國家衛生研究院 NHRI:Item 3990099045/13452
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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/13452


    Title: The trans-ancestral genomic architecture of glycemic traits
    Authors: 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, .;et al.
    Contributors: Institute of Population Health Sciences
    Abstract: 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.
    Date: 2021-06
    Relation: Nature Genetics. 2021 Jun;53(6):840-860.
    Link to: http://dx.doi.org/10.1038/s41588-021-00852-9
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1061-4036&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000656384400001
    Cited Times(Scopus): https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85108020584
    Appears in Collections:[Yen-Feng Chiu] Periodical Articles

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