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Genetics of Obesity Traits: A Bivariate Genome-Wide Association Analysis

Previous genome-wide association studies on anthropometric measurements have identified more than 100 related loci, but only a small portion of heritability in obesity was explained. Here we present a bivariate twin study to look for the genetic variants associated with body mass index and waist-hip...

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Autores principales: Wu, Yili, Duan, Haiping, Tian, Xiaocao, Xu, Chunsheng, Wang, Weijing, Jiang, Wenjie, Pang, Zengchang, Zhang, Dongfeng, Tan, Qihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5964872/
https://www.ncbi.nlm.nih.gov/pubmed/29868124
http://dx.doi.org/10.3389/fgene.2018.00179
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author Wu, Yili
Duan, Haiping
Tian, Xiaocao
Xu, Chunsheng
Wang, Weijing
Jiang, Wenjie
Pang, Zengchang
Zhang, Dongfeng
Tan, Qihua
author_facet Wu, Yili
Duan, Haiping
Tian, Xiaocao
Xu, Chunsheng
Wang, Weijing
Jiang, Wenjie
Pang, Zengchang
Zhang, Dongfeng
Tan, Qihua
author_sort Wu, Yili
collection PubMed
description Previous genome-wide association studies on anthropometric measurements have identified more than 100 related loci, but only a small portion of heritability in obesity was explained. Here we present a bivariate twin study to look for the genetic variants associated with body mass index and waist-hip ratio, and to explore the obesity-related pathways in Northern Han Chinese. Cholesky decomposition model for 242 monozygotic and 140 dizygotic twin pairs indicated a moderate genetic correlation (r = 0.53, 95%CI: 0.42–0.64) between body mass index and waist-hip ratio. Bivariate genome-wide association analysis in 139 dizygotic twin pairs identified 26 associated SNPs with p < 10(−5). Further gene-based analysis found 291 nominally associated genes (P < 0.05), including F12, HCRTR1, PHOSPHO1, DOCK2, DOCK6, DGKB, GLP1R, TRHR, MMP1, GPR55, CCK, and OR2AK2, as well as 6 enriched gene-sets with FDR < 0.05. Expression quantitative trait loci analysis identified rs2242044 as a significant cis-eQTL in both the normal adipose-subcutaneous (P = 1.7 × 10(−9)) and adipose-visceral (P = 4.4 × 10(−15)) tissue. These findings may provide an important entry point to unravel genetic pleiotropy in obesity traits.
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spelling pubmed-59648722018-06-04 Genetics of Obesity Traits: A Bivariate Genome-Wide Association Analysis Wu, Yili Duan, Haiping Tian, Xiaocao Xu, Chunsheng Wang, Weijing Jiang, Wenjie Pang, Zengchang Zhang, Dongfeng Tan, Qihua Front Genet Genetics Previous genome-wide association studies on anthropometric measurements have identified more than 100 related loci, but only a small portion of heritability in obesity was explained. Here we present a bivariate twin study to look for the genetic variants associated with body mass index and waist-hip ratio, and to explore the obesity-related pathways in Northern Han Chinese. Cholesky decomposition model for 242 monozygotic and 140 dizygotic twin pairs indicated a moderate genetic correlation (r = 0.53, 95%CI: 0.42–0.64) between body mass index and waist-hip ratio. Bivariate genome-wide association analysis in 139 dizygotic twin pairs identified 26 associated SNPs with p < 10(−5). Further gene-based analysis found 291 nominally associated genes (P < 0.05), including F12, HCRTR1, PHOSPHO1, DOCK2, DOCK6, DGKB, GLP1R, TRHR, MMP1, GPR55, CCK, and OR2AK2, as well as 6 enriched gene-sets with FDR < 0.05. Expression quantitative trait loci analysis identified rs2242044 as a significant cis-eQTL in both the normal adipose-subcutaneous (P = 1.7 × 10(−9)) and adipose-visceral (P = 4.4 × 10(−15)) tissue. These findings may provide an important entry point to unravel genetic pleiotropy in obesity traits. Frontiers Media S.A. 2018-05-16 /pmc/articles/PMC5964872/ /pubmed/29868124 http://dx.doi.org/10.3389/fgene.2018.00179 Text en Copyright © 2018 Wu, Duan, Tian, Xu, Wang, Jiang, Pang, Zhang and Tan. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Wu, Yili
Duan, Haiping
Tian, Xiaocao
Xu, Chunsheng
Wang, Weijing
Jiang, Wenjie
Pang, Zengchang
Zhang, Dongfeng
Tan, Qihua
Genetics of Obesity Traits: A Bivariate Genome-Wide Association Analysis
title Genetics of Obesity Traits: A Bivariate Genome-Wide Association Analysis
title_full Genetics of Obesity Traits: A Bivariate Genome-Wide Association Analysis
title_fullStr Genetics of Obesity Traits: A Bivariate Genome-Wide Association Analysis
title_full_unstemmed Genetics of Obesity Traits: A Bivariate Genome-Wide Association Analysis
title_short Genetics of Obesity Traits: A Bivariate Genome-Wide Association Analysis
title_sort genetics of obesity traits: a bivariate genome-wide association analysis
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5964872/
https://www.ncbi.nlm.nih.gov/pubmed/29868124
http://dx.doi.org/10.3389/fgene.2018.00179
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