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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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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. |
format | Online Article Text |
id | pubmed-5964872 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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