%0 Journal Article %J Nature %D 2021 %T Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program. %A Taliun, Daniel %A Harris, Daniel N %A Kessler, Michael D %A Carlson, Jedidiah %A Szpiech, Zachary A %A Torres, Raul %A Taliun, Sarah A Gagliano %A Corvelo, André %A Gogarten, Stephanie M %A Kang, Hyun Min %A Pitsillides, Achilleas N %A LeFaive, Jonathon %A Lee, Seung-Been %A Tian, Xiaowen %A Browning, Brian L %A Das, Sayantan %A Emde, Anne-Katrin %A Clarke, Wayne E %A Loesch, Douglas P %A Shetty, Amol C %A Blackwell, Thomas W %A Smith, Albert V %A Wong, Quenna %A Liu, Xiaoming %A Conomos, Matthew P %A Bobo, Dean M %A Aguet, Francois %A Albert, Christine %A Alonso, Alvaro %A Ardlie, Kristin G %A Arking, Dan E %A Aslibekyan, Stella %A Auer, Paul L %A Barnard, John %A Barr, R Graham %A Barwick, Lucas %A Becker, Lewis C %A Beer, Rebecca L %A Benjamin, Emelia J %A Bielak, Lawrence F %A Blangero, John %A Boehnke, Michael %A Bowden, Donald W %A Brody, Jennifer A %A Burchard, Esteban G %A Cade, Brian E %A Casella, James F %A Chalazan, Brandon %A Chasman, Daniel I %A Chen, Yii-Der Ida %A Cho, Michael H %A Choi, Seung Hoan %A Chung, Mina K %A Clish, Clary B %A Correa, Adolfo %A Curran, Joanne E %A Custer, Brian %A Darbar, Dawood %A Daya, Michelle %A de Andrade, Mariza %A DeMeo, Dawn L %A Dutcher, Susan K %A Ellinor, Patrick T %A Emery, Leslie S %A Eng, Celeste %A Fatkin, Diane %A Fingerlin, Tasha %A Forer, Lukas %A Fornage, Myriam %A Franceschini, Nora %A Fuchsberger, Christian %A Fullerton, Stephanie M %A Germer, Soren %A Gladwin, Mark T %A Gottlieb, Daniel J %A Guo, Xiuqing %A Hall, Michael E %A He, Jiang %A Heard-Costa, Nancy L %A Heckbert, Susan R %A Irvin, Marguerite R %A Johnsen, Jill M %A Johnson, Andrew D %A Kaplan, Robert %A Kardia, Sharon L R %A Kelly, Tanika %A Kelly, Shannon %A Kenny, Eimear E %A Kiel, Douglas P %A Klemmer, Robert %A Konkle, Barbara A %A Kooperberg, Charles %A Köttgen, Anna %A Lange, Leslie A %A Lasky-Su, Jessica %A Levy, Daniel %A Lin, Xihong %A Lin, Keng-Han %A Liu, Chunyu %A Loos, Ruth J F %A Garman, Lori %A Gerszten, Robert %A Lubitz, Steven A %A Lunetta, Kathryn L %A Mak, Angel C Y %A Manichaikul, Ani %A Manning, Alisa K %A Mathias, Rasika A %A McManus, David D %A McGarvey, Stephen T %A Meigs, James B %A Meyers, Deborah A %A Mikulla, Julie L %A Minear, Mollie A %A Mitchell, Braxton D %A Mohanty, Sanghamitra %A Montasser, May E %A Montgomery, Courtney %A Morrison, Alanna C %A Murabito, Joanne M %A Natale, Andrea %A Natarajan, Pradeep %A Nelson, Sarah C %A North, Kari E %A O'Connell, Jeffrey R %A Palmer, Nicholette D %A Pankratz, Nathan %A Peloso, Gina M %A Peyser, Patricia A %A Pleiness, Jacob %A Post, Wendy S %A Psaty, Bruce M %A Rao, D C %A Redline, Susan %A Reiner, Alexander P %A Roden, Dan %A Rotter, Jerome I %A Ruczinski, Ingo %A Sarnowski, Chloe %A Schoenherr, Sebastian %A Schwartz, David A %A Seo, Jeong-Sun %A Seshadri, Sudha %A Sheehan, Vivien A %A Sheu, Wayne H %A Shoemaker, M