > 5%) nonsynonymous and splice-site variants and gene-based sets of rare variants with levels and with longitudinal change of seven CVD risk factor phenotypes (BP traits: systolic BP, diastolic BP, pulse pressure; lipids traits: triglycerides, total cholesterol, high-density lipoprotein cholesterol [HDL-C], low-density lipoprotein cholesterol [LDL-C]). Furthermore, we investigated the relationship of the identified variants and genes with select CVD endpoints. We identified two novel genes: DCLK3 associated with the change of HDL-C levels in AAs and RAB7L1 associated with the change of LDL-C levels in EAs. RAB7L1 is further associated with an increased risk of heart failure in ARIC EAs. Investigation of the contribution of genetic factors to the longitudinal change of CVD risk factor phenotypes promotes our understanding of the etiology of CVD outcomes, stressing the importance of incorporating the longitudinal structure of the cohort data in future analyses.

%B Genet Epidemiol %V 45 %P 651-663 %8 2021 Sep %G eng %N 6 %1 https://www.ncbi.nlm.nih.gov/pubmed/34167169?dopt=Abstract %R 10.1002/gepi.22390 %0 Journal Article %J Nat Genet %D 2021 %T Publisher Correction: Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals. %A Surendran, Praveen %A Feofanova, Elena V %A Lahrouchi, Najim %A Ntalla, Ioanna %A Karthikeyan, Savita %A Cook, James %A Chen, Lingyan %A Mifsud, Borbala %A Yao, Chen %A Kraja, Aldi T %A Cartwright, James H %A Hellwege, Jacklyn N %A Giri, Ayush %A Tragante, Vinicius %A Thorleifsson, Gudmar %A Liu, Dajiang J %A Prins, Bram P %A Stewart, Isobel D %A Cabrera, Claudia P %A Eales, James M %A Akbarov, Artur %A Auer, Paul L %A Bielak, Lawrence F %A Bis, Joshua C %A Braithwaite, Vickie S %A Brody, Jennifer A %A Daw, E Warwick %A Warren, Helen R %A Drenos, Fotios %A Nielsen, Sune Fallgaard %A Faul, Jessica D %A Fauman, Eric B %A Fava, Cristiano %A Ferreira, Teresa %A Foley, Christopher N %A Franceschini, Nora %A Gao, He %A Giannakopoulou, Olga %A Giulianini, Franco %A Gudbjartsson, Daniel F %A Guo, Xiuqing %A Harris, Sarah E %A Havulinna, Aki S %A Helgadottir, Anna %A Huffman, Jennifer E %A Hwang, Shih-Jen %A Kanoni, Stavroula %A Kontto, Jukka %A Larson, Martin G %A Li-Gao, Ruifang %A Lindström, Jaana %A Lotta, Luca A %A Lu, Yingchang %A Luan, Jian'an %A Mahajan, Anubha %A Malerba, Giovanni %A Masca, Nicholas G D %A Mei, Hao %A Menni, Cristina %A Mook-Kanamori, Dennis O %A Mosen-Ansorena, David %A Müller-Nurasyid, Martina %A Paré, Guillaume %A Paul, Dirk S %A Perola, Markus %A Poveda, Alaitz %A Rauramaa, Rainer %A Richard, Melissa %A Richardson, Tom G %A Sepúlveda, Nuno %A Sim, Xueling %A Smith, Albert V %A Smith, Jennifer A %A Staley, James R %A Stanáková, Alena %A Sulem, Patrick %A Thériault, Sébastien %A Thorsteinsdottir, Unnur %A Trompet, Stella %A Varga, Tibor V %A Velez Edwards, Digna R %A Veronesi, Giovanni %A Weiss, Stefan %A Willems, Sara M %A Yao, Jie %A Young, Robin %A Yu, Bing %A Zhang, Weihua %A Zhao, Jing-Hua %A Zhao, Wei %A Zhao, Wei %A Evangelou, Evangelos %A Aeschbacher, Stefanie %A Asllanaj, Eralda %A Blankenberg, Stefan %A Bonnycastle, Lori L %A Bork-Jensen, Jette %A Brandslund, Ivan %A Braund, Peter S %A Burgess, Stephen %A Cho, Kelly %A Christensen, Cramer %A Connell, John %A Mutsert, Renée de %A Dominiczak, Anna F %A Dörr, Marcus %A Eiriksdottir, Gudny %A Farmaki, Aliki-Eleni %A Gaziano, J Michael %A Grarup, Niels %A Grove, Megan L %A Hallmans, Goran %A Hansen, Torben %A Have, Christian T %A Heiss, Gerardo %A Jørgensen, Marit E %A Jousilahti, Pekka %A Kajantie, Eero %A Kamat, Mihir %A Käräjämäki, Annemari %A Karpe, Fredrik %A Koistinen, Heikki A %A Kovesdy, Csaba P %A Kuulasmaa, Kari %A Laatikainen, Tiina %A Lannfelt, Lars %A Lee, I-Te %A Lee, Wen-Jane %A Linneberg, Allan %A Martin, Lisa W %A Moitry, Marie %A Nadkarni, Girish %A Neville, Matt J %A Palmer, Colin N A %A Papanicolaou, George J %A Pedersen, Oluf %A Peters, James %A Poulter, Neil %A Rasheed, Asif %A Rasmussen, Katrine L %A Rayner, N William %A Mägi, Reedik %A Renstrom, Frida %A Rettig, Rainer %A Rossouw, Jacques %A Schreiner, Pamela J %A Sever, Peter S %A Sigurdsson, Emil L %A Skaaby, Tea %A Sun, Yan V %A Sundström, Johan %A Thorgeirsson, Gudmundur %A Esko, Tõnu %A Trabetti, Elisabetta %A Tsao, Philip S %A Tuomi, Tiinamaija %A Turner, Stephen T %A Tzoulaki, Ioanna %A Vaartjes, Ilonca %A Vergnaud, Anne-Claire %A Willer, Cristen J %A Wilson, Peter W F %A Witte, Daniel R %A Yonova-Doing, Ekaterina %A Zhang, He %A Aliya, Naheed %A Almgren, Peter %A Amouyel, Philippe %A Asselbergs, Folkert W %A Barnes, Michael R %A Blakemore, Alexandra I %A Boehnke, Michael %A Bots, Michiel L %A Bottinger, Erwin P %A Buring, Julie E %A Chambers, John C %A Chen, Yii-Der Ida %A Chowdhury, Rajiv %A Conen, David %A Correa, Adolfo %A Davey Smith, George %A Boer, Rudolf A de %A Deary, Ian J %A Dedoussis, George %A Deloukas, Panos %A Di Angelantonio, Emanuele %A Elliott, Paul %A Felix, Stephan B %A Ferrieres, Jean %A Ford, Ian %A Fornage, Myriam %A Franks, Paul W %A Franks, Stephen %A Frossard, Philippe %A Gambaro, Giovanni %A Gaunt, Tom R %A Groop, Leif %A Gudnason, Vilmundur %A Harris, Tamara B %A Hayward, Caroline %A Hennig, Branwen J %A Herzig, Karl-Heinz %A Ingelsson, Erik %A Tuomilehto, Jaakko %A Jarvelin, Marjo-Riitta %A Jukema, J Wouter %A Kardia, Sharon L R %A Kee, Frank %A Kooner, Jaspal S %A Kooperberg, Charles %A Launer, Lenore J %A Lind, Lars %A Loos, Ruth J F %A Majumder, Abdulla Al Shafi %A Laakso, Markku %A McCarthy, Mark I %A Melander, Olle %A Mohlke, Karen L %A Murray, Alison D %A Nordestgaard, Børge Grønne %A Orho-Melander, Marju %A Packard, Chris J %A Padmanabhan, Sandosh %A Palmas, Walter %A Polasek, Ozren %A Porteous, David J %A Prentice, Andrew M %A Province, Michael A %A Relton, Caroline L %A Rice, Kenneth %A Ridker, Paul M %A Rolandsson, Olov %A Rosendaal, Frits R %A Rotter, Jerome I %A Rudan, Igor %A Salomaa, Veikko %A Samani, Nilesh J %A Sattar, Naveed %A Sheu, Wayne H-H %A Smith, Blair H %A Soranzo, Nicole %A Spector, Timothy D %A Starr, John M %A Sebert, Sylvain %A Taylor, Kent D %A Lakka, Timo A %A Timpson, Nicholas J %A Tobin, Martin D %A van der Harst, Pim %A van der Meer, Peter %A Ramachandran, Vasan S %A Verweij, Niek %A Virtamo, Jarmo %A Völker, Uwe %A Weir, David R %A Zeggini, Eleftheria %A Charchar, Fadi J %A Wareham, Nicholas J %A Langenberg, Claudia %A Tomaszewski, Maciej %A Butterworth, Adam S %A Caulfield, Mark