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Association between IGF-1 polymorphisms and risk of osteoporosis in Chinese population: a meta-analysis
BACKGROUND: Several studies looking into the association between insulin-like growth factor-1 (IGF-1) gene polymorphisms and osteoporosis predisposition have been conducted among Chinese population with conflicting outcomes. The present systematic review and meta-analysis was performed to appraise a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5944070/ https://www.ncbi.nlm.nih.gov/pubmed/29747606 http://dx.doi.org/10.1186/s12891-018-2066-y |
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author | Gao, Shu-tao Lv, Zheng-tao Zhou, Chuan-kun Mao, Chao Sheng, Wei-bin |
author_facet | Gao, Shu-tao Lv, Zheng-tao Zhou, Chuan-kun Mao, Chao Sheng, Wei-bin |
author_sort | Gao, Shu-tao |
collection | PubMed |
description | BACKGROUND: Several studies looking into the association between insulin-like growth factor-1 (IGF-1) gene polymorphisms and osteoporosis predisposition have been conducted among Chinese population with conflicting outcomes. The present systematic review and meta-analysis was performed to appraise and synthesize the existing evidence, so as to provide a more precise and reliable association between polymorphisms in IGF-1 gene and osteoporosis. METHODS: Five electronic databases including PubMed, EMBASE, ISI Web of Science, CNKI and Wanfang were systematically searched for potential studies. Summary odds ratio (OR) and corresponding 95% confidence interval (95% CI) were calculated to evaluate the association. The best-matching genetic model of inheritance was determined using a genetic-model free approach. RESULTS: Six case-control studies comprising 2068 osteoporosis patients and 2071 healthy controls were obtained for the meta-analysis. Dominant model was confirmed to be the best-matching genetic model (TT + TC versus CC). The overall data suggested that rs35767 polymorphism was significantly associated with osteoporosis vulnerability (OR 1.21, 95% CI 1.07, 1.37; P = 0.002). When stratifying the participants and performing subgroup-analysis according to source of patients, the result suggested that rs35767 was significantly correlated to osteoporosis in post-menopausal women subgroup (OR 1.29, 95% CI 1.08, 1.54; P = 0.005), but the correlation was not established in the subgroup of both gender (OR 1.14, 95% CI 0.96, 1.35; P = 0.12). CONCLUSION: Taken together, the findings of our current study suggested a significant association between rs35767 polymorphism and risk of osteoporosis in Chinese post-menopausal women. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12891-018-2066-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5944070 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59440702018-05-14 Association between IGF-1 polymorphisms and risk of osteoporosis in Chinese population: a meta-analysis Gao, Shu-tao Lv, Zheng-tao Zhou, Chuan-kun Mao, Chao Sheng, Wei-bin BMC Musculoskelet Disord Research Article BACKGROUND: Several studies looking into the association between insulin-like growth factor-1 (IGF-1) gene polymorphisms and osteoporosis predisposition have been conducted among Chinese population with conflicting outcomes. The present systematic review and meta-analysis was performed to appraise and synthesize the existing evidence, so as to provide a more precise and reliable association between polymorphisms in IGF-1 gene and osteoporosis. METHODS: Five electronic databases including PubMed, EMBASE, ISI Web of Science, CNKI and Wanfang were systematically searched for potential studies. Summary odds ratio (OR) and corresponding 95% confidence interval (95% CI) were calculated to evaluate the association. The best-matching genetic model of inheritance was determined using a genetic-model free approach. RESULTS: Six case-control studies comprising 2068 osteoporosis patients and 2071 healthy controls were obtained for the meta-analysis. Dominant model was confirmed to be the best-matching genetic model (TT + TC versus CC). The overall data suggested that rs35767 polymorphism was significantly associated with osteoporosis vulnerability (OR 1.21, 95% CI 1.07, 1.37; P = 0.002). When stratifying the participants and performing subgroup-analysis according to source of patients, the result suggested that rs35767 was significantly correlated to osteoporosis in post-menopausal women subgroup (OR 1.29, 95% CI 1.08, 1.54; P = 0.005), but the correlation was not established in the subgroup of both gender (OR 1.14, 95% CI 0.96, 1.35; P = 0.12). CONCLUSION: Taken together, the findings of our current study suggested a significant association between rs35767 polymorphism and risk of osteoporosis in Chinese post-menopausal women. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12891-018-2066-y) contains supplementary material, which is available to authorized users. BioMed Central 2018-05-10 /pmc/articles/PMC5944070/ /pubmed/29747606 http://dx.doi.org/10.1186/s12891-018-2066-y Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 Article Gao, Shu-tao Lv, Zheng-tao Zhou, Chuan-kun Mao, Chao Sheng, Wei-bin Association between IGF-1 polymorphisms and risk of osteoporosis in Chinese population: a meta-analysis |
title | Association between IGF-1 polymorphisms and risk of osteoporosis in Chinese population: a meta-analysis |
title_full | Association between IGF-1 polymorphisms and risk of osteoporosis in Chinese population: a meta-analysis |
title_fullStr | Association between IGF-1 polymorphisms and risk of osteoporosis in Chinese population: a meta-analysis |
title_full_unstemmed | Association between IGF-1 polymorphisms and risk of osteoporosis in Chinese population: a meta-analysis |
title_short | Association between IGF-1 polymorphisms and risk of osteoporosis in Chinese population: a meta-analysis |
title_sort | association between igf-1 polymorphisms and risk of osteoporosis in chinese population: a meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5944070/ https://www.ncbi.nlm.nih.gov/pubmed/29747606 http://dx.doi.org/10.1186/s12891-018-2066-y |
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