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Meta-analyses between 18 candidate genetic markers and overweight/obesity
AIMS: The goal of our study is to investigate the associations between 18 candidate genetic markers and overweight/obesity. METHODS: A total of 72 eligible articles were retrieved from literature databases including PubMed, Embase, SpingerLink, Web of Science, Chinese National Knowledge Infrastructu...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4008255/ https://www.ncbi.nlm.nih.gov/pubmed/24621099 http://dx.doi.org/10.1186/1746-1596-9-56 |
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author | Tang, Linlin Ye, Huadan Hong, Qingxiao Chen, Fei Wang, Qinwen Xu, Leiting Bu, Shizhong Liu, Qiong Ye, Meng Wang, Dao Wen Mai, Yifeng Duan, Shiwei |
author_facet | Tang, Linlin Ye, Huadan Hong, Qingxiao Chen, Fei Wang, Qinwen Xu, Leiting Bu, Shizhong Liu, Qiong Ye, Meng Wang, Dao Wen Mai, Yifeng Duan, Shiwei |
author_sort | Tang, Linlin |
collection | PubMed |
description | AIMS: The goal of our study is to investigate the associations between 18 candidate genetic markers and overweight/obesity. METHODS: A total of 72 eligible articles were retrieved from literature databases including PubMed, Embase, SpingerLink, Web of Science, Chinese National Knowledge Infrastructure (CNKI), and Wanfang. Meta-analyses of 18 genetic markers among 56,738 controls and 48,148 overweight/obese persons were done by Review Manager 5.0. RESULTS: Our results showed that SH2B1 rs7498665 polymorphism was significantly associated with the risk of overweight/obesity (overall odds ratio (OR) = 1.21, 95% confidence interval (CI) = 1.09-1.34, P = 0.0004). Increased risk of overweight/obesity was also observed in FAIM2 rs7138803 polymorphism (overall OR = 1.11, 95% CI = 1.01-1.22, P = 0.04). CONCLUSION: Our meta-analyses have shown the important role of 2 polymorphisms (SH2B1 rs7498665 and FAIM2 rs7138803) in the development of overweight/obesity. This study highlighted the importance of above two candidate genes (SH2B1 and FAIM2) in the risk of overweight/obesity. VIRTUAL SLIDES: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/2785487401176182. |
format | Online Article Text |
id | pubmed-4008255 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40082552014-05-03 Meta-analyses between 18 candidate genetic markers and overweight/obesity Tang, Linlin Ye, Huadan Hong, Qingxiao Chen, Fei Wang, Qinwen Xu, Leiting Bu, Shizhong Liu, Qiong Ye, Meng Wang, Dao Wen Mai, Yifeng Duan, Shiwei Diagn Pathol Research AIMS: The goal of our study is to investigate the associations between 18 candidate genetic markers and overweight/obesity. METHODS: A total of 72 eligible articles were retrieved from literature databases including PubMed, Embase, SpingerLink, Web of Science, Chinese National Knowledge Infrastructure (CNKI), and Wanfang. Meta-analyses of 18 genetic markers among 56,738 controls and 48,148 overweight/obese persons were done by Review Manager 5.0. RESULTS: Our results showed that SH2B1 rs7498665 polymorphism was significantly associated with the risk of overweight/obesity (overall odds ratio (OR) = 1.21, 95% confidence interval (CI) = 1.09-1.34, P = 0.0004). Increased risk of overweight/obesity was also observed in FAIM2 rs7138803 polymorphism (overall OR = 1.11, 95% CI = 1.01-1.22, P = 0.04). CONCLUSION: Our meta-analyses have shown the important role of 2 polymorphisms (SH2B1 rs7498665 and FAIM2 rs7138803) in the development of overweight/obesity. This study highlighted the importance of above two candidate genes (SH2B1 and FAIM2) in the risk of overweight/obesity. VIRTUAL SLIDES: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/2785487401176182. BioMed Central 2014-03-12 /pmc/articles/PMC4008255/ /pubmed/24621099 http://dx.doi.org/10.1186/1746-1596-9-56 Text en Copyright © 2014 Tang et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Tang, Linlin Ye, Huadan Hong, Qingxiao Chen, Fei Wang, Qinwen Xu, Leiting Bu, Shizhong Liu, Qiong Ye, Meng Wang, Dao Wen Mai, Yifeng Duan, Shiwei Meta-analyses between 18 candidate genetic markers and overweight/obesity |
title | Meta-analyses between 18 candidate genetic markers and overweight/obesity |
title_full | Meta-analyses between 18 candidate genetic markers and overweight/obesity |
title_fullStr | Meta-analyses between 18 candidate genetic markers and overweight/obesity |
title_full_unstemmed | Meta-analyses between 18 candidate genetic markers and overweight/obesity |
title_short | Meta-analyses between 18 candidate genetic markers and overweight/obesity |
title_sort | meta-analyses between 18 candidate genetic markers and overweight/obesity |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4008255/ https://www.ncbi.nlm.nih.gov/pubmed/24621099 http://dx.doi.org/10.1186/1746-1596-9-56 |
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