J %A Danesh, John %A Edwards, Todd L %A Holm, Hilma %A Hung, Adriana M %A Lindgren, Cecilia M %A Liu, Chunyu %A Manning, Alisa K %A Morris, Andrew P %A Morrison, Alanna C %A O'Donnell, Christopher J %A Psaty, Bruce M %A Saleheen, Danish %A Stefansson, Kari %A Eric Boerwinkle %A Chasman, Daniel I %A Levy, Daniel %A Newton-Cheh, Christopher %A Munroe, Patricia B %A Howson, Joanna M M %B Nat Genet %V 53 %P 762 %8 2021 May %G eng %N 5 %1 https://www.ncbi.nlm.nih.gov/pubmed/33727701?dopt=Abstract %R 10.1038/s41588-021-00832-z %0 Journal Article %J Nat Genet %D 2020 %T Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals. %A Surendran, Praveen %A Feofanova, Elena V %A Lahrouchi, Najim %A Ntalla, Ioanna %A Karthikeyan, Savita %A Cook, James %A Chen, Lingyan %A Mifsud, Borbala %A Yao, Chen %A Kraja, Aldi T %A Cartwright, James H %A Hellwege, Jacklyn N %A Giri, Ayush %A Tragante, Vinicius %A Thorleifsson, Gudmar %A Liu, Dajiang J %A Prins, Bram P %A Stewart, Isobel D %A Cabrera, Claudia P %A Eales, James M %A Akbarov, Artur %A Auer, Paul L %A Bielak, Lawrence F %A Bis, Joshua C %A Braithwaite, Vickie S %A Brody, Jennifer A %A Daw, E Warwick %A Warren, Helen R %A Drenos, Fotios %A Nielsen, Sune Fallgaard %A Faul, Jessica D %A Fauman, Eric B %A Fava, Cristiano %A Ferreira, Teresa %A Foley, Christopher N %A Franceschini, Nora %A Gao, He %A Giannakopoulou, Olga %A Giulianini, Franco %A Gudbjartsson, Daniel F %A Guo, Xiuqing %A Harris, Sarah E %A Havulinna, Aki S %A Helgadottir, Anna %A Huffman, Jennifer E %A Hwang, Shih-Jen %A Kanoni, Stavroula %A Kontto, Jukka %A Larson, Martin G %A Li-Gao, Ruifang %A Lindström, Jaana %A Lotta, Luca A %A Lu, Yingchang %A Luan, Jian'an %A Mahajan, Anubha %A Malerba, Giovanni %A Masca, Nicholas G D %A Mei, Hao %A Menni, Cristina %A Mook-Kanamori, Dennis O %A Mosen-Ansorena, David %A Müller-Nurasyid, Martina %A Paré, Guillaume %A Paul, Dirk S %A Perola, Markus %A Poveda, Alaitz %A Rauramaa, Rainer %A Richard, Melissa %A Richardson, Tom G %A Sepúlveda, Nuno %A Sim, Xueling %A Smith, Albert V %A Smith, Jennifer A %A Staley, James R %A Stanáková, Alena %A Sulem, Patrick %A Thériault, Sébastien %A Thorsteinsdottir, Unnur %A Trompet, Stella %A Varga, Tibor V %A Velez Edwards, Digna R %A Veronesi, Giovanni %A Weiss, Stefan %A Willems, Sara M %A Yao, Jie %A Young, Robin %A Yu, Bing %A Zhang, Weihua %A Zhao, Jing-Hua %A Zhao, Wei %A Zhao, Wei %A Evangelou, Evangelos %A Aeschbacher, Stefanie %A Asllanaj, Eralda %A Blankenberg, Stefan %A Bonnycastle, Lori L %A Bork-Jensen, Jette %A Brandslund, Ivan %A Braund, Peter S %A Burgess, Stephen %A Cho, Kelly %A Christensen, Cramer %A Connell, John %A Mutsert, Renée de %A Dominiczak, Anna F %A Dörr, Marcus %A Eiriksdottir, Gudny %A Farmaki, Aliki-Eleni %A Gaziano, J Michael %A Grarup, Niels %A Grove, Megan L %A Hallmans, Goran %A Hansen, Torben %A Have, Christian T %A Heiss, Gerardo %A Jørgensen, Marit E %A Jousilahti, Pekka %A Kajantie, Eero %A Kamat, Mihir %A Käräjämäki, Annemari %A Karpe, Fredrik %A Koistinen, Heikki A %A Kovesdy, Csaba P %A Kuulasmaa, Kari %A Laatikainen, Tiina %A Lannfelt, Lars %A Lee, I-Te %A Lee, Wen-Jane %A Linneberg, Allan %A Martin, Lisa W %A Moitry, Marie %A Nadkarni, Girish %A