Meta-Analysis of Genome-Wide Association Studies in African Americans Provides Insights into the Genetic Architecture of Type 2 Diabetes

被引:162
|
作者
Ng, Maggie C. Y. [1 ,2 ]
Shriner, Daniel [3 ]
Chen, Brian H. [4 ,5 ]
Li, Jiang [2 ]
Chen, Wei-Min [6 ,7 ]
Guo, Xiuqing [8 ]
Liu, Jiankang [9 ]
Bielinski, Suzette J. [10 ]
Yanek, Lisa R. [11 ]
Nalls, Michael A. [12 ]
Comeau, Mary E. [13 ,14 ]
Rasmussen-Torvik, Laura J. [15 ]
Jensen, Richard A. [16 ,17 ]
Evans, Daniel S. [18 ]
Sun, Yan V. [19 ]
An, Ping
Patel, Sanjay R. [21 ]
Lu, Yingchang [22 ,23 ]
Long, Jirong [24 ]
Armstrong, Loren L. [25 ]
Wagenknecht, Lynne [26 ]
Yang, Lingyao [14 ]
Snively, Beverly M. [14 ]
Palmer, Nicholette D. [1 ,2 ,27 ]
Mudgal, Poorva [2 ]
Langefeld, Carl D. [13 ,14 ]
Keene, Keith L. [28 ]
Freedman, Barry I. [29 ]
Mychaleckyj, Josyf C. [6 ,7 ]
Nayak, Uma [6 ,7 ]
Raffel, Leslie J. [30 ]
Goodarzi, Mark O. [30 ]
Chen, Y-D Ida [8 ]
Taylor, Herman A., Jr. [31 ,32 ]
Correa, Adolfo [31 ]
Sims, Mario [31 ]
Couper, David [33 ]
Pankow, James S. [34 ]
Boerwinkle, Eric [35 ]
Adeyemo, Adebowale [3 ]
Doumatey, Ayo [3 ]
Chen, Guanjie [3 ]
Mathias, Rasika A. [11 ,36 ]
Vaidya, Dhananjay [11 ,37 ]
Singleton, Andrew B. [12 ]
Zonderman, Alan B. [38 ]
Igo, Robert P., Jr. [39 ]
Sedor, John R. [40 ,41 ]
Kabagambe, Edmond K. [42 ]
Siscovick, David S. [16 ,17 ,43 ]
机构
[1] Wake Forest Sch Med, Ctr Genom & Personalized Med Res, Winston Salem, NC 27157 USA
[2] Wake Forest Sch Med, Ctr Diabet Res, Winston Salem, NC USA
[3] NHGRI, Ctr Res Genom & Global Hlth, Bethesda, MD 20892 USA
[4] Univ Calif Los Angeles, Sch Publ Hlth, Program Genom & Nutr, Los Angeles, CA 90024 USA
[5] Univ Calif Los Angeles, Sch Publ Hlth, Ctr Metab Dis Prevent, Los Angeles, CA 90024 USA
[6] Univ Virginia, Ctr Publ Hlth Genom, Charlottesville, VA USA
[7] Univ Virginia, Dept Publ Hlth Sci, Charlottesville, VA USA
[8] Harbor UCLA Med Ctr, Los Angeles BioMed Res Inst, Inst Translat Genom & Populat Sci, Torrance, CA 90509 USA
[9] Univ Mississippi, Med Ctr, Dept Med, Jackson, MS 39216 USA
[10] Mayo Clin, Dept Hlth Sci Res, Div Epidemiol, Rochester, MN USA
[11] Johns Hopkins Univ, Dept Med, GeneSTAR Res Program, Div Gen Internal Med,Sch Med, Baltimore, MD USA
[12] NIA, Neurogenet Lab, NIH, Bethesda, MD 20892 USA
[13] Wake Forest Sch Med, Div Publ Hlth Sci, Ctr Publ Hlth Genom, Winston Salem, NC USA
[14] Wake Forest Sch Med, Div Publ Hlth Sci, Dept Biostat Sci, Winston Salem, NC USA
[15] Northwestern Univ, Dept Prevent Med, Feinberg Sch Med, Chicago, IL 60611 USA
[16] Univ Washington, Cardiovasc Hlth Res Unit, Seattle, WA USA
[17] Univ Washington, Dept Med, Seattle, WA USA
[18] Calif Pacific Med Ctr, San Francisco Coordinating Ctr, Res Inst, San Francisco, CA USA
[19] Emory Univ, Dept Epidemiol & Biomed Informat, Atlanta, GA 30322 USA
[20] Washington Univ, Sch Med, Div Stat Genom, St Louis, MO USA
[21] Brigham & Womens Hosp, Div Sleep Med, Boston, MA 02115 USA
[22] Icahn Sch Med Mt Sinai, Charles Bronfman Inst Personalized Med, New York, NY USA
[23] Icahn Sch Med Mt Sinai, Genet Obes & Related Metab Traits Program, New York, NY USA
[24] Vanderbilt Univ, Sch Med, Vanderbilt Ingram Canc Ctr, Div Epidemiol,Dept Med,Vanderbilt Epidemiol Ctr, Nashville, TN 37212 USA
[25] Northwestern Univ, Feinberg Sch Med, Div Endocrinol Metab & Mol Med, Chicago, IL 60611 USA
[26] Wake Forest Sch Med, Div Publ Hlth Sci, Winston Salem, NC USA
[27] Wake Forest Sch Med, Dept Biochem, Winston Salem, NC USA
[28] E Carolina Univ, Dept Biol, Ctr Hlth Dispar, Greenville, NC USA
[29] Wake Forest Sch Med, Dept Internal Med, Winston Salem, NC USA
[30] Cedars Sinai Med Ctr, Med Genet Res Inst, Los Angeles, CA 90048 USA
[31] Univ Mississippi, Med Ctr, Dept Med, Jackson, MS 39216 USA
[32] Jackson State Univ, Tougaloo Coll, Jackson, MS USA
