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

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...

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Autores principales: Ng, Maggie C. Y., Shriner, Daniel, Chen, Brian H., Li, Jiang, Chen, Wei-Min, Guo, Xiuqing, Liu, Jiankang, Bielinski, Suzette J., Yanek, Lisa R., Nalls, Michael A., Comeau, Mary E., Rasmussen-Torvik, Laura J., Jensen, Richard A., Evans, Daniel S., Sun, Yan V., An, Ping, Patel, Sanjay R., Lu, Yingchang, Long, Jirong, Armstrong, Loren L., Wagenknecht, Lynne, Yang, Lingyao, Snively, Beverly M., Palmer, Nicholette D., Mudgal, Poorva, Langefeld, Carl D., Keene, Keith L., Freedman, Barry I., Mychaleckyj, Josyf C., Nayak, Uma, Raffel, Leslie J., Goodarzi, Mark O., Chen, Y-D Ida, Taylor, Herman A., Correa, Adolfo, Sims, Mario, Couper, David, Pankow, James S., Boerwinkle, Eric, Adeyemo, Adebowale, Doumatey, Ayo, Chen, Guanjie, Mathias, Rasika A., Vaidya, Dhananjay, Singleton, Andrew B., Zonderman, Alan B., Igo, Robert P., Sedor, John R., Kabagambe, Edmond K., Siscovick, David S., McKnight, Barbara, Rice, Kenneth, Liu, Yongmei, Hsueh, Wen-Chi, Zhao, Wei, Bielak, Lawrence F., Kraja, Aldi, Province, Michael A., Bottinger, Erwin P., Gottesman, Omri, Cai, Qiuyin, Zheng, Wei, Blot, William J., Lowe, William L., Pacheco, Jennifer A., Crawford, Dana C., Grundberg, Elin, Rich, Stephen S., Hayes, M. Geoffrey, Shu, Xiao-Ou, Loos, Ruth J. F., Borecki, Ingrid B., Peyser, Patricia A., Cummings, Steven R., Psaty, Bruce M., Fornage, Myriam, Iyengar, Sudha K., Evans, Michele K., Becker, Diane M., Kao, W. H. Linda, Wilson, James G., Rotter, Jerome I., Sale, Michèle M., Liu, Simin, Rotimi, Charles N., Bowden, Donald W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4125087/
https://www.ncbi.nlm.nih.gov/pubmed/25102180
http://dx.doi.org/10.1371/journal.pgen.1004517
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author Ng, Maggie C. Y.
Shriner, Daniel
Chen, Brian H.
Li, Jiang
Chen, Wei-Min
Guo, Xiuqing
Liu, Jiankang
Bielinski, Suzette J.
Yanek, Lisa R.
Nalls, Michael A.
Comeau, Mary E.
Rasmussen-Torvik, Laura J.
Jensen, Richard A.
Evans, Daniel S.
Sun, Yan V.
An, Ping
Patel, Sanjay R.
Lu, Yingchang
Long, Jirong
Armstrong, Loren L.
Wagenknecht, Lynne
Yang, Lingyao
Snively, Beverly M.
Palmer, Nicholette D.
Mudgal, Poorva
Langefeld, Carl D.
Keene, Keith L.
Freedman, Barry I.
Mychaleckyj, Josyf C.
Nayak, Uma
Raffel, Leslie J.
Goodarzi, Mark O.
Chen, Y-D Ida
Taylor, Herman A.
Correa, Adolfo
Sims, Mario
Couper, David
Pankow, James S.
Boerwinkle, Eric
Adeyemo, Adebowale
Doumatey, Ayo
Chen, Guanjie
Mathias, Rasika A.
Vaidya, Dhananjay
Singleton, Andrew B.
Zonderman, Alan B.
Igo, Robert P.
Sedor, John R.
Kabagambe, Edmond K.
Siscovick, David S.
McKnight, Barbara
Rice, Kenneth
Liu, Yongmei
Hsueh, Wen-Chi
Zhao, Wei
Bielak, Lawrence F.
Kraja, Aldi
Province, Michael A.
Bottinger, Erwin P.
Gottesman, Omri
Cai, Qiuyin
Zheng, Wei
Blot, William J.
Lowe, William L.
Pacheco, Jennifer A.
Crawford, Dana C.
Grundberg, Elin
Rich, Stephen S.
Hayes, M. Geoffrey
Shu, Xiao-Ou
Loos, Ruth J. F.
Borecki, Ingrid B.
Peyser, Patricia A.
Cummings, Steven R.
Psaty, Bruce M.
Fornage, Myriam
Iyengar, Sudha K.
Evans, Michele K.
Becker, Diane M.
Kao, W. H. Linda
Wilson, James G.
Rotter, Jerome I.
Sale, Michèle M.