Benjamin %A Smith, Nicholas L %A Smith, Jennifer A %A Sotoodehnia, Nona %A Stilp, Adrienne M %A Tang, Weihong %A Taylor, Kent D %A Telen, Marilyn %A Thornton, Timothy A %A Tracy, Russell P %A Van Den Berg, David J %A Vasan, Ramachandran S %A Viaud-Martinez, Karine A %A Vrieze, Scott %A Weeks, Daniel E %A Weir, Bruce S %A Weiss, Scott T %A Weng, Lu-Chen %A Willer, Cristen J %A Zhang, Yingze %A Zhao, Xutong %A Arnett, Donna K %A Ashley-Koch, Allison E %A Barnes, Kathleen C %A Eric Boerwinkle %A Gabriel, Stacey %A Richard A Gibbs %A Rice, Kenneth M %A Rich, Stephen S %A Silverman, Edwin K %A Qasba, Pankaj %A Gan, Weiniu %A Papanicolaou, George J %A Nickerson, Deborah A %A Browning, Sharon R %A Zody, Michael C %A Zöllner, Sebastian %A Wilson, James G %A Cupples, L Adrienne %A Laurie, Cathy C %A Jaquish, Cashell E %A Hernandez, Ryan D %A O'Connor, Timothy D %A Abecasis, Gonçalo R %K Cytochrome P-450 CYP2D6 %K Genetic Variation %K Genome, Human %K Genomics %K Haplotypes %K Heterozygote %K Humans %K INDEL Mutation %K Loss of Function Mutation %K Mutagenesis %K National Heart, Lung, and Blood Institute (U.S.) %K Phenotype %K Polymorphism, Single Nucleotide %K Population Density %K Precision Medicine %K Quality Control %K Sample Size %K United States %K Whole Genome Sequencing %X

The Trans-Omics for Precision Medicine (TOPMed) programme seeks to elucidate the genetic architecture and biology of heart, lung, blood and sleep disorders, with the ultimate goal of improving diagnosis, treatment and prevention of these diseases. The initial phases of the programme focused on whole-genome sequencing of individuals with rich phenotypic data and diverse backgrounds. Here we describe the TOPMed goals and design as well as the available resources and early insights obtained from the sequence data. The resources include a variant browser, a genotype imputation server, and genomic and phenotypic data that are available through dbGaP (Database of Genotypes and Phenotypes). In the first 53,831 TOPMed samples, we detected more than 400 million single-nucleotide and insertion or deletion variants after alignment with the reference genome. Additional previously undescribed variants were detected through assembly of unmapped reads and customized analysis in highly variable loci. Among the more than 400 million detected variants, 97% have frequencies of less than 1% and 46% are singletons that are present in only one individual (53% among unrelated individuals). These rare variants provide insights into mutational processes and recent human evolutionary history. The extensive catalogue of genetic variation in TOPMed studies provides unique opportunities for exploring the contributions of rare and noncoding sequence variants to phenotypic variation. Furthermore, combining TOPMed haplotypes with modern imputation methods improves the power and reach of genome-wide association studies to include variants down to a frequency of approximately 0.01%.

