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Genetic Information and the Prediction of Incident Type 2 Diabetes in a High-Risk Multiethnic Population: The EpiDREAM genetic study

OBJECTIVE: To determine if 16 single nucleotide polymorphisms (SNPs) associated with type 2 diabetes (T2DM) in Europeans are also associated with T2DM in South Asians and Latinos and if they can add to the prediction of incident T2DM in a high-risk population. RESEARCH DESIGN AND METHODS: In the Epi...

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Autores principales: Anand, Sonia S., Meyre, David, Pare, Guillaume, Bailey, Swneke D., Xie, Changchun, Zhang, Xiaohe, Montpetit, Alexandre, Desai, Dipika, Bosch, Jackie, Mohan, Viswanathan, Diaz, Rafael, McQueen, Matthew J., Cordell, Heather J., Keavney, Bernard, Yusuf, Salim, Gaudet, Daniel, Gerstein, Hertzel, Engert, James C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Diabetes Association 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3747911/
https://www.ncbi.nlm.nih.gov/pubmed/23603917
http://dx.doi.org/10.2337/dc12-2553
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author Anand, Sonia S.
Meyre, David
Pare, Guillaume
Bailey, Swneke D.
Xie, Changchun
Zhang, Xiaohe
Montpetit, Alexandre
Desai, Dipika
Bosch, Jackie
Mohan, Viswanathan
Diaz, Rafael
McQueen, Matthew J.
Cordell, Heather J.
Keavney, Bernard
Yusuf, Salim
Gaudet, Daniel
Gerstein, Hertzel
Engert, James C.
author_facet Anand, Sonia S.
Meyre, David
Pare, Guillaume
Bailey, Swneke D.
Xie, Changchun
Zhang, Xiaohe
Montpetit, Alexandre
Desai, Dipika
Bosch, Jackie
Mohan, Viswanathan
Diaz, Rafael
McQueen, Matthew J.
Cordell, Heather J.
Keavney, Bernard
Yusuf, Salim
Gaudet, Daniel
Gerstein, Hertzel
Engert, James C.
author_sort Anand, Sonia S.
collection PubMed
description OBJECTIVE: To determine if 16 single nucleotide polymorphisms (SNPs) associated with type 2 diabetes (T2DM) in Europeans are also associated with T2DM in South Asians and Latinos and if they can add to the prediction of incident T2DM in a high-risk population. RESEARCH DESIGN AND METHODS: In the EpiDREAM prospective cohort study, physical measures, questionnaires, and blood samples were collected from 25,063 individuals at risk for dysglycemia. Sixteen SNPs that have been robustly associated with T2DM in Europeans were genotyped. Among 15,466 European, South Asian, and Latino subjects, we examined the association of these 16 SNPs alone and combined in a gene score with incident cases of T2DM (n = 1,016) that developed during 3.3 years of follow-up. RESULTS: Nine of the 16 SNPs were significantly associated with T2DM, and their direction of effect was consistent across the three ethnic groups. The gene score was significantly higher among subjects who developed incident T2DM (cases vs. noncases: 16.47 [2.50] vs. 15.99 [2.56]; P = 0.00001). The gene score remained an independent predictor of incident T2DM, with an odds ratio of 1.08 (95% CI 1.05–1.11) per additional risk allele after adjustment for T2DM risk factors. The gene score in those with no family history of T2DM was 16.02, whereas it was 16.19 in those with one parent with T2DM and it was 16.32 in those with two parents with T2DM (P trend = 0.0004). The C statistic of T2DM risk factors was 0.708 (0.691–0.725) and increased only marginally to 0.714 (0.698–0.731) with the addition of the gene score (P for C statistic change = 0.0052). CONCLUSIONS: T2DM genetic associations are generally consistent across ethnic groups, and a gene score only adds marginal information to clinical factors for T2DM prediction.
