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The trans-ancestral genomic architecture of glycemic traits

Title: The trans-ancestral genomic architecture of glycemic traits
Authors: J Chen; CN Spracklen; G Marenne; A Varshney; LJ Corbin; J Luan; SM Willems; Y Wu; X Zhang; M Horikoshi; TS Boutin; R Mägi; J Waage; R Li-Gao; KHK Chan; J Yao; MD Anasanti; AY Chu; A Claringbould; J Heikkinen; J Hong; J-J Hottenga; S Huo; MA Kaakinen; T Louie; W März; H Moreno-Macias; A Ndungu; SC Nelson; IM Nolte; KE North; CK Raulerson; D Ray; R Rohde; D Rybin; C Schurmann; X Sim; L Southam; ID Stewart; CA Wang; Y Wang; P Wu; W Zhang; TS Ahluwalia; EVR Appel; LF Bielak; JA Brody; NP Burtt; CP Cabrera; BE Cade; JF Chai; X Chai; L-C Chang; C-H Chen; BH Chen; KN Chitrala; Y-F Chiu; HG de Haan; GE Delgado; A Demirkan; Q Duan; J Engmann; SA Fatumo; J Gayán; F Giulianini; JH Gong; S Gustafsson; Y Hai; FP Hartwig; J He; Y Heianza; T Huang; A Huerta-Chagoya; MY Hwang; RA Jensen; T Kawaguchi; KA Kentistou; YJ Kim; ME Kleber; IK Kooner; S Lai; LA Lange; CD Langefeld; M Lauzon; M Li; S Ligthart; J Liu; M Loh; J Long; V Lyssenko; M Mangino; C Marzi; ME Montasser; A Nag; M Nakatochi; D Noce; R Noordam; G Pistis; M Preuss; L Raffield; LJ Rasmussen-Torvik; SS Rich; NR Robertson; R Rueedi; K Ryan; S Sanna; R Saxena; KE Schraut; B Sennblad; K Setoh; AV Smith; T Sparsø; RJ Strawbridge; F Takeuchi; J Tan; S Trompet; E van den Akker; PJ van der Most; N Verweij; M Vogel; H Wang; C Wang; N Wang; HR Warren; W Wen; T Wilsgaard; A Wong; AR Wood; T Xie; MH Zafarmand; J-H Zhao; W Zhao; N Amin; Z Arzumanyan; A Astrup; SJL Bakker; D Baldassarre; M Beekman; RN Bergman; A Bertoni; M Blüher; LL Bonnycastle; SR Bornstein; DW Bowden; Q Cai; A Campbell; H Campbell; YC Chang; EJC de Geus; A Dehghan; S Du; G Eiriksdottir; AE Farmaki; M Frånberg; C Fuchsberger; Y Gao; AP Gjesing; A Goel; S Han; CA Hartman; C Herder; AA Hicks; C-H Hsieh; WA Hsueh; S Ichihara; M Igase; MA Ikram; WC Johnson; ME Jørgensen; PK Joshi; RR Kalyani; FR Kandeel; T Katsuya; CC Khor; W Kiess; I Kolcic; T Kuulasmaa; J Kuusisto; K Läll; K Lam; DA Lawlor; NR Lee; RN Lemaitre; H Li; Lifelines Cohort Study; S-Y Lin; J Lindström; A Linneberg; C Lorenzo; T Matsubara; F Matsuda; G Mingrone; S Mooijaart; S Moon; T Nabika; GN Nadkarni; JL Nadler; M Nelis; MJ Neville; JM Norris; Y Ohyagi; A Peters; PA Peyser; O Polasek; Q Qi; D Raven; DF Reilly; A Reiner; F Rivideneira; K Roll; I Rudan; C Sabanayagam; K Sandow; N Sattar; A Schürmann; J Shi; HM Stringham; KD Taylor; TM Teslovich; B Thuesen; PRHJ Timmers; E Tremoli; MY Tsai; A Uitterlinden; RM van Dam; D van Heemst; A van Hylckama Vlieg; JV van Vliet-Ostaptchouk; J Vangipurapu; H Vestergaard; T Wang; K Willems van Dijk; T Zemunik; GR Abecasis; LS Adair; CA Aguilar-Salinas; ME Alarcón-Riquelme; P An; L Aviles-Santa; DM Becker; LJ Beilin; S Bergmann; H Bisgaard; C Black; M Boehnke; E Boerwinkle; BO Böhm; K Bønnelykke; DI Boomsma; EP Bottinger; TA Buchanan; M Canouil; MJ Caulfield; JC Chambers; DI Chasman; Y-DI Chen; C-Y Cheng; FS Collins; A Correa; F Cucca; HJ de Silva; G Dedoussis; S Elmståhl; MK Evans; E Ferrannini; L Ferrucci; JC Florez; PW