[33] Univ N Carolina, Dept Biostat, Collaborat Studies Coordinating Ctr, Chapel Hill, NC USA
[34] Univ Minnesota, Div Epidemiol & Community Hlth, Minneapolis, MN USA
[35] Univ Texas Hlth Sci Ctr Houston, Ctr Human Genet, Houston, TX 77030 USA
[36] Johns Hopkins Univ, Sch Med, Div Allergy & Clin Immunol, Dept Med, Baltimore, MD USA
[37] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Epidemiol, Baltimore, MD USA
[38] NIA, Lab Personal & Cognit, NIH, Baltimore, MD 21224 USA
[39] Case Western Reserve Univ, Dept Epidemiol & Biostat, Cleveland, OH 44106 USA
[40] Case Western Reserve Univ, Dept Med, Cleveland, OH 44106 USA
[41] Case Western Reserve Univ, Dept Physiol & Biophys, Cleveland, OH 44106 USA
[42] Vanderbilt Univ, Med Ctr, Dept Med, Div Epidemiol, Nashville, TN USA
[43] Univ Washington, Dept Epidemiol, Seattle, WA 98195 USA
[44] Univ Washington, Dept Biostat, Seattle, WA 98195 USA
[45] Wake Forest Sch Med, Div Publ Hlth Sci, Dept Epidemiol & Prevent, Winston Salem, NC USA
[46] Univ Calif San Francisco, Dept Med, San Francisco, CA USA
[47] Univ Michigan, Sch Publ Hlth, Dept Epidemiol, Ann Arbor, MI 48109 USA
[48] Vanderbilt Univ, Sch Med, Vanderbilt Ingram Canc Ctr, Div Epidemiol,Dept Med,Vanderbilt Epidemiol Ctr, Nashville, TN 37212 USA
[49] Int Epidemiol Inst, Rockville, MD USA
[50] Northwestern Univ, Ctr Genet Med, Feinberg Sch Med, Chicago, IL 60611 USA
来源
PLOS GENETICS | 2014年 / 10卷 / 08期
基金
美国国家卫生研究院; 美国医疗保健研究与质量局;
关键词
SUSCEPTIBILITY; LOCI; CONFIRMATION; RISK; EXPRESSION; HAPLOTYPES; EFFICIENT; LINKAGE; PACKAGE; PROTEIN;
D O I
10.1371/journal.pgen.1004517
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Type 2 diabetes (T2D) is more prevalent in African Americans than in Europeans. However, little is known about the genetic risk in African Americans despite the recent identification of more than 70 T2D loci primarily by genome-wide association studies (GWAS) in individuals of European ancestry. In order to investigate the genetic architecture of T2D in African Americans, the MEta-analysis of type 2 DIabetes in African Americans (MEDIA) Consortium examined 17 GWAS on T2D comprising 8,284 cases and 15,543 controls in African Americans in stage 1 analysis. Single nucleotide polymorphisms (SNPs) association analysis was conducted in each study under the additive model after adjustment for age, sex, study site, and principal components. Meta-analysis of approximately 2.6 million genotyped and imputed SNPs in all studies was conducted using an inverse variance-weighted fixed effect model. Replications were performed to follow up 21 loci in up to 6,061 cases and 5,483 controls in African Americans, and 8,130 cases and 38,987 controls of European ancestry. We identified three known loci (TCF7L2, HMGA2 and KCNQ1) and two novel loci (HLA-B and INS-IGF2) at genome-wide significance (4.15x10(-94) < P < 5x10(-8), odds ratio (OR) = 1.09 to 1.36). Fine-mapping revealed that 88 of 158 previously identified T2D or glucose homeostasis loci demonstrated nominal to highly significant association (2.2x10(-23) < locus-wide P<0.05). These novel and previously identified loci yielded a sibling relative risk of 1.19, explaining 17.5% of the phenotypic variance of T2D on the liability scale in African Americans. Overall, this study identified two novel susceptibility loci for T2D in African Americans. A substantial number of previously reported loci are transferable to African Americans after accounting for linkage disequilibrium, enabling fine mapping of causal variants in trans-ethnic meta-analysis studies.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] Transethnic Genome-Wide Association Study Provides Insights in the Genetic Architecture and Heritability of Long QT Syndrome
    Lahrouchi, Najim
    Tadros, Rafik
    Crotti, Lia
    Mizusawa, Yuka
    Postema, Pieter G.
