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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
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.
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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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