Franks; TM Frayling; P Froguel; B Gigante; MO Goodarzi; P Gordon-Larsen; H Grallert; N Grarup; S Grimsgaard; L Groop; V Gudnason; X Guo; A Hamsten; T Hansen; C Hayward; SR Heckbert; BL Horta; W Huang; E Ingelsson; PS James; M-R Jarvelin; JB Jonas; JW Jukema; P Kaleebu; R Kaplan; SLR Kardia; N Kato; SM Keinanen-Kiukaanniemi; B-J Kim; M Kivimaki; HA Koistinen; JS Kooner; A Körner; P Kovacs; D Kuh; M Kumari; Z Kutalik; M Laakso; TA Lakka; LJ Launer; K Leander; X Lin; L Lind; C Lindgren; S Liu; RJF Loos; PKE Magnusson; A Mahajan; A Metspalu; DO Mook-Kanamori; TA Mori; PB Munroe; I Njølstad; JR O'Connell; AJ Oldehinkel; KK Ong; S Padmanabhan; CNA Palmer; ND Palmer; O Pedersen; CE Pennell; DJ Porteous; PP Pramstaller; MA Province; BM Psaty; L Qi; LJ Raffel; R Rauramaa; S Redline; PM Ridker; FR Rosendaal; TE Saaristo; M Sandhu; J Saramies; N Schneiderman; P Schwarz; LJ Scott; E Selvin; P Sever; X-O Shu; PE Slagboom; KS Small; BH Smith; H Snieder; T Sofer; TIA Sørensen; TD Spector; A Stanton; CJ Steves; M Stumvoll; L Sun; Y Tabara; ES Tai; NJ Timpson; A Tönjes; J Tuomilehto; T Tusie; M Uusitupa; P van der Harst; C van Duijn; V Vitart; P Vollenweider; TGM Vrijkotte; LE Wagenknecht; M Walker; YX Wang; NJ Wareham; RM Watanabe; H Watkins; WB Wei; AR Wickremasinghe; G Willemsen; JF Wilson; T-Y Wong; J-Y Wu; AH Xiang; LR Yanek; L Yengo; M Yokota; E Zeggini; W Zheng; AB Zonderman; JI Rotter; AL Gloyn; MI McCarthy; J Dupuis; JB Meigs; RA Scott; I Prokopenko; A Leong; C-T Liu; SCJ Parker; KL Mohlke; C Langenberg; E Wheeler; AP Morris; I Barroso; Meta-Analysis of Glucose and Insulin-related Traits Consortium
Publication Year: 2021
Collection: Erasmus University Rotterdam (EUR): Figshare
Subject Terms: No keyword
Description: Glycemic traits are used to diagnose and monitor type 2 diabetes and cardiometabolic health. To date, most genetic studies of glycemic traits have focused on individuals of European ancestry. Here we aggregated genome-wide association studies comprising up to 281,416 individuals without diabetes (30% non-European ancestry) for whom fasting glucose, 2-h glucose after an oral glucose challenge, glycated hemoglobin and fasting insulin data were available. Trans-ancestry and single-ancestry meta-analyses identified 242 loci (99 novel; P < 5 × 10-8), 80% of which had no significant evidence of between-ancestry heterogeneity. Analyses restricted to individuals of European ancestry with equivalent sample size would have led to 24 fewer new loci. Compared with single-ancestry analyses, equivalent-sized trans-ancestry fine-mapping reduced the number of estimated variants in 99% credible sets by a median of 37.5%. Genomic-feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways. Our results increase our understanding of diabetes pathophysiology by using trans-ancestry studies for improved power and resolution.
Document Type: article in journal/newspaper
Language: unknown
Relation: 10871/125997
Availability: https://figshare.com/articles/journal_contribution/The_trans-ancestral_genomic_architecture_of_glycemic_traits/29779886
Rights: All rights reserved
Accession Number: edsbas.943D43C2
Database: BASE