The trans-ancestral genomic architecture of glycemic traits.
The trans-ancestral genomic architecture of glycemic traits.
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DOI:
10.1038/s41588-021-00852-9
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发表时间:
2021-06
期刊:
影响因子:
30.8
通讯作者:
Meta-Analysis of Glucose and Insulin-related Traits Consortium (MAGIC)
中科院分区:
文献类型:
--
作者:
Chen J;Spracklen CN;Marenne G;Varshney A;Corbin LJ;Luan J;Willems SM;Wu Y;Zhang X;Horikoshi M;Boutin TS;Mägi R;Waage J;Li-Gao R;Chan KHK;Yao J;Anasanti MD;Chu AY;Claringbould A;Heikkinen J;Hong J;Hottenga JJ;Huo S;Kaakinen MA;Louie T;März W;Moreno-Macias H;Ndungu A;Nelson SC;Nolte IM;North KE;Raulerson CK;Ray D;Rohde R;Rybin D;Schurmann C;Sim X;Southam L;Stewart ID;Wang CA;Wang Y;Wu P;Zhang W;Ahluwalia TS;Appel EVR;Bielak LF;Brody JA;Burtt NP;Cabrera CP;Cade BE;Chai JF;Chai X;Chang LC;Chen CH;Chen BH;Chitrala KN;Chiu YF;de Haan HG;Delgado GE;Demirkan A;Duan Q;Engmann J;Fatumo SA;Gayán J;Giulianini F;Gong JH;Gustafsson S;Hai Y;Hartwig FP;He J;Heianza Y;Huang T;Huerta-Chagoya A;Hwang MY;Jensen RA;Kawaguchi T;Kentistou KA;Kim YJ;Kleber ME;Kooner IK;Lai S;Lange LA;Langefeld CD;Lauzon M;Li M;Ligthart S;Liu J;Loh M;Long J;Lyssenko V;Mangino M;Marzi C;Montasser ME;Nag A;Nakatochi M;Noce D;Noordam R;Pistis G;Preuss M;Raffield L;Rasmussen-Torvik LJ;Rich SS;Robertson NR;Rueedi R;Ryan K;Sanna S;Saxena R;Schraut KE;Sennblad B;Setoh K;Smith AV;Sparsø T;Strawbridge RJ;Takeuchi F;Tan J;Trompet S;van den Akker E;van der Most PJ;Verweij N;Vogel M;Wang H;Wang C;Wang N;Warren HR;Wen W;Wilsgaard T;Wong A;Wood AR;Xie T;Zafarmand MH;Zhao JH;Zhao W;Amin N;Arzumanyan Z;Astrup A;Bakker SJL;Baldassarre D;Beekman M;Bergman RN;Bertoni A;Blüher M;Bonnycastle LL;Bornstein SR;Bowden DW;Cai Q;Campbell A;Campbell H;Chang YC;de Geus EJC;Dehghan A;Du S;Eiriksdottir G;Farmaki AE;Frånberg M;Fuchsberger C;Gao Y;Gjesing AP;Goel A;Han S;Hartman CA;Herder C;Hicks AA;Hsieh CH;Hsueh WA;Ichihara S;Igase M;Ikram MA;Johnson WC;Jørgensen ME;Joshi PK;Kalyani RR;Kandeel FR;Katsuya T;Khor CC;Kiess W;Kolcic I;Kuulasmaa T;Kuusisto J;Läll K;Lam K;Lawlor DA;Lee NR;Lemaitre RN;Li H;Lifelines Cohort Study;Lin SY;Lindström J;Linneberg A;Liu J;Lorenzo C;Matsubara T;Matsuda F;Mingrone G;Mooijaart S;Moon S;Nabika T;Nadkarni GN;Nadler JL;Nelis M;Neville MJ;Norris JM;Ohyagi Y;Peters A;Peyser PA;Polasek O;Qi Q;Raven D;Reilly DF;Reiner A;Rivideneira F;Roll K;Rudan I;Sabanayagam C;Sandow K;Sattar N;Schürmann A;Shi J;Stringham HM;Taylor KD;Teslovich TM;Thuesen B;Timmers PRHJ;Tremoli E;Tsai MY;Uitterlinden A;van Dam RM;van Heemst D;van Hylckama Vlieg A;van Vliet-Ostaptchouk JV;Vangipurapu J;Vestergaard H;Wang T;Willems van Dijk K;Zemunik T;Abecasis GR;Adair LS;Aguilar-Salinas CA;Alarcón-Riquelme ME;An P;Aviles-Santa L;Becker DM;Beilin LJ;Bergmann S;Bisgaard H;Black C;Boehnke M;Boerwinkle E;Böhm BO;Bønnelykke K;Boomsma DI;Bottinger EP;Buchanan TA;Canouil M;Caulfield MJ;Chambers JC;Chasman DI;Chen YI;Cheng CY;Collins FS;Correa A;Cucca F;de Silva HJ;Dedoussis G;Elmståhl S;Evans MK;Ferrannini E;Ferrucci L;Florez JC;Franks PW;Frayling TM;Froguel P;Gigante B;Goodarzi MO;Gordon-Larsen P;Grallert H;Grarup N;Grimsgaard S;Groop L;Gudnason V;Guo X;Hamsten A;Hansen T;Hayward C;Heckbert SR;Horta BL;Huang W;Ingelsson E;James PS;Jarvelin MR;Jonas JB;Jukema JW;Kaleebu P;Kaplan R;Kardia SLR;Kato