    Beekman, Leander
    Walsh, Roddy
    Hasegawa, Kanae
    Barc, Julien
    Ernsting, Marko
    Turkowski, Kari L.
    Mazzanti, Andrea
    Beckmann, Britt M.
    Shimamoto, Keiko
    Diamant, Ulla-Britt
    Wijeyeratne, Yanushi D.
    Kucho, Yu
    Robyns, Tomas
    Ishikawa, Taisuke
    Arbelo, Elena
    Christiansen, Michael
    Winbo, Annika
    Jabbari, Reza
    Lubitz, Steven A.
    Steinfurt, Johannes
    Rudic, Boris
    Loeys, Bart
    Shoemaker, M. Ben
    Weeke, Peter E.
    Pfeiffer, Ryan
    Davies, Brianna
    Andorin, Antoine
    Hofman, Nynke
    Dagradi, Federica
    Pedrazzini, Matteo
    Tester, David J.
    Bos, J. Martijn
    Sarquella-Brugada, Georgia
    Campuzano, Oscar
    Platonov, Pyotr G.
    Stallmeyer, Birgit
    Zumhagen, Sven
    Nannenberg, Eline A.
    Veldink, Jan H.
    van den Berg, Leonard H.
    Al-Chalabi, Ammar
    Shaw, Christopher E.
    Shaw, Pamela J.
    Morrison, Karen E.
    Andersen, Peter M.
    CIRCULATION, 2020, 142 (04) : 324 - 338
  • [32] Meta-analysis of genome-wide association scans for genetic susceptibility to endometriosis in Japanese population
    Adachi, Sosuke
    Tajima, Atsushi
    Quan, Jinhua
    Haino, Kazufumi
    Yoshihara, Kosuke
    Masuzaki, Hideaki
    Katabuchi, Hidetaka
    Ikuma, Kenichiro
    Suginami, Hiroshi
    Nishida, Nao
    Kuwano, Ryozo
    Okazaki, Yuji
    Kawamura, Yoshiya
    Sasaki, Tsukasa
    Tokunaga, Katsushi
    Inoue, Ituro
    Tanaka, Kenichi
    JOURNAL OF HUMAN GENETICS, 2010, 55 (12) : 816 - 821
  • [33] Genome-wide association studies in type 1 diabetes
    Grant, Struan F. A.
    Hakonarson, Hakon
    CURRENT DIABETES REPORTS, 2009, 9 (02) : 157 - 163
  • [34] Cumulative evidence for association between genetic polymorphisms and esophageal cancer susceptibility: A review with evidence from meta-analysis and genome-wide association studies
    Tian, Jie
    Liu, Caiyang
    Liu, Guanchu
    Zuo, Chunjian
    Chen, Huanwen
    CANCER MEDICINE, 2019, 8 (03): : 1289 - 1305
  • [35] Pharmacogenetic meta-analysis of genome-wide association studies of LDL cholesterol response to statins
    Postmus, Iris
    Trompet, Stella
    Deshmukh, Harshal A.
    Barnes, Michael R.
    Li, Xiaohui
    Warren, Helen R.
    Chasman, Daniel I.
    Zhou, Kaixin
    Arsenault, Benoit J.
    Donnelly, Louise A.
    Wiggins, Kerri L.
    Avery, Christy L.
    Griffin, Paula
    Feng, QiPing
    Taylor, Kent D.
    Li, Guo
    Evans, Daniel S.