Liu, Simin
Rotimi, Charles N.
Bowden, Donald W.
author_facet Ng, Maggie C. Y.
Shriner, Daniel
Chen, Brian H.
Li, Jiang
Chen, Wei-Min
Guo, Xiuqing
Liu, Jiankang
Bielinski, Suzette J.
Yanek, Lisa R.
Nalls, Michael A.
Comeau, Mary E.
Rasmussen-Torvik, Laura J.
Jensen, Richard A.
Evans, Daniel S.
Sun, Yan V.
An, Ping
Patel, Sanjay R.
Lu, Yingchang
Long, Jirong
Armstrong, Loren L.
Wagenknecht, Lynne
Yang, Lingyao
Snively, Beverly M.
Palmer, Nicholette D.
Mudgal, Poorva
Langefeld, Carl D.
Keene, Keith L.
Freedman, Barry I.
Mychaleckyj, Josyf C.
Nayak, Uma
Raffel, Leslie J.
Goodarzi, Mark O.
Chen, Y-D Ida
Taylor, Herman A.
Correa, Adolfo
Sims, Mario
Couper, David
Pankow, James S.
Boerwinkle, Eric
Adeyemo, Adebowale
Doumatey, Ayo
Chen, Guanjie
Mathias, Rasika A.
Vaidya, Dhananjay
Singleton, Andrew B.
Zonderman, Alan B.
Igo, Robert P.
Sedor, John R.
Kabagambe, Edmond K.
Siscovick, David S.
McKnight, Barbara
Rice, Kenneth
Liu, Yongmei
Hsueh, Wen-Chi
Zhao, Wei
Bielak, Lawrence F.
Kraja, Aldi
Province, Michael A.
Bottinger, Erwin P.
Gottesman, Omri
Cai, Qiuyin
Zheng, Wei
Blot, William J.
Lowe, William L.
Pacheco, Jennifer A.
Crawford, Dana C.
Grundberg, Elin
Rich, Stephen S.
Hayes, M. Geoffrey
Shu, Xiao-Ou
Loos, Ruth J. F.
Borecki, Ingrid B.
Peyser, Patricia A.
Cummings, Steven R.
Psaty, Bruce M.
Fornage, Myriam
Iyengar, Sudha K.
Evans, Michele K.
Becker, Diane M.
Kao, W. H. Linda
Wilson, James G.
Rotter, Jerome I.
Sale, Michèle M.
Liu, Simin
Rotimi, Charles N.
Bowden, Donald W.
author_sort Ng, Maggie C. Y.
collection PubMed
description 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 (4.15×10(−94)<P<5×10(−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 (2.2×10(−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.
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spelling pubmed-41250872014-08-12 Meta-Analysis of Genome-Wide Association Studies in African Americans Provides Insights into the Genetic Architecture of Type 2 Diabetes Ng, Maggie C. Y. Shriner, Daniel Chen, Brian H. Li, Jiang Chen, Wei-Min Guo, Xiuqing Liu, Jiankang Bielinski, Suzette J. Yanek, Lisa R. Nalls, Michael A. Comeau, Mary E. Rasmussen-Torvik, Laura J. Jensen, Richard A. Evans, Daniel S. Sun, Yan V. An, Ping Patel, Sanjay R. Lu, Yingchang Long, Jirong Armstrong, Loren L. Wagenknecht, Lynne Yang, Lingyao Snively, Beverly M. Palmer, Nicholette D. Mudgal, Poorva Langefeld, Carl D. Keene, Keith L. Freedman, Barry I. Mychaleckyj, Josyf C. Nayak, Uma Raffel, Leslie J. Goodarzi, Mark O. Chen, Y-D Ida Taylor, Herman A. Correa, Adolfo Sims, Mario Couper, David Pankow, James S. Boerwinkle, Eric Adeyemo, Adebowale Doumatey, Ayo Chen, Guanjie Mathias, Rasika A. Vaidya, Dhananjay Singleton, Andrew B. Zonderman, Alan B. Igo, Robert P. Sedor, John R. Kabagambe, Edmond K. Siscovick, David S. McKnight, Barbara Rice, Kenneth Liu, Yongmei Hsueh, Wen-Chi Zhao, Wei Bielak, Lawrence F. Kraja, Aldi Province, Michael A. Bottinger, Erwin P. Gottesman, Omri Cai, Qiuyin Zheng, Wei Blot, William J. Lowe, William L. Pacheco, Jennifer A. Crawford, Dana C. Grundberg, Elin Rich, Stephen S. Hayes, M. Geoffrey Shu, Xiao-Ou Loos, Ruth J. F. Borecki, Ingrid B. Peyser, Patricia A. Cummings, Steven R. Psaty, Bruce M. Fornage, Myriam Iyengar, Sudha K. Evans, Michele K. Becker, Diane M. Kao, W. H. Linda Wilson, James G. Rotter, Jerome I. Sale, Michèle M. Liu, Simin Rotimi, Charles N. Bowden, Donald W. PLoS Genet Research Article 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 (4.15×10(−94)<P<5×10(−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 (2.2×10(−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. Public Library of Science 2014-08-07 /pmc/articles/PMC4125087/ /pubmed/25102180 http://dx.doi.org/10.1371/journal.pgen.1004517 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Ng, Maggie C. Y.