N;Keinanen-Kiukaanniemi SM;Kim BJ;Kivimaki M;Koistinen HA;Kooner JS;Körner A;Kovacs P;Kuh D;Kumari M;Kutalik Z;Laakso M;Lakka TA;Launer LJ;Leander K;Li H;Lin X;Lind L;Lindgren C;Liu S;Loos RJF;Magnusson PKE;Mahajan A;Metspalu A;Mook-Kanamori DO;Mori TA;Munroe PB;Njølstad I;O'Connell JR;Oldehinkel AJ;Ong KK;Padmanabhan S;Palmer CNA;Palmer ND;Pedersen O;Pennell CE;Porteous DJ;Pramstaller PP;Province MA;Psaty BM;Qi L;Raffel LJ;Rauramaa R;Redline S;Ridker PM;Rosendaal FR;Saaristo TE;Sandhu M;Saramies J;Schneiderman N;Schwarz P;Scott LJ;Selvin E;Sever P;Shu XO;Slagboom PE;Small KS;Smith BH;Snieder H;Sofer T;Sørensen TIA;Spector TD;Stanton A;Steves CJ;Stumvoll M;Sun L;Tabara Y;Tai ES;Timpson NJ;Tönjes A;Tuomilehto J;Tusie T;Uusitupa M;van der Harst P;van Duijn C;Vitart V;Vollenweider P;Vrijkotte TGM;Wagenknecht LE;Walker M;Wang YX;Wareham NJ;Watanabe RM;Watkins H;Wei WB;Wickremasinghe AR;Willemsen G;Wilson JF;Wong TY;Wu JY;Xiang AH;Yanek LR;Yengo L;Yokota M;Zeggini E;Zheng W;Zonderman AB;Rotter JI;Gloyn AL;McCarthy MI;Dupuis J;Meigs JB;Scott RA;Prokopenko I;Leong A;Liu CT;Parker SCJ;Mohlke KL;Langenberg C;Wheeler E;Morris AP;Barroso I;Meta-Analysis of Glucose and Insulin-related Traits Consortium (MAGIC)
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 in up to 281,416 individuals without diabetes (30% non-European ancestry) with fasting glucose, 2h-glucose post-challenge, glycated hemoglobin, and fasting insulin data. Trans-ancestry and single-ancestry meta-analyses identified 242 loci (99 novel; P<5x10-8), 80% with no significant evidence of between-ancestry heterogeneity. Analyses restricted to European ancestry individuals with equivalent sample size would have led to 24 fewer new loci. Compared to single-ancestry, 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 understanding of diabetes pathophysiology by use of trans-ancestry studies for improved power and resolution.
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影响因子:
64.8
作者:
Ernst, Jason;Kheradpour, Pouya;Mikkelsen, Tarjei S.;Shoresh, Noam;Ward, Lucas D.;Epstein, Charles B.;Zhang, Xiaolan;Wang, Li;Issner, Robbyn;Coyne, Michael;Ku, Manching;Durham, Timothy;Kellis, Manolis;Bernstein, Bradley E.
通讯作者:
Bernstein, Bradley E.
影响因子:
64.8
作者:
GTEx Consortium;Laboratory, Data Analysis &Coordinating Center (LDACC)—Analysis Working Group;Statistical Methods groups—Analysis Working Group;Enhancing GTEx (eGTEx) groups;NIH Common Fund;NIH/NCI;NIH/NHGRI;NIH/NIMH;NIH/NIDA;Biospecimen Collection Source Site—NDRI;Biospecimen Collection Source Site—RPCI;Biospecimen Core Resource—VARI;Brain Bank Repository—University of Miami Brain Endowment Bank;Leidos Biomedical—Project Management;ELSI Study;Genome Browser Data Integration &Visualization—EBI;Genome Browser Data Integration &Visualization—UCSC Genomics Institute, University of California Santa Cruz;Lead analysts:;Laboratory, Data Analysis &Coordinating Center (LDACC):;NIH program management:;Biospecimen collection:;Pathology:;eQTL manuscript working group:;Battle A;Brown CD;Engelhardt BE;Montgomery SB
通讯作者:
Montgomery SB
影响因子:
64.8
作者:
通讯作者:
--
影响因子:
30.8
作者:
Bulik-Sullivan, Brendan K.;Loh, Po-Ru;Finucane, Hilary K.;Ripke, Stephan;Yang, Jian;Patterson, Nick;Daly, Mark J.;Price, Alkes L.;Neale, Benjamin M.
通讯作者:
Neale, Benjamin M.
影响因子:
16.6
作者:
Duncan, L.;Shen, H.;Domingue, B.
通讯作者:
Domingue, B.