Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility

Research output: Contribution to journal › Journal article › Research › peer-review

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Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility. / Mahajan, Anubha; Go, Min Jin; Zhang, Weihua; Below, Jennifer E; Gaulton, Kyle J; Ferreira, Teresa; Horikoshi, Momoko; Johnson, Andrew D; Ng, Maggie C Y; Prokopenko, Inga; Saleheen, Danish; Wang, Xu; Zeggini, Eleftheria; Abecasis, Goncalo R; Adair, Linda S; Almgren, Peter; Atalay, Mustafa; Aung, Tin; Baldassarre, Damiano; Balkau, Beverley; Bao, Yuqian; Barnett, Anthony H; Barroso, Ines; Basit, Abdul; Been, Latonya F; Beilby, John; Bell, Graeme I; Benediktsson, Rafn; Bergman, Richard N; Boehm, Bernhard O; Boerwinkle, Eric; Bonnycastle, Lori L; Burtt, Noël; Cai, Qiuyin; Campbell, Harry; Carey, Jason; Cauchi, Stephane; Caulfield, Mark; Chan, Juliana C N; Chang, Li-Ching; Chang, Tien-Jyun; Chang, Yi-Cheng; Charpentier, Guillaume; Chen, Chien-Hsiun; Chen, Han; Chen, Yuan-Tsong; Chia, Kee-Seng; Chidambaram, Manickam; Chines, Peter S; Jonsson, Anna Elisabet; Diabetes Genetics Replication and Meta-analysis (DIAGRAM) Consortium.

In: Nature Genetics, Vol. 46, No. 3, 03.2014, p. 234-44.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Mahajan, A, Go, MJ, Zhang, W, Below, JE, Gaulton, KJ, Ferreira, T, Horikoshi, M, Johnson, AD, Ng, MCY, Prokopenko, I, Saleheen, D, Wang, X, Zeggini, E, Abecasis, GR, Adair, LS, Almgren, P, Atalay, M, Aung, T, Baldassarre, D, Balkau, B, Bao, Y, Barnett, AH, Barroso, I, Basit, A, Been, LF, Beilby, J, Bell, GI, Benediktsson, R, Bergman, RN, Boehm, BO, Boerwinkle, E, Bonnycastle, LL, Burtt, N, Cai, Q, Campbell, H, Carey, J, Cauchi, S, Caulfield, M, Chan, JCN, Chang, L-C, Chang, T-J, Chang, Y-C, Charpentier, G, Chen, C-H, Chen, H, Chen, Y-T, Chia, K-S, Chidambaram, M, Chines, PS, Jonsson, AE & Diabetes Genetics Replication and Meta-analysis (DIAGRAM) Consortium 2014, 'Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility', Nature Genetics, vol. 46, no. 3, pp. 234-44. https://doi.org/10.1038/ng.2897

APA

Mahajan, A., Go, M. J., Zhang, W., Below, J. E., Gaulton, K. J., Ferreira, T., Horikoshi, M., Johnson, A. D., Ng, M. C. Y., Prokopenko, I., Saleheen, D., Wang, X., Zeggini, E., Abecasis, G. R., Adair, L. S., Almgren, P., Atalay, M., Aung, T., Baldassarre, D., ... Diabetes Genetics Replication and Meta-analysis (DIAGRAM) Consortium (2014). Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility. Nature Genetics, 46(3), 234-44. https://doi.org/10.1038/ng.2897

Vancouver

Mahajan A, Go MJ, Zhang W, Below JE, Gaulton KJ, Ferreira T et al. Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility. Nature Genetics. 2014 Mar;46(3):234-44. https://doi.org/10.1038/ng.2897

