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Replication of 6 Obesity Genes in a Meta-Analysis of Genome-Wide Association Studies from Diverse Ancestries

Obesity is a major public health problem with a significant genetic component. Multiple DNA polymorphisms/genes have been shown to be strongly associated with obesity, typically in populations of European descent. The aim of this study was to verify the extent to which 6 confirmed obesity genes (FTO...

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Autores principales: Tan, Li-Jun, Zhu, Hu, He, Hao, Wu, Ke-Hao, Li, Jian, Chen, Xiang-Ding, Zhang, Ji-Gang, Shen, Hui, Tian, Qing, Krousel-Wood, Marie, Papasian, Christopher J., Bouchard, Claude, Pérusse, Louis, Deng, Hong-Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4039436/
https://www.ncbi.nlm.nih.gov/pubmed/24879436
http://dx.doi.org/10.1371/journal.pone.0096149
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author Tan, Li-Jun
Zhu, Hu
He, Hao
Wu, Ke-Hao
Li, Jian
Chen, Xiang-Ding
Zhang, Ji-Gang
Shen, Hui
Tian, Qing
Krousel-Wood, Marie
Papasian, Christopher J.
Bouchard, Claude
Pérusse, Louis
Deng, Hong-Wen
author_facet Tan, Li-Jun
Zhu, Hu
He, Hao
Wu, Ke-Hao
Li, Jian
Chen, Xiang-Ding
Zhang, Ji-Gang
Shen, Hui
Tian, Qing
Krousel-Wood, Marie
Papasian, Christopher J.
Bouchard, Claude
Pérusse, Louis
Deng, Hong-Wen
author_sort Tan, Li-Jun
collection PubMed
description Obesity is a major public health problem with a significant genetic component. Multiple DNA polymorphisms/genes have been shown to be strongly associated with obesity, typically in populations of European descent. The aim of this study was to verify the extent to which 6 confirmed obesity genes (FTO, CTNNBL1, ADRB2, LEPR, PPARG and UCP2 genes) could be replicated in 8 different samples (n = 11,161) and to explore whether the same genes contribute to obesity-susceptibility in populations of different ancestries (five Caucasian, one Chinese, one African-American and one Hispanic population). GWAS-based data sets with 1000 G imputed variants were tested for association with obesity phenotypes individually in each population, and subsequently combined in a meta-analysis. Multiple variants at the FTO locus showed significant associations with BMI, fat mass (FM) and percentage of body fat (PBF) in meta-analysis. The strongest association was detected at rs7185735 (P-value = 1.01×10(−7) for BMI, 1.80×10(−6) for FM, and 5.29×10(−4) for PBF). Variants at the CTNNBL1, LEPR and PPARG loci demonstrated nominal association with obesity phenotypes (meta-analysis P-values ranging from 1.15×10(−3) to 4.94×10(−2)). There was no evidence of association with variants at ADRB2 and UCP2 genes. When stratified by sex and ethnicity, FTO variants showed sex-specific and ethnic-specific effects on obesity traits. Thus, it is likely that FTO has an important role in the sex- and ethnic-specific risk of obesity. Our data confirmed the role of FTO, CTNNBL1, LEPR and PPARG in obesity predisposition. These findings enhanced our knowledge of genetic associations between these genes and obesity-related phenotypes, and provided further justification for pursuing functional studies of these genes in the pathophysiology of obesity. Sex and ethnic differences in genetic susceptibility across populations of diverse ancestries may contribute to a more targeted prevention and customized treatment of obesity.
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spelling pubmed-40394362014-06-02 Replication of 6 Obesity Genes in a Meta-Analysis of Genome-Wide Association Studies from Diverse Ancestries Tan, Li-Jun Zhu, Hu He, Hao Wu, Ke-Hao Li, Jian Chen, Xiang-Ding Zhang, Ji-Gang Shen, Hui Tian, Qing Krousel-Wood, Marie Papasian, Christopher J. Bouchard, Claude Pérusse, Louis Deng, Hong-Wen PLoS One Research Article Obesity is a major public health problem with a significant genetic component. Multiple DNA polymorphisms/genes have been shown to be strongly associated with obesity, typically in populations of European descent. The aim of this study was to verify the extent to which 6 confirmed obesity genes (FTO, CTNNBL1, ADRB2, LEPR, PPARG and UCP2 genes) could be replicated in 8 different samples (n = 11,161) and to explore whether the same genes contribute to obesity-susceptibility in populations of different ancestries (five Caucasian, one Chinese, one African-American and one Hispanic population). GWAS-based data sets with 1000 G imputed variants were tested for association with obesity phenotypes individually in each population, and subsequently combined in a meta-analysis. Multiple variants at the FTO locus showed significant associations with BMI, fat mass (FM) and percentage of body fat (PBF) in meta-analysis. The strongest association was detected at rs7185735 (P-value = 1.01×10(−7) for BMI, 1.80×10(−6) for FM, and 5.29×10(−4) for PBF). Variants at the CTNNBL1, LEPR and PPARG loci demonstrated nominal association with obesity phenotypes (meta-analysis P-values ranging from 1.15×10(−3) to 4.94×10(−2)). There was no evidence of association with variants at ADRB2 and UCP2 genes. When stratified by sex and ethnicity, FTO variants showed sex-specific and ethnic-specific effects on obesity traits. Thus, it is likely that FTO has an important role in the sex- and ethnic-specific risk of obesity. Our data confirmed the role of FTO, CTNNBL1, LEPR and PPARG in obesity predisposition. These findings enhanced our knowledge of genetic associations between these genes and obesity-related phenotypes, and provided further justification for pursuing functional studies of these genes in the pathophysiology of obesity. Sex and ethnic differences in genetic susceptibility across populations of diverse ancestries may contribute to a more targeted prevention and customized treatment of obesity. Public Library of Science 2014-05-30 /pmc/articles/PMC4039436/ /pubmed/24879436 http://dx.doi.org/10.1371/journal.pone.0096149 Text en © 2014 Tan et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Tan, Li-Jun
Zhu, Hu
He, Hao
Wu, Ke-Hao
Li, Jian
Chen, Xiang-Ding
Zhang, Ji-Gang
Shen, Hui
Tian, Qing
Krousel-Wood, Marie
Papasian, Christopher J.
Bouchard, Claude
Pérusse, Louis
Deng, Hong-Wen
Replication of 6 Obesity Genes in a Meta-Analysis of Genome-Wide Association Studies from Diverse Ancestries
title Replication of 6 Obesity Genes in a Meta-Analysis of Genome-Wide Association Studies from Diverse Ancestries
title_full Replication of 6 Obesity Genes in a Meta-Analysis of Genome-Wide Association Studies from Diverse Ancestries
title_fullStr Replication of 6 Obesity Genes in a Meta-Analysis of Genome-Wide Association Studies from Diverse Ancestries
title_full_unstemmed Replication of 6 Obesity Genes in a Meta-Analysis of Genome-Wide Association Studies from Diverse Ancestries
title_short Replication of 6 Obesity Genes in a Meta-Analysis of Genome-Wide Association Studies from Diverse Ancestries
title_sort replication of 6 obesity genes in a meta-analysis of genome-wide association studies from diverse ancestries
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4039436/
https://www.ncbi.nlm.nih.gov/pubmed/24879436
http://dx.doi.org/10.1371/journal.pone.0096149
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