Neville, Matt J %A Palmer, Colin N A %A Papanicolaou, George J %A Pedersen, Oluf %A Peters, James %A Poulter, Neil %A Rasheed, Asif %A Rasmussen, Katrine L %A Rayner, N William %A Mägi, Reedik %A Renstrom, Frida %A Rettig, Rainer %A Rossouw, Jacques %A Schreiner, Pamela J %A Sever, Peter S %A Sigurdsson, Emil L %A Skaaby, Tea %A Sun, Yan V %A Sundström, Johan %A Thorgeirsson, Gudmundur %A Esko, Tõnu %A Trabetti, Elisabetta %A Tsao, Philip S %A Tuomi, Tiinamaija %A Turner, Stephen T %A Tzoulaki, Ioanna %A Vaartjes, Ilonca %A Vergnaud, Anne-Claire %A Willer, Cristen J %A Wilson, Peter W F %A Witte, Daniel R %A Yonova-Doing, Ekaterina %A Zhang, He %A Aliya, Naheed %A Almgren, Peter %A Amouyel, Philippe %A Asselbergs, Folkert W %A Barnes, Michael R %A Blakemore, Alexandra I %A Boehnke, Michael %A Bots, Michiel L %A Bottinger, Erwin P %A Buring, Julie E %A Chambers, John C %A Chen, Yii-Der Ida %A Chowdhury, Rajiv %A Conen, David %A Correa, Adolfo %A Davey Smith, George %A Boer, Rudolf A de %A Deary, Ian J %A Dedoussis, George %A Deloukas, Panos %A Di Angelantonio, Emanuele %A Elliott, Paul %A Felix, Stephan B %A Ferrieres, Jean %A Ford, Ian %A Fornage, Myriam %A Franks, Paul W %A Franks, Stephen %A Frossard, Philippe %A Gambaro, Giovanni %A Gaunt, Tom R %A Groop, Leif %A Gudnason, Vilmundur %A Harris, Tamara B %A Hayward, Caroline %A Hennig, Branwen J %A Herzig, Karl-Heinz %A Ingelsson, Erik %A Tuomilehto, Jaakko %A Jarvelin, Marjo-Riitta %A Jukema, J Wouter %A Kardia, Sharon L R %A Kee, Frank %A Kooner, Jaspal S %A Kooperberg, Charles %A Launer, Lenore J %A Lind, Lars %A Loos, Ruth J F %A Majumder, Abdulla Al Shafi %A Laakso, Markku %A McCarthy, Mark I %A Melander, Olle %A Mohlke, Karen L %A Murray, Alison D %A Nordestgaard, Børge Grønne %A Orho-Melander, Marju %A Packard, Chris J %A Padmanabhan, Sandosh %A Palmas, Walter %A Polasek, Ozren %A Porteous, David J %A Prentice, Andrew M %A Province, Michael A %A Relton, Caroline L %A Rice, Kenneth %A Ridker, Paul M %A Rolandsson, Olov %A Rosendaal, Frits R %A Rotter, Jerome I %A Rudan, Igor %A Salomaa, Veikko %A Samani, Nilesh J %A Sattar, Naveed %A Sheu, Wayne H-H %A Smith, Blair H %A Soranzo, Nicole %A Spector, Timothy D %A Starr, John M %A Sebert, Sylvain %A Taylor, Kent D %A Lakka, Timo A %A Timpson, Nicholas J %A Tobin, Martin D %A van der Harst, Pim %A van der Meer, Peter %A Ramachandran, Vasan S %A Verweij, Niek %A Virtamo, Jarmo %A Völker, Uwe %A Weir, David R %A Zeggini, Eleftheria %A Charchar, Fadi J %A Wareham, Nicholas J %A Langenberg, Claudia %A Tomaszewski, Maciej %A Butterworth, Adam S %A Caulfield, Mark J %A Danesh, John %A Edwards, Todd L %A Holm, Hilma %A Hung, Adriana M %A Lindgren, Cecilia M %A Liu, Chunyu %A Manning, Alisa K %A Morris, Andrew P %A Morrison, Alanna C %A O'Donnell, Christopher J %A Psaty, Bruce M %A Saleheen, Danish %A Stefansson, Kari %A Eric Boerwinkle %A Chasman, Daniel I %A Levy, Daniel %A Newton-Cheh, Christopher %A Munroe, Patricia B %A Howson, Joanna M M %K Blood Pressure %K GATA5 Transcription Factor %K Gene Frequency %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Genotype %K Humans %K Hypertension %K Mutation %K Phospholipase C beta %K Polymorphism, Single Nucleotide %X