Shriner, Daniel
Chen, Brian H.
Li, Jiang
Chen, Wei-Min
Guo, Xiuqing
Liu, Jiankang
Bielinski, Suzette J.
Yanek, Lisa R.
Nalls, Michael A.
Comeau, Mary E.
Rasmussen-Torvik, Laura J.
Jensen, Richard A.
Evans, Daniel S.
Sun, Yan V.
An, Ping
Patel, Sanjay R.
Lu, Yingchang
Long, Jirong
Armstrong, Loren L.
Wagenknecht, Lynne
Yang, Lingyao
Snively, Beverly M.
Palmer, Nicholette D.
Mudgal, Poorva
Langefeld, Carl D.
Keene, Keith L.
Freedman, Barry I.
Mychaleckyj, Josyf C.
Nayak, Uma
Raffel, Leslie J.
Goodarzi, Mark O.
Chen, Y-D Ida
Taylor, Herman A.
Correa, Adolfo
Sims, Mario
Couper, David
Pankow, James S.
Boerwinkle, Eric
Adeyemo, Adebowale
Doumatey, Ayo
Chen, Guanjie
Mathias, Rasika A.
Vaidya, Dhananjay
Singleton, Andrew B.
Zonderman, Alan B.
Igo, Robert P.
Sedor, John R.
Kabagambe, Edmond K.
Siscovick, David S.
McKnight, Barbara
Rice, Kenneth
Liu, Yongmei
Hsueh, Wen-Chi
Zhao, Wei
Bielak, Lawrence F.
Kraja, Aldi
Province, Michael A.
Bottinger, Erwin P.
Gottesman, Omri
Cai, Qiuyin
Zheng, Wei
Blot, William J.
Lowe, William L.
Pacheco, Jennifer A.
Crawford, Dana C.
Grundberg, Elin
Rich, Stephen S.
Hayes, M. Geoffrey
Shu, Xiao-Ou
Loos, Ruth J. F.
Borecki, Ingrid B.
Peyser, Patricia A.
Cummings, Steven R.
Psaty, Bruce M.
Fornage, Myriam
Iyengar, Sudha K.
Evans, Michele K.
Becker, Diane M.
Kao, W. H. Linda
Wilson, James G.
Rotter, Jerome I.
Sale, Michèle M.
Liu, Simin
Rotimi, Charles N.
Bowden, Donald W.
Meta-Analysis of Genome-Wide Association Studies in African Americans Provides Insights into the Genetic Architecture of Type 2 Diabetes
title Meta-Analysis of Genome-Wide Association Studies in African Americans Provides Insights into the Genetic Architecture of Type 2 Diabetes
title_full Meta-Analysis of Genome-Wide Association Studies in African Americans Provides Insights into the Genetic Architecture of Type 2 Diabetes
title_fullStr Meta-Analysis of Genome-Wide Association Studies in African Americans Provides Insights into the Genetic Architecture of Type 2 Diabetes
title_full_unstemmed Meta-Analysis of Genome-Wide Association Studies in African Americans Provides Insights into the Genetic Architecture of Type 2 Diabetes
title_short Meta-Analysis of Genome-Wide Association Studies in African Americans Provides Insights into the Genetic Architecture of Type 2 Diabetes
title_sort meta-analysis of genome-wide association studies in african americans provides insights into the genetic architecture of type 2 diabetes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4125087/
https://www.ncbi.nlm.nih.gov/pubmed/25102180
http://dx.doi.org/10.1371/journal.pgen.1004517
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AT salemichelem metaanalysisofgenomewideassociationstudiesinafricanamericansprovidesinsightsintothegeneticarchitectureoftype2diabetes
AT liusimin metaanalysisofgenomewideassociationstudiesinafricanamericansprovidesinsightsintothegeneticarchitectureoftype2diabetes
AT rotimicharlesn metaanalysisofgenomewideassociationstudiesinafricanamericansprovidesinsightsintothegeneticarchitectureoftype2diabetes
AT bowdendonaldw metaanalysisofgenomewideassociationstudiesinafricanamericansprovidesinsightsintothegeneticarchitectureoftype2diabetes
AT metaanalysisofgenomewideassociationstudiesinafricanamericansprovidesinsightsintothegeneticarchitectureoftype2diabetes