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Associations of Plasma FGF2 Levels and Polymorphisms in the FGF2 Gene with Obesity Phenotypes in Han Chinese Population

Obesity is highly heritable, but the specific genes influencing obesity related traits are largely unknown. Fibroblast growth factor 2 (FGF2) could influence adipocyte differentiation. However, the association of FGF2 polymorphisms and obesity remains unclear. This study aimed to investigate the ass...

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Autores principales: Hao, Ruo-Han, Guo, Yan, Dong, Shan-Shan, Weng, Gai-Zhi, Yan, Han, Zhu, Dong-Li, Chen, Xiao-Feng, Chen, Jia-Bin, Yang, Tie-Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4754629/
https://www.ncbi.nlm.nih.gov/pubmed/26879180
http://dx.doi.org/10.1038/srep19868
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author Hao, Ruo-Han
Guo, Yan
Dong, Shan-Shan
Weng, Gai-Zhi
Yan, Han
Zhu, Dong-Li
Chen, Xiao-Feng
Chen, Jia-Bin
Yang, Tie-Lin
author_facet Hao, Ruo-Han
Guo, Yan
Dong, Shan-Shan
Weng, Gai-Zhi
Yan, Han
Zhu, Dong-Li
Chen, Xiao-Feng
Chen, Jia-Bin
Yang, Tie-Lin
author_sort Hao, Ruo-Han
collection PubMed
description Obesity is highly heritable, but the specific genes influencing obesity related traits are largely unknown. Fibroblast growth factor 2 (FGF2) could influence adipocyte differentiation. However, the association of FGF2 polymorphisms and obesity remains unclear. This study aimed to investigate the associations of both the plasma FGF2 levels and SNPs in FGF2 gene with obesity phenotypes in Han Chinese populations. Plasma FGF2 levels were measured and subjected to association analyses in 62 subjects. Eleven SNPs in FGF2 were genotyped and tested for associations in a discovery sample of 1,300 subjects. SNPs significantly associated with obesity were subjected to replication in another independent sample of 1,035 subjects. We found that plasma FGF2 levels were positively correlated with fat mass (P = 0.010). Association analyses in the discovery sample identified three SNPs (rs1449683, rs167428, rs308442) significantly associated with fat mass after multiple testing adjustments (P < 0.0045). Subsequent replication study successfully validated one SNP (rs167428) associated with fat mass (P(combine) = 3.46 × 10(−5)). eQTL analyses revealed that SNPs associated with obesity also affected FGF2 expression. Our findings suggested that high plasma FGF2 level correlated with increased risk of obesity, and FGF2 gene polymorphisms could affect individual variances of obesity in Han Chinese population.
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spelling pubmed-47546292016-02-24 Associations of Plasma FGF2 Levels and Polymorphisms in the FGF2 Gene with Obesity Phenotypes in Han Chinese Population Hao, Ruo-Han Guo, Yan Dong, Shan-Shan Weng, Gai-Zhi Yan, Han Zhu, Dong-Li Chen, Xiao-Feng Chen, Jia-Bin Yang, Tie-Lin Sci Rep Article Obesity is highly heritable, but the specific genes influencing obesity related traits are largely unknown. Fibroblast growth factor 2 (FGF2) could influence adipocyte differentiation. However, the association of FGF2 polymorphisms and obesity remains unclear. This study aimed to investigate the associations of both the plasma FGF2 levels and SNPs in FGF2 gene with obesity phenotypes in Han Chinese populations. Plasma FGF2 levels were measured and subjected to association analyses in 62 subjects. Eleven SNPs in FGF2 were genotyped and tested for associations in a discovery sample of 1,300 subjects. SNPs significantly associated with obesity were subjected to replication in another independent sample of 1,035 subjects. We found that plasma FGF2 levels were positively correlated with fat mass (P = 0.010). Association analyses in the discovery sample identified three SNPs (rs1449683, rs167428, rs308442) significantly associated with fat mass after multiple testing adjustments (P < 0.0045). Subsequent replication study successfully validated one SNP (rs167428) associated with fat mass (P(combine) = 3.46 × 10(−5)). eQTL analyses revealed that SNPs associated with obesity also affected FGF2 expression. Our findings suggested that high plasma FGF2 level correlated with increased risk of obesity, and FGF2 gene polymorphisms could affect individual variances of obesity in Han Chinese population. Nature Publishing Group 2016-02-16 /pmc/articles/PMC4754629/ /pubmed/26879180 http://dx.doi.org/10.1038/srep19868 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Hao, Ruo-Han
Guo, Yan
Dong, Shan-Shan
Weng, Gai-Zhi
Yan, Han
Zhu, Dong-Li
Chen, Xiao-Feng
Chen, Jia-Bin
Yang, Tie-Lin
Associations of Plasma FGF2 Levels and Polymorphisms in the FGF2 Gene with Obesity Phenotypes in Han Chinese Population
title Associations of Plasma FGF2 Levels and Polymorphisms in the FGF2 Gene with Obesity Phenotypes in Han Chinese Population
title_full Associations of Plasma FGF2 Levels and Polymorphisms in the FGF2 Gene with Obesity Phenotypes in Han Chinese Population
title_fullStr Associations of Plasma FGF2 Levels and Polymorphisms in the FGF2 Gene with Obesity Phenotypes in Han Chinese Population
title_full_unstemmed Associations of Plasma FGF2 Levels and Polymorphisms in the FGF2 Gene with Obesity Phenotypes in Han Chinese Population
title_short Associations of Plasma FGF2 Levels and Polymorphisms in the FGF2 Gene with Obesity Phenotypes in Han Chinese Population
title_sort associations of plasma fgf2 levels and polymorphisms in the fgf2 gene with obesity phenotypes in han chinese population
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4754629/
https://www.ncbi.nlm.nih.gov/pubmed/26879180
http://dx.doi.org/10.1038/srep19868
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