Genetic studies of blood pressure (BP) to date have mainly analyzed common variants (minor allele frequency > 0.05). In a meta-analysis of up to ~1.3 million participants, we discovered 106 new BP-associated genomic regions and 87 rare (minor allele frequency ≤ 0.01) variant BP associations (P < 5 × 10), of which 32 were in new BP-associated loci and 55 were independent BP-associated single-nucleotide variants within known BP-associated regions. Average effects of rare variants (44% coding) were ~8 times larger than common variant effects and indicate potential candidate causal genes at new and known loci (for example, GATA5 and PLCB3). BP-associated variants (including rare and common) were enriched in regions of active chromatin in fetal tissues, potentially linking fetal development with BP regulation in later life. Multivariable Mendelian randomization suggested possible inverse effects of elevated systolic and diastolic BP on large artery stroke. Our study demonstrates the utility of rare-variant analyses for identifying candidate genes and the results highlight potential therapeutic targets.

%B Nat Genet %V 52 %P 1314-1332 %8 2020 Dec %G eng %N 12 %1 https://www.ncbi.nlm.nih.gov/pubmed/33230300?dopt=Abstract %R 10.1038/s41588-020-00713-x %0 Journal Article %J PLoS Genet %D 2019 %T Unraveling the functional role of the orphan solute carrier, SLC22A24 in the transport of steroid conjugates through metabolomic and genome-wide association studies. %A Yee, Sook Wah %A Stecula, Adrian %A Chien, Huan-Chieh %A Zou, Ling %A Feofanova, Elena V %A van Borselen, Marjolein %A Cheung, Kit Wun Kathy %A Yousri, Noha A %A Suhre, Karsten %A Kinchen, Jason M %A Eric Boerwinkle %A Irannejad, Roshanak %A Yu, Bing %A Giacomini, Kathleen M %K Androsterone %K Animals %K Biological Transport %K Genome-Wide Association Study %K HEK293 Cells %K Humans %K Metabolomics %K Models, Molecular %K Organic Cation Transport Proteins %K Phylogeny %K Polymorphism, Single Nucleotide %K Steroids %K Symporters %X

