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