ZHOU Jun Mei; ZHANG Ming; WANG Shu; WANG Bing Yuan; HAN Cheng Yi; REN Yong Cheng; ZHANG Lu; ZHANG Hong Yan; YANG Xiang Yu; ZHAO Yang; HU Dong Sheng

doi:10.3967/bes2016.066

Association of the ADIPOQ Rs2241766 and Rs266729 Polymorphisms with Metabolic Syndrome in the Chinese Population：A Meta-analysis

ZHOU Jun Mei, ZHANG Ming, WANG Shu, WANG Bing Yuan, HAN Cheng Yi, REN Yong Cheng, ZHANG Lu, ZHANG Hong Yan, YANG Xiang Yu, ZHAO Yang, HU Dong Sheng

文章导航 > Biomedical and Environmental Sciences > 2016 > 29(7): 505-515

ZHOU Jun Mei, ZHANG Ming, WANG Shu, WANG Bing Yuan, HAN Cheng Yi, REN Yong Cheng, ZHANG Lu, ZHANG Hong Yan, YANG Xiang Yu, ZHAO Yang, HU Dong Sheng. Association of the ADIPOQ Rs2241766 and Rs266729 Polymorphisms with Metabolic Syndrome in the Chinese Population：A Meta-analysis[J]. Biomedical and Environmental Sciences, 2016, 29(7): 505-515. doi: 10.3967/bes2016.066

Citation:

ZHOU Jun Mei, ZHANG Ming, WANG Shu, WANG Bing Yuan, HAN Cheng Yi, REN Yong Cheng, ZHANG Lu, ZHANG Hong Yan, YANG Xiang Yu, ZHAO Yang, HU Dong Sheng. Association of the ADIPOQ Rs2241766 and Rs266729 Polymorphisms with Metabolic Syndrome in the Chinese Population：A Meta-analysis[J]. Biomedical and Environmental Sciences, 2016, 29(7): 505-515. doi: 10.3967/bes2016.066

doi: 10.3967/bes2016.066

基金项目: This study was supported by grants from the National Natural Science Foundation of China (grant .81373074 and 81402752)

Association of the ADIPOQ Rs2241766 and Rs266729 Polymorphisms with Metabolic Syndrome in the Chinese Population：A Meta-analysis

Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen 518060, Guangdong, China
School of Basic Medicine, Shenzhen University Health Sciences Center, Shenzhen 518060, Guangdong, China
Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450003, Henan, China

Funds: This study was supported by grants from the National Natural Science Foundation of China (grant .81373074 and 81402752)

摘要: Objective This meta-analysis was performed to summarize the association of the ADIPOQ rs2241766 and rs266729 polymorphisms with metabolic syndrome (MS) in the Chinese population.
Methods We searched for articles in MEDLINE via PubMed, EMBASE, HuGE Navigator, CNKI, and Wanfang databases and calculated odds ratios (ORs) with 95% confidence intervals (CIs) to determine the strength of associations in fixed- or random-effects models.
Results We included 21 articles in the meta-analysis: 17 reports of ADIPOQ rs2241766 with 3628 cases and 3000 controls and 8 of rs266729 with 2021 cases and 2226 controls. We found an increased risk of MS with the ADIPOQ rs2241766 polymorphism in some genetic models (allele model: OR=1.12, 95% CI:1.03-1.21; dominant model: OR=1.15, 95% CI: 1.04-1.28; homozygote model: OR=1.22, 95% CI:1.00-1.49) but no association with the ADIPOQ rs266729 polymorphism