Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran Program
- Authors
-
- Verma, Anurag
- Huffman, Jennifer E
- Rodriguez, Alex
- Conery, Mitchell
- Liu, Molei
- Ho, Yuk-Lam
- Kim, Youngdae
- Heise, David A
- Guare, Lindsay
- Panickan, Vidul Ayakulangara
- Garcon, Helene
- Linares, Franciel
- Costa, Lauren
- Goethert, Ian
- Tipton, Ryan
- Honerlaw, Jacqueline
- Davies, Laura
- Whitbourne, Stacey
- Cohen, Jeremy
- Posner, Daniel C
- Sangar, Rahul
- Murray, Michael
- Wang, Xuan
- Dochtermann, Daniel R
- Devineni, Poornima
- Shi, Yunling
- Nandi, Tarak Nath
- Assimes, Themistocles L
- Brunette, Charles A
- Carroll, Robert J
- Clifford, Royce
- Duvall, Scott
- Gelernter, Joel
- Hung, Adriana
- Iyengar, Sudha K
- Joseph, Jacob
- Kember, Rachel
- Kranzler, Henry
- Kripke, Colleen M
- Levey, Daniel
- Luoh, Shiuh-Wen
- Merritt, Victoria C
- Overstreet, Cassie
- Deak, Joseph D
- Grant, Struan FA
- Polimanti, Renato
- Roussos, Panos
- Shakt, Gabrielle
- Sun, Yan V
- Tsao, Noah
- Venkatesh, Sanan
- Voloudakis, Georgios
- Justice, Amy
- Begoli, Edmon
- Ramoni, Rachel
- Tourassi, Georgia
- Pyarajan, Saiju
- Tsao, Philip
- 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 K
- Damrauer, Scott
- Liao, Katherine P And 51 more
- Publication Date
- Jul 19, 2024
- Source
- eScholarship - University of California
- Keywords
-
- Epidemiology
- Biological Sciences
- Health Sciences
- Genetics
- Human Genome
- 2.1 Biological And Endogenous Factors
- Mental Health
- Humans
- Male
- Genetic Predisposition To Disease
- Genetic Variation
- Genome-Wide Association Study
- Longitudinal Studies
- Polymorphism
- Single Nucleotide
- Quantitative Trait Loci
- United States
- United States Department Of Veterans Affairs
- Veterans
- Female
- General Science & Technology
- License
- Unknown
- External links
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 non-European populations. This reveals a broadly similar genetic architecture across populations, highlights genetic insights gained from underrepresented groups, and presents an extensive atlas of genetic associations.