Variation in steroid hormone levels has wide implications for health and disease. The genes encoding the proteins involved in steroid disposition represent key determinants of interindividual variation in steroid levels and ultimately, their effects. Beginning with metabolomic data from genome-wide association studies (GWAS), we observed that genetic variants in the orphan transporter, SLC22A24 were significantly associated with levels of androsterone glucuronide and etiocholanolone glucuronide (sentinel SNPs p-value <1x10-30). In cells over-expressing human or various mammalian orthologs of SLC22A24, we showed that steroid conjugates and bile acids were substrates of the transporter. Phylogenetic, genomic, and transcriptomic analyses suggested that SLC22A24 has a specialized role in the kidney and appears to function in the reabsorption of organic anions, and in particular, anionic steroids. Phenome-wide analysis showed that functional variants of SLC22A24 are associated with human disease such as cardiovascular diseases and acne, which have been linked to dysregulated steroid metabolism. Collectively, these functional genomic studies reveal a previously uncharacterized protein involved in steroid homeostasis, opening up new possibilities for SLC22A24 as a pharmacological target for regulating steroid levels.

%B PLoS Genet %V 15 %P e1008208 %8 2019 Sep %G eng %N 9 %1 https://www.ncbi.nlm.nih.gov/pubmed/31553721?dopt=Abstract %R 10.1371/journal.pgen.1008208 %0 Journal Article %J Genetics %D 2018 %T Sequence-Based Analysis of Lipid-Related Metabolites in a Multiethnic Study. %A Feofanova, Elena V %A Yu, Bing %A Ginger A Metcalf %A Liu, Xiaoming %A Donna M Muzny %A Below, Jennifer E %A Wagenknecht, Lynne E %A Richard A Gibbs %A Morrison, Alanna C %A Eric Boerwinkle %K Black or African American %K Female %K Humans %K Lipid Metabolism %K Male %K Metabolome %K Middle Aged %K Polymorphism, Single Nucleotide %K Quantitative Trait Loci %K White People %X

Small molecule lipid-related metabolites are important components of fatty acid and steroid metabolism-two important contributors to human health. This study investigated the extent to which rare and common genetic variants spanning the human genome influence the lipid-related metabolome. Sequence data from 1552 European-Americans (EA) and 1872 African-Americans (AA) were analyzed to examine the impact of common and rare variants on the levels of 102 circulating lipid-related metabolites measured by a combination of chromatography and mass spectroscopy. We conducted single variant tests [minor allele frequency (MAF) > 5%, statistical significance -value ≤ 2.45 × 10] and tests aggregating rare variants (MAF ≤ 5%) across multiple genomic motifs, such as coding regions and regulatory domains, and sliding windows. Multiethnic meta-analyses detected 53 lipid-related metabolites-locus pairs, which were inspected for evidence of consistent signal between the two ethnic groups. Thirty-eight lipid-related metabolite-genomic region associations were consistent across ethnicities, among which seven were novel. The regions contain genes that are related to metabolite transport () and metabolism (, , , and ). Six of the seven novel findings lie in expression quantitative trait loci affecting the expression levels of 14 surrounding genes in multiple tissues. Imputed expression levels of 10 of the affected genes were associated with four corresponding lipid-related traits in at least one tissue. Our findings offer valuable insight into circulating lipid-related metabolite regulation in a multiethnic population.

%B Genetics %V 209 %P 607-616 %8 2018 Jun %G eng %N 2 %1 https://www.ncbi.nlm.nih.gov/pubmed/29610217?dopt=Abstract %R 10.1534/genetics.118.300751 %0 Journal Article %J Hum Mol Genet %D 2017 %T Whole-genome sequencing study of serum peptide levels: the Atherosclerosis Risk in Communities study. %A de Vries, Paul S %A Yu, Bing %A Feofanova, Elena V %A Metcalf, Ginger A %A Brown, Michael R %A Zeighami, Atefeh L %A Liu, Xiaoming %A Muzny, Donna M %A Gibbs, Richard A %A Boerwinkle, Eric %A Morrison, Alanna C %K Alleles %K Atherosclerosis %K Black or African American %K Exome %K Female %K Gene Frequency %K Genetic Association Studies %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Humans %K Kallikreins %K Male %K Middle Aged %K Peptides %K Polymorphism, Single Nucleotide %K Proteins %K Risk Factors %K White People %K Whole Genome Sequencing %X