%B Nature %V 590 %P 290-299 %8 2021 Feb %G eng %N 7845 %1 https://www.ncbi.nlm.nih.gov/pubmed/33568819?dopt=Abstract %R 10.1038/s41586-021-03205-y %0 Journal Article %J Nat Commun %D 2020 %T Whole genome sequence analysis of pulmonary function and COPD in 19,996 multi-ethnic participants. %A Zhao, Xutong %A Qiao, Dandi %A Yang, Chaojie %A Kasela, Silva %A Kim, Wonji %A Ma, Yanlin %A Shrine, Nick %A Batini, Chiara %A Sofer, Tamar %A Taliun, Sarah A Gagliano %A Sakornsakolpat, Phuwanat %A Balte, Pallavi P %A Prokopenko, Dmitry %A Yu, Bing %A Lange, Leslie A %A Dupuis, Josée %A Cade, Brian E %A Lee, Jiwon %A Gharib, Sina A %A Daya, Michelle %A Laurie, Cecelia A %A Ruczinski, Ingo %A Cupples, L Adrienne %A Loehr, Laura R %A Bartz, Traci M %A Morrison, Alanna C %A Psaty, Bruce M %A Vasan, Ramachandran S %A Wilson, James G %A Taylor, Kent D %A Durda, Peter %A Johnson, W Craig %A Cornell, Elaine %A Guo, Xiuqing %A Liu, Yongmei %A Tracy, Russell P %A Ardlie, Kristin G %A Aguet, Francois %A VanDenBerg, David J %A Papanicolaou, George J %A Rotter, Jerome I %A Barnes, Kathleen C %A Jain, Deepti %A Nickerson, Deborah A %A Donna M Muzny %A Ginger A Metcalf %A Harshavardhan Doddapaneni %A Dugan-Perez, Shannon %A Gupta, Namrata %A Gabriel, Stacey %A Rich, Stephen S %A O'Connor, George T %A Redline, Susan %A Reed, Robert M %A Laurie, Cathy C %A Daviglus, Martha L %A Preudhomme, Liana K %A Burkart, Kristin M %A Kaplan, Robert C %A Wain, Louise V %A Tobin, Martin D %A London, Stephanie J %A Lappalainen, Tuuli %A Oelsner, Elizabeth C %A Abecasis, Gonçalo R %A Silverman, Edwin K %A Barr, R Graham %A Cho, Michael H %A Manichaikul, Ani %K Adult %K Aged %K Aged, 80 and over %K Alpha-Ketoglutarate-Dependent Dioxygenase FTO %K Black or African American %K Calcium-Binding Proteins %K Feasibility Studies %K Female %K Follow-Up Studies %K Genetic Loci %K Genetic Predisposition to Disease %K Genome-Wide Association Study %K Humans %K Intracellular Signaling Peptides and Proteins %K Lung %K Male %K Middle Aged %K Polymorphism, Single Nucleotide %K Protein Inhibitors of Activated STAT %K Pulmonary Disease, Chronic Obstructive %K Respiratory Physiological Phenomena %K Small Ubiquitin-Related Modifier Proteins %K Whole Genome Sequencing %X

Chronic obstructive pulmonary disease (COPD), diagnosed by reduced lung function, is a leading cause of morbidity and mortality. We performed whole genome sequence (WGS) analysis of lung function and COPD in a multi-ethnic sample of 11,497 participants from population- and family-based studies, and 8499 individuals from COPD-enriched studies in the NHLBI Trans-Omics for Precision Medicine (TOPMed) Program. We identify at genome-wide significance 10 known GWAS loci and 22 distinct, previously unreported loci, including two common variant signals from stratified analysis of African Americans. Four novel common variants within the regions of PIAS1, RGN (two variants) and FTO show evidence of replication in the UK Biobank (European ancestry n ~ 320,000), while colocalization analyses leveraging multi-omic data from GTEx and TOPMed identify potential molecular mechanisms underlying four of the 22 novel loci. Our study demonstrates the value of performing WGS analyses and multi-omic follow-up in cohorts of diverse ancestry.

%B Nat Commun %V 11 %P 5182 %8 2020 Oct 14 %G eng %N 1 %1 https://www.ncbi.nlm.nih.gov/pubmed/33057025?dopt=Abstract %R 10.1038/s41467-020-18334-7