Author

Mahajan, Anubha ; Go, Min Jin ; Zhang, Weihua ; Below, Jennifer E ; Gaulton, Kyle J ; Ferreira, Teresa ; Horikoshi, Momoko ; Johnson, Andrew D ; Ng, Maggie C Y ; Prokopenko, Inga ; Saleheen, Danish ; Wang, Xu ; Zeggini, Eleftheria ; Abecasis, Goncalo R ; Adair, Linda S ; Almgren, Peter ; Atalay, Mustafa ; Aung, Tin ; Baldassarre, Damiano ; Balkau, Beverley ; Bao, Yuqian ; Barnett, Anthony H ; Barroso, Ines ; Basit, Abdul ; Been, Latonya F ; Beilby, John ; Bell, Graeme I ; Benediktsson, Rafn ; Bergman, Richard N ; Boehm, Bernhard O ; Boerwinkle, Eric ; Bonnycastle, Lori L ; Burtt, Noël ; Cai, Qiuyin ; Campbell, Harry ; Carey, Jason ; Cauchi, Stephane ; Caulfield, Mark ; Chan, Juliana C N ; Chang, Li-Ching ; Chang, Tien-Jyun ; Chang, Yi-Cheng ; Charpentier, Guillaume ; Chen, Chien-Hsiun ; Chen, Han ; Chen, Yuan-Tsong ; Chia, Kee-Seng ; Chidambaram, Manickam ; Chines, Peter S ; Jonsson, Anna Elisabet ; Diabetes Genetics Replication and Meta-analysis (DIAGRAM) Consortium. / Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility. In: Nature Genetics. 2014 ; Vol. 46, No. 3. pp. 234-44.

Bibtex

@article{f6c5738632b24029b0d16ede446315a9,
title = "Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility",
abstract = "To further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry. We observed a significant excess in the directional consistency of T2D risk alleles across ancestry groups, even at SNPs demonstrating only weak evidence of association. By following up the strongest signals of association from the trans-ethnic meta-analysis in an additional 21,491 cases and 55,647 controls of European ancestry, we identified seven new T2D susceptibility loci. Furthermore, we observed considerable improvements in the fine-mapping resolution of common variant association signals at several T2D susceptibility loci. These observations highlight the benefits of trans-ethnic GWAS for the discovery and characterization of complex trait loci and emphasize an exciting opportunity to extend insight into the genetic architecture and pathogenesis of human diseases across populations of diverse ancestry.",
keywords = "Alleles, Asian Continental Ancestry Group, Case-Control Studies, Diabetes Mellitus, Type 2, European Continental Ancestry Group, Genetic Predisposition to Disease, Genome-Wide Association Study, Hispanic Americans, Humans, Polymorphism, Single Nucleotide, Risk Factors",
author = "Anubha Mahajan and Go, {Min Jin} and Weihua Zhang and Below, {Jennifer E} and Gaulton, {Kyle J} and Teresa Ferreira and Momoko Horikoshi and Johnson, {Andrew D} and Ng, {Maggie C Y} and Inga Prokopenko and Danish Saleheen and Xu Wang and Eleftheria Zeggini and Abecasis, {Goncalo R} and Adair, {Linda S} and Peter Almgren and Mustafa Atalay and Tin Aung and Damiano Baldassarre and Beverley Balkau and Yuqian Bao and Barnett, {Anthony H} and Ines Barroso and Abdul Basit and Been, {Latonya F} and John Beilby and Bell, {Graeme I} and Rafn Benediktsson and Bergman, {Richard N} and Boehm, {Bernhard O} and Eric Boerwinkle and Bonnycastle, {Lori L} and No{\"e}l Burtt and Qiuyin Cai and Harry Campbell and Jason Carey and Stephane Cauchi and Mark Caulfield and Chan, {Juliana C N} and Li-Ching Chang and Tien-Jyun Chang and Yi-Cheng Chang and Guillaume Charpentier and Chien-Hsiun Chen and Han Chen and Yuan-Tsong Chen and Kee-Seng Chia and Manickam Chidambaram and Chines, {Peter S} and Jonsson, {Anna Elisabet} and {Diabetes Genetics Replication and Meta-analysis (DIAGRAM) Consortium}",
year = "2014",
month = mar,
doi = "10.1038/ng.2897",
language = "English",
volume = "46",
pages = "234--44",
journal = "Nature Genetics",
issn = "1061-4036",
publisher = "nature publishing group",
number = "3",

