Ontology highlight
ABSTRACT:
SUBMITTER: Verma A
PROVIDER: S-EPMC10327290 | biostudies-literature | 2023 Jun
REPOSITORIES: biostudies-literature
Verma Anurag A Huffman Jennifer E JE Rodriguez Alex A Conery Mitchell M Liu Molei M Ho Yuk-Lam YL Kim Youngdae Y Heise David A DA Guare Lindsay L Panickan Vidul Ayakulangara VA Garcon Helene H Linares Franciel F Costa Lauren L Goethert Ian I Tipton Ryan R Honerlaw Jacqueline J Davies Laura L Whitbourne Stacey S Cohen Jeremy J Posner Daniel C DC Sangar Rahul R Murray Michael M Wang Xuan X Dochtermann Daniel R DR Devineni Poornima P Shi Yunling Y Nandi Tarak Nath TN Assimes Themistocles L TL Brunette Charles A CA Carroll Robert J RJ Clifford Royce R Duvall Scott S Gelernter Joel J Hung Adriana A Iyengar Sudha K SK Joseph Jacob J Kember Rachel R Kranzler Henry H Levey Daniel D Luoh Shiuh-Wen SW Merritt Victoria C VC Overstreet Cassie C Deak Joseph D JD Grant Struan F A SFA Polimanti Renato R Roussos Panos P Sun Yan V YV Venkatesh Sanan S Voloudakis Georgios G Justice Amy A Begoli Edmon E Ramoni Rachel R Tourassi Georgia G Pyarajan Saiju S Tsao Philip S PS O'Donnell Christopher J CJ Muralidhar Sumitra S Moser Jennifer J Casas Juan P JP Bick Alexander G AG Zhou Wei W Cai Tianxi T Voight Benjamin F BF Cho Kelly K Gaziano Michael J MJ Madduri Ravi K RK Damrauer Scott M SM Liao Katherine P KP
medRxiv : the preprint server for health sciences 20230629
Genome-wide association studies (GWAS) have underrepresented individuals from non-European populations, impeding progress in characterizing the genetic architecture and consequences of health and disease traits. To address this, we present a population-stratified phenome-wide GWAS followed by a multi-population meta-analysis for 2,068 traits derived from electronic health records of 635,969 participants in the Million Veteran Program (MVP), a longitudinal cohort study of diverse U.S. Veterans ge ...[more]