    Smith, Albert V.
    de Keyser, Catherine E.
    Johnson, Andrew D.
    de Craen, Anton J. M.
    Stott, David J.
    Buckley, Brendan M.
    Ford, Ian
    Westendorp, Rudi G. J.
    Slagboom, P. Eline
    Sattar, Naveed
    Munroe, Patricia B.
    Sever, Peter
    Poulter, Neil
    Stanton, Alice
    Shields, Denis C.
    O'Brien, Eoin
    Shaw-Hawkins, Sue
    Chen, Y. -D. Ida
    Nickerson, Deborah A.
    Smith, Joshua D.
    Dube, Marie Pierre
    Boekholdt, S. Matthijs
    Hovingh, G. Kees
    Kastelein, John J. P.
    McKeigue, Paul M.
    Betteridge, John
    Neil, Andrew
    Durrington, Paul N.
    Doney, Alex
    Carr, Fiona
    Morris, Andrew
    McCarthy, Mark I.
    Groop, Leif
    NATURE COMMUNICATIONS, 2014, 5
  • [36] Accounting for heterogeneity due to environmental sources in meta-analysis of genome-wide association studies
    Wang, Siru
    Ojewunmi, Oyesola O.
    Kamiza, Abram
    Ramsay, Michele
    Morris, Andrew P.
    Chikowore, Tinashe
    Fatumo, Segun
    Asimit, Jennifer L.
    COMMUNICATIONS BIOLOGY, 2024, 7 (01)
  • [37] A meta-analysis of reflux genome-wide association studies in 6750 Northern Europeans from the general population
    Bonfiglio, F.
    Hysi, P. G.
    Ek, W.
    Karhunen, V.
    Rivera, N. V.
    Mannikko, M.
    Nordenstedt, H.
    Zucchelli, M.
    Bresso, F.
    Williams, F.
    Tornblom, H.
    Magnusson, P. K.
    Pedersen, N. L.
    Ronkainen, J.
    Schmidt, P. T.
    D'Amato, M.
    NEUROGASTROENTEROLOGY AND MOTILITY, 2017, 29 (02):
  • [38] A meta-analysis of genome-wide association studies of multiple myeloma among men and women of African ancestry
    Du, Zhaohui
    Weinhold, Niels
    Song, Gregory Chi
    Rand, Kristin A.
    Van Den Berg, David J.
    Hwang, Amie E.
    Sheng, Xin
    Hom, Victor
    Ailawadhi, Sikander
    Nooka, Ajay K.
    Singhal, Seema
    Pawlish, Karen
    Peters, Edward S.
    Bock, Cathryn
    Mohrbacher, Ann
    Stram, Alexander
    Berndt, Sonja, I
    Blot, William J.
    Casey, Graham
    Stevens, Victoria L.
    Kittles, Rick
    Goodman, Phyllis J.
    Diver, W. Ryan
    Hennis, Anselm
    Nemesure, Barbara
    Klein, Eric A.
    Rybicki, Benjamin A.
    Stanford, Janet L.
    Witte, John S.
    Signorello, Lisa
    John, Esther M.
    Bernstein, Leslie
    Stroup, Antoinette M.
    Stephens, Owen W.
    Zangari, Maurizio
    Van Rhee, Frits
    Olshan, Andrew
    Zheng, Wei
    Hu, Jennifer J.
    Ziegler, Regina
    Nyante, Sarah J.
    Ingles, Sue Ann
    Press, Michael F.
    Carpten, John David
    Chanock, Stephen J.
    Mehta, Jayesh
    Colditz, Graham A.
    Wolf, Jeffrey
    Martin, Thomas G.
    Tomasson, Michael
    BLOOD ADVANCES, 2020, 4 (01) : 181 - 190
  • [39] Genome-Wide Association Studies Provide Insights Into the Genetic Architecture of Seed Germination Traits in Maize
    Li, Yuntong
    Liang, Yameng
    Liu, Meiling
    Zhang, Qiyuan
    Wang, Ziwei
    Fan, Jinjuan
    Ruan, Yanye
    Zhang, Ao
    Dong, Xiaomei
    Yue, Jing
    Li, Cong
    FRONTIERS IN PLANT SCIENCE, 2022, 13
  • [40] Replication and meta-analysis of previous genome-wide association studies confirm vezatin as the locus with the strongest evidence for association with endometriosis
    Pagliardini, Luca
    Gentilini, Davide
    Sanchez, Ana Maria
    Candiani, Massimo
    Vigano, Paola
    Di Blasio, Anna Maria
    HUMAN REPRODUCTION, 2015, 30 (04) : 987 - 993