{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Vujkovic M"],"funding":["BLRD VA","NIDDK NIH HHS","NIEHS NIH HHS","NIAID NIH HHS","Medical Research Council","NHLBI NIH HHS","NHGRI NIH HHS","CSRD VA"],"pagination":["680-691"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7343592"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["52(7)"],"pubmed_abstract":["We investigated type 2 diabetes (T2D) genetic susceptibility via multi-ancestry meta-analysis of 228,499 cases and 1,178,783 controls in the Million Veteran Program (MVP), DIAMANTE, Biobank Japan and other studies. We report 568 associations, including 286 autosomal, 7 X-chromosomal and 25 identified in ancestry-specific analyses that were previously unreported. Transcriptome-wide association analysis detected 3,568 T2D associations with genetically predicted gene expression in 687 novel genes; of these, 54 are known to interact with FDA-approved drugs. A polygenic risk score (PRS) was strongly associated with increased risk of T2D-related retinopathy and modestly associated with chronic kidney disease (CKD), peripheral artery disease (PAD) and neuropathy. We investigated the genetic etiol"],"journal":["Nature genetics"],"pubmed_title":["Discovery of 318 new risk loci for type 2 diabetes and related vascular outcomes among 1.4 million participants in a multi-ancestry meta-analysis."],"pmcid":["PMC7343592"],"funding_grant_id":["R03 AI133172","R01 DK087635","T32 HL007734","IK2 CX001780","I01 CX001737","P30 DK111024","R01 HG010067","HDR-9004","U34 DK091958","R56 DK101478","I01 CX001025","I01 BX004821","U01 DK098246","I01 BX003362","R01 DK101478","UM1 DK078616","R21 DK099716","P30 DK123704","UC4 DK112217","P30 ES006694"],"pubmed_authors":["Huang GD","Miller DR","Aguayo SM","Melander O","Wolf SE","Greco JA","Vujkovic M","Whitbourne SB","Lynch JA","Baras A","Blumenfeld AL","Damrauer SM","HPAP Consortium","Chang KM","Iruvanti PR","Argyres DP","Gutierrez S","Connor T","Widom L","Kinlay S","Dellitalia LJ","Reaven PD","Hauser ER","Godschalk M","DuVall SL","Moser J","Humphries DE","Brewer JV","Mallick NH","Edwards TL","Sharma SC","Xu J","Lichy JH","Whooley MA","Beckham JC","Morgan TR","Sonel E","Jalal A","Wells JM","Mathew RO","Gibson G","Huq M","Voight BF","Ivins DJ","Hung AM","Moorman JP","Huffman JE","Meigs JB","Eom G","Liangpunsakul S","Hameed S","Fernando RS","Rauchman MI","Ratcliffe NR","Naji A","Stapley T","Lotta LA","Tandon N","Jones MB","Nguyen XT","Zhou J","Zhao H","Maxwell EK","Rasheed A","Manoochehri K","Robey RB","Striker RT","Gupta S","Forsythe C","Balasubramanian S","Klarin D","Fuller ED","Sriram P","Bai X","Yadav A","Wallbom AS","Regeneron Genetics Center","Jhala DN","Murdoch M","Keaton JM","Lee KM","Atkinson MA","Cohen DM","Zhu X","Barnard L","Florez HJ","Meyer LJ","Staples JC","Huang J","Qureshi IH","VA Million Veteran Program","Abecasis GR","Toledo K","Powers AC","Coppola G","Stephens B","Hammer KD","Lee JS","Breeling JL","Kaestner KH","Hurley RA","Economides AN","Mattocks KM","Gaddy MA","Kaminsky LS","Mastorides SM","Afzal MN","Villareal G","Sheng X","Tsao PS","Lattari M","Aslan M","Habegger L","Shuldiner AR","Whittle JC","Brophy MT","Pradhan M","Do NV","Jacono FJ","Padilla MS","Ulloa RH","Gao L","Assimes TL","Sherman SE","Hamner MB","Rader DJ","Ross GW","Susztak K","Wilson PW","Phillips LS","Boyko EJ","Okusaga OO","Overton JD","Ramoni RB","Muralidhar S","Pyarajan S","Hawes A","Ahuja SK","Ballas ZK","Cantor MN","Gappy SS","Concato J","Servatius RJ","Romero JPC","Sun YV","Cho K","Schleicher TD","Danesh J","Tcheandjieu C","Harley JB","Selva LE","Mitnaul LJ","Yeh SS","Salerno WJ","Khalid S","Reid JG","Constans JI","Klein JB","Abbas S","Malik U","O'Donnell CJ","Beechert C","Gu Z","Shayan S","Fayad JM","Hilliard AT","Lopez AE","McArdle R","Lorenz K","Judy RL","Bhushan S","Saleheen D","Gaziano JM","Oursler KK","Meyer PN"],"additional_accession":[]},"is_claimable":false,"name":"Discovery of 318 new risk loci for type 2 diabetes and related vascular outcomes among 1.4 million participants in a multi-ancestry meta-analysis.","description":"We investigated type 2 diabetes (T2D) genetic susceptibility via multi-ancestry meta-analysis of 228,499 cases and 1,178,783 controls in the Million Veteran Program (MVP), DIAMANTE, Biobank Japan and other studies. We report 568 associations, including 286 autosomal, 7 X-chromosomal and 25 identified in ancestry-specific analyses that were previously unreported. Transcriptome-wide association analysis detected 3,568 T2D associations with genetically predicted gene expression in 687 novel genes; of these, 54 are known to interact with FDA-approved drugs. A polygenic risk score (PRS) was strongly associated with increased risk of T2D-related retinopathy and modestly associated with chronic kidney disease (CKD), peripheral artery disease (PAD) and neuropathy. We investigated the genetic etiol","dates":{"release":"2020-01-01T00:00:00Z","publication":"2020 Jul","modification":"2026-05-03T08:14:36.75Z","creation":"2021-02-20T11:33:09Z"},"accession":"S-EPMC7343592","cross_references":{"pubmed":["32541925"],"doi":["10.1038/s41588-020-0637-y"]}}