}

RIS

TY - JOUR

T1 - Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility

AU - Mahajan, Anubha

AU - Go, Min Jin

AU - Zhang, Weihua

AU - Below, Jennifer E

AU - Gaulton, Kyle J

AU - Ferreira, Teresa

AU - Horikoshi, Momoko

AU - Johnson, Andrew D

AU - Ng, Maggie C Y

AU - Prokopenko, Inga

AU - Saleheen, Danish

AU - Wang, Xu

AU - Zeggini, Eleftheria

AU - Abecasis, Goncalo R

AU - Adair, Linda S

AU - Almgren, Peter

AU - Atalay, Mustafa

AU - Aung, Tin

AU - Baldassarre, Damiano

AU - Balkau, Beverley

AU - Bao, Yuqian

AU - Barnett, Anthony H

AU - Barroso, Ines

AU - Basit, Abdul

AU - Been, Latonya F

AU - Beilby, John

AU - Bell, Graeme I

AU - Benediktsson, Rafn

AU - Bergman, Richard N

AU - Boehm, Bernhard O

AU - Boerwinkle, Eric

AU - Bonnycastle, Lori L

AU - Burtt, Noël

AU - Cai, Qiuyin

AU - Campbell, Harry

AU - Carey, Jason

AU - Cauchi, Stephane

AU - Caulfield, Mark

AU - Chan, Juliana C N

AU - Chang, Li-Ching

AU - Chang, Tien-Jyun

AU - Chang, Yi-Cheng

AU - Charpentier, Guillaume

AU - Chen, Chien-Hsiun

AU - Chen, Han

AU - Chen, Yuan-Tsong

AU - Chia, Kee-Seng

AU - Chidambaram, Manickam

AU - Chines, Peter S

AU - Jonsson, Anna Elisabet

AU - Diabetes Genetics Replication and Meta-analysis (DIAGRAM) Consortium

PY - 2014/3

Y1 - 2014/3

N2 - To further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry. We observed a significant excess in the directional consistency of T2D risk alleles across ancestry groups, even at SNPs demonstrating only weak evidence of association. By following up the strongest signals of association from the trans-ethnic meta-analysis in an additional 21,491 cases and 55,647 controls of European ancestry, we identified seven new T2D susceptibility loci. Furthermore, we observed considerable improvements in the fine-mapping resolution of common variant association signals at several T2D susceptibility loci. These observations highlight the benefits of trans-ethnic GWAS for the discovery and characterization of complex trait loci and emphasize an exciting opportunity to extend insight into the genetic architecture and pathogenesis of human diseases across populations of diverse ancestry.

AB - To further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry. We observed a significant excess in the directional consistency of T2D risk alleles across ancestry groups, even at SNPs demonstrating only weak evidence of association. By following up the strongest signals of association from the trans-ethnic meta-analysis in an additional 21,491 cases and 55,647 controls of European ancestry, we identified seven new T2D susceptibility loci. Furthermore, we observed considerable improvements in the fine-mapping resolution of common variant association signals at several T2D susceptibility loci. These observations highlight the benefits of trans-ethnic GWAS for the discovery and characterization of complex trait loci and emphasize an exciting opportunity to extend insight into the genetic architecture and pathogenesis of human diseases across populations of diverse ancestry.

KW - Alleles

KW - Asian Continental Ancestry Group

KW - Case-Control Studies

KW - Diabetes Mellitus, Type 2

KW - European Continental Ancestry Group

KW - Genetic Predisposition to Disease

KW - Genome-Wide Association Study

KW - Hispanic Americans

KW - Humans

KW - Polymorphism, Single Nucleotide

KW - Risk Factors

U2 - 10.1038/ng.2897

DO - 10.1038/ng.2897

M3 - Journal article

C2 - 24509480

VL - 46

SP - 234

EP - 244

JO - Nature Genetics

JF - Nature Genetics

SN - 1061-4036

IS - 3

ER -

ID: 135451038