Analysis across Taiwan Biobank, Biobank Japan, and UK Biobank identifies hundreds of novel loci for 36 quantitative traits.
Analysis across Taiwan Biobank, Biobank Japan, and UK Biobank identifies hundreds of novel loci for 36 quantitative traits.
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通过对台湾生物库、日本生物库和英国生物库的分析,确定了36个数量性状的数百个新位点。
DOI:
10.1016/j.xgen.2023.100436
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发表时间:
2023-12-13
期刊:
影响因子:
--
通讯作者:
Lin, Yen-Feng
中科院分区:
文献类型:
--
作者:
Chen, Chia-Yen;Chen, Tzu-Ting;Anne, Yen-Chen;Yu, Mingru;Lin, Shu-Chi;Longchamps, Ryan J.;Wang, Shi-Heng;Hsu, Yi-Hsian;Yang, Hwai-, I;Kuo, Po-Hsiu;Daly, Mark J.;Chen, Wei J.;Huang, Hailiang;Ge, Tian;Lin, Yen-Feng
Genome-wide association studies (GWASs) have identified tens of thousands of genetic loci associated with human complex traits. However, the majority of GWASs were conducted in individuals of European ancestries. Failure to capture global genetic diversity has limited genomic discovery and has impeded equitable delivery of genomic knowledge to diverse populations. Here we report findings from 102,900 individuals across 36 human quantitative traits in the Taiwan Biobank (TWB), a major biobank effort that broadens the population diversity of genetic studies in East Asia. We identified 968 novel genetic loci, pinpointed novel causal variants through statistical fine-mapping, compared the genetic architecture across TWB, Biobank Japan, and UK Biobank, and evaluated the utility of cross-phenotype, cross-population polygenic risk scores in disease risk prediction. These results demonstrated the potential to advance discovery through diversifying GWAS populations and provided insights into the common genetic basis of human complex traits in East Asia. The Taiwan Biobank (TWB) is a prospective study with health and multi-omics data Genome-wide analysis in TWB for 36 quantitative traits identified 968 novel loci Differences in genetic architecture were observed in TWB, Biobank Japan, and UK Biobank Polygenic prediction for disease onset was enhanced by cross-population biomarker GWAS Chen, Chen, Feng, Yu, Lin, et al. reported findings from genome-wide analysis in 102,900 Taiwan Biobank (TWB) participants across 36 human quantitative traits. A total of 1,986 significant loci were identified, and comparative analyses with Biobank Japan, UK Biobank, and previous GWASs revealed 968 novel loci. We also showed the utility of cross-phenotype, cross-population polygenic risk scores in disease risk prediction. These results highlight the potential to advance gene discovery with diverse populations.
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DOI:
10.1016/j.xgen.2022.100197
发表时间:
2022-11-09
期刊:
CELL GENOMICS
影响因子:
--
作者:
Feng, Yen-Chen Anne;Chen, Chia-Yen;Chen, Tzu-Ting;Kuo, Po-Hsiu;Hsu, Yi-Hsiang;Yang, Hwai-, I;Chen, Wei J.;Su, Ming-Wei;Chu, Hou-Wei;Shen, Chen-Yang;Ge, Tian;Huang, Hailiang;Lin, Yen-Feng
通讯作者:
Lin, Yen-Feng
影响因子:
64.8
作者:
Bycroft C;Freeman C;Petkova D;Band G;Elliott LT;Sharp K;Motyer A;Vukcevic D;Delaneau O;O'Connell J;Cortes A;Welsh S;Young A;Effingham M;McVean G;Leslie S;Allen N;Donnelly P;Marchini J
通讯作者:
Marchini J
影响因子:
5
作者:
Fry A;Littlejohns TJ;Sudlow C;Doherty N;Adamska L;Sprosen T;Collins R;Allen NE
通讯作者:
Allen NE
影响因子:
30.8
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)
通讯作者:
Meta-Analysis of Glucose and Insulin-related Traits Consortium (MAGIC)
影响因子:
30.8
作者:
Das, Sayantan;Forer, Lukas;Schoenherr, Sebastian;Sidore, Carlo;Locke, Adam E.;Kwong, Alan;Vrieze, Scott I.;Chew, Emily Y.;Levy, Shawn;McGue, Matt;Schlessinger, David;Stambolian, Dwight;Loh, Po-Ru;Iacono, William G.;Swaroop, Anand;Scott, Laura J.;Cucca, Francesco;Kronenberg, Florian;Boehnke, Michael;Abecasis, Goncalo R.;Fuchsberger, Christian
通讯作者:
Fuchsberger, Christian