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spelling pubmed-37479112014-09-01 Genetic Information and the Prediction of Incident Type 2 Diabetes in a High-Risk Multiethnic Population: The EpiDREAM genetic study Anand, Sonia S. Meyre, David Pare, Guillaume Bailey, Swneke D. Xie, Changchun Zhang, Xiaohe Montpetit, Alexandre Desai, Dipika Bosch, Jackie Mohan, Viswanathan Diaz, Rafael McQueen, Matthew J. Cordell, Heather J. Keavney, Bernard Yusuf, Salim Gaudet, Daniel Gerstein, Hertzel Engert, James C. Diabetes Care Original Research OBJECTIVE: To determine if 16 single nucleotide polymorphisms (SNPs) associated with type 2 diabetes (T2DM) in Europeans are also associated with T2DM in South Asians and Latinos and if they can add to the prediction of incident T2DM in a high-risk population. RESEARCH DESIGN AND METHODS: In the EpiDREAM prospective cohort study, physical measures, questionnaires, and blood samples were collected from 25,063 individuals at risk for dysglycemia. Sixteen SNPs that have been robustly associated with T2DM in Europeans were genotyped. Among 15,466 European, South Asian, and Latino subjects, we examined the association of these 16 SNPs alone and combined in a gene score with incident cases of T2DM (n = 1,016) that developed during 3.3 years of follow-up. RESULTS: Nine of the 16 SNPs were significantly associated with T2DM, and their direction of effect was consistent across the three ethnic groups. The gene score was significantly higher among subjects who developed incident T2DM (cases vs. noncases: 16.47 [2.50] vs. 15.99 [2.56]; P = 0.00001). The gene score remained an independent predictor of incident T2DM, with an odds ratio of 1.08 (95% CI 1.05–1.11) per additional risk allele after adjustment for T2DM risk factors. The gene score in those with no family history of T2DM was 16.02, whereas it was 16.19 in those with one parent with T2DM and it was 16.32 in those with two parents with T2DM (P trend = 0.0004). The C statistic of T2DM risk factors was 0.708 (0.691–0.725) and increased only marginally to 0.714 (0.698–0.731) with the addition of the gene score (P for C statistic change = 0.0052). CONCLUSIONS: T2DM genetic associations are generally consistent across ethnic groups, and a gene score only adds marginal information to clinical factors for T2DM prediction. American Diabetes Association 2013-09 2013-08-13 /pmc/articles/PMC3747911/ /pubmed/23603917 http://dx.doi.org/10.2337/dc12-2553 Text en © 2013 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. See http://creativecommons.org/licenses/by-nc-nd/3.0/ for details.
spellingShingle Original Research
Anand, Sonia S.
Meyre, David
Pare, Guillaume
Bailey, Swneke D.
Xie, Changchun
Zhang, Xiaohe
Montpetit, Alexandre
Desai, Dipika
Bosch, Jackie
Mohan, Viswanathan
Diaz, Rafael
McQueen, Matthew J.
Cordell, Heather J.
Keavney, Bernard
Yusuf, Salim
Gaudet, Daniel
Gerstein, Hertzel
Engert, James C.
Genetic Information and the Prediction of Incident Type 2 Diabetes in a High-Risk Multiethnic Population: The EpiDREAM genetic study
title Genetic Information and the Prediction of Incident Type 2 Diabetes in a High-Risk Multiethnic Population: The EpiDREAM genetic study
title_full Genetic Information and the Prediction of Incident Type 2 Diabetes in a High-Risk Multiethnic Population: The EpiDREAM genetic study
title_fullStr Genetic Information and the Prediction of Incident Type 2 Diabetes in a High-Risk Multiethnic Population: The EpiDREAM genetic study
title_full_unstemmed Genetic Information and the Prediction of Incident Type 2 Diabetes in a High-Risk Multiethnic Population: The EpiDREAM genetic study
title_short Genetic Information and the Prediction of Incident Type 2 Diabetes in a High-Risk Multiethnic Population: The EpiDREAM genetic study
title_sort genetic information and the prediction of incident type 2 diabetes in a high-risk multiethnic population: the epidream genetic study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3747911/
https://www.ncbi.nlm.nih.gov/pubmed/23603917
http://dx.doi.org/10.2337/dc12-2553
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