Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program

Verma, Anurag; Huffman, Jennifer E.; Rodriguez, Alex A; Conery, Mitchell; Liu, Molei; Ho, Yuk‐Lam; Kim, Youngdae; Heise, David; Guare, Lindsay; Panickan, Vidul Ayakulangara; Garcon, Helene; Linares, Franciel; Costa, Lauren; Goethert, Ian; Tipton, Ryan; Honerlaw, Jacqueline; Davies, Laura; Whitbourne, Stacey B.; Cohen, Jérémy; Posner, Daniel; Sangar, Rahul; Murray, Michael; Wang, Xuan; Dochtermann, Daniel; Devineni, Poornima; Shi, Yunling; Nandi, Tarak; Assimes, Themistocles L.; Brunette, Charles A.; Carroll, Robert J.; Clifford, Royce E.; DuVall, Scott L.; Gelernter, Joel; Hung, Adriana M.; Iyengar, Sudha K.; Joseph, Jacob; Kember, Rachel L.; Kranzler, Henry R.; Kripke, Colleen Morse; Levey, Daniel F.; Luoh, Shiuh‐Wen; Merritt, Victoria C.; Overstreet, Cassie; Deak, Joseph D.; Grant, Struan F.A.; Polimanti, Renato; Roussos, Panos; Shakt, Gabrielle; Sun, Yan V.; Tsao, Noah L.; Venkatesh, Sanan; Voloudakis, Georgios; Justice, Amy C.; Begoli, Edmon; Ramoni, Rachel; Tourassi, Georgia D.; Pyarajan, Saiju; Tsao, Philip S.; O’Donnell, Christopher J.; Muralidhar, Sumitra; Moser, Jennifer; Casas, Juan P.; Bick, Alexander G.; Zhou, Wei; Cai, Tianxi; Voight, Benjamin F.; Cho, Kelly; Gaziano, J. Michael; Madduri, Ravi; Damrauer, Scott M.; Liao, Katherine P.

doi:10.1126/science.adj1182

articleScienceJul 18, 2024GREEN OA

Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program

AVAnurag Verma JEJennifer E. Huffman AAAlex A Rodriguez MCMitchell Conery MLMolei Liu

Translational Therapeutics (United States) · Philadelphia VA Medical Center · +35 more institutions

PubMed

Indexed incrossrefpubmed

Abstract

One of the justifiable criticisms of human genetic studies is the underrepresentation of participants from diverse populations. Lack of inclusion must be addressed at-scale to identify causal disease factors and understand the genetic causes of health disparities. We present genome-wide associations for 2068 traits from 635,969 participants in the Department of Veterans Affairs Million Veteran Program, a longitudinal study of diverse United States Veterans. Systematic analysis revealed 13,672 genomic risk loci; 1608 were only significant after including non-European populations. Fine-mapping identified causal variants at 6318 signals across 613 traits. One-third ( n = 2069) were identified in participants from…

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Topics & keywords

Topics

Keywords

Genetic architecture
Genome-wide association study
Genetic diversity
Diversity (politics)
Scale (ratio)
Biology
Evolutionary biology
Genetics

UN Sustainable Development Goals

Reduced inequalities

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