Oligopeptides are important markers of protein metabolism, as they are cleaved from larger polypeptides and proteins. Genetic association studies may help elucidate their origin and function. In 1,552 European Americans and 1,872 African Americans of the Atherosclerosis Risk in Communities study, we performed whole-genome and whole-exome sequencing and measured serum levels of 25 peptides. Common variants (minor allele frequency > 5%) were analysed individually. We grouped low-frequency variants (minor allele frequency ≤ 5%) by a genome-wide sliding window using region-based aggregate tests. Furthermore, low-frequency regulatory variants were grouped by gene, as were functional coding variants. All analyses were performed separately in each ancestry group and then meta-analysed. We identified 22 common variant associations with peptide levels (P-value < 4.2 × 10-10), including 16 novel gene-peptide pairs. Notably, variants in kinin-kallikrein genes KNG1, F12, KLKB1, and ACE were associated with several different peptides. Variants in KLKB1 and ACE were associated with a fragment of complement component 3f. Both common variants and low-frequency coding variants in CPN1 were associated with a fibrinogen cleavage peptide. Four sliding windows were significantly associated with peptide levels (P-value < 4.2 × 10-10). Our results highlight the importance of the kinin-kallikrein system in the regulation of serum peptide levels, strengthen the evidence for a broad link between the kinin-kallikrein and complement systems, and suggest a role of CPN1 in the conversion of fibrinogen to fibrin.

%B Hum Mol Genet %V 26 %P 3442-3450 %8 2017 Sep 01 %G eng %N 17 %1 https://www.ncbi.nlm.nih.gov/pubmed/28854705?dopt=Abstract %R 10.1093/hmg/ddx266 %0 Journal Article %J Genome Biol %D 2016 %T Whole genome sequence analysis of serum amino acid levels. %A Yu, Bing %A de Vries, Paul S %A Metcalf, Ginger A %A Wang, Zhe %A Feofanova, Elena V %A Liu, Xiaoming %A Muzny, Donna Marie %A Wagenknecht, Lynne E %A Gibbs, Richard A %A Morrison, Alanna C %A Boerwinkle, Eric %K Adult %K Aged %K Amino Acids %K Biomarkers %K Exons %K Female %K Genome, Human %K Genome-Wide Association Study %K High-Throughput Nucleotide Sequencing %K Humans %K Male %K Middle Aged %K Nucleotide Motifs %K Polymorphism, Single Nucleotide %K Population Surveillance %K Regulatory Sequences, Nucleic Acid %X

BACKGROUND: Blood levels of amino acids are important biomarkers of disease and are influenced by synthesis, protein degradation, and gene-environment interactions. Whole genome sequence analysis of amino acid levels may establish a paradigm for analyzing quantitative risk factors.

RESULTS: In a discovery cohort of 1872 African Americans and a replication cohort of 1552 European Americans we sequenced exons and whole genomes and measured serum levels of 70 amino acids. Rare and low-frequency variants (minor allele frequency ≤5%) were analyzed by three types of aggregating motifs defined by gene exons, regulatory regions, or genome-wide sliding windows. Common variants (minor allele frequency >5%) were analyzed individually. Over all four analysis strategies, 14 gene-amino acid associations were identified and replicated. The 14 loci accounted for an average of 1.8% of the variance in amino acid levels, which ranged from 0.4 to 9.7%. Among the identified locus-amino acid pairs, four are novel and six have been reported to underlie known Mendelian conditions. These results suggest that there may be substantial genetic effects on amino acid levels in the general population that may underlie inborn errors of metabolism. We also identify a predicted promoter variant in AGA (the gene that encodes aspartylglucosaminidase) that is significantly associated with asparagine levels, with an effect that is independent of any observed coding variants.

CONCLUSIONS: These data provide insights into genetic influences on circulating amino acid levels by integrating -omic technologies in a multi-ethnic population. The results also help establish a paradigm for whole genome sequence analysis of quantitative traits.

%B Genome Biol %V 17 %P 237 %8 2016 Nov 24 %G eng %N 1 %1 https://www.ncbi.nlm.nih.gov/pubmed/27884205?dopt=Abstract %R 10.1186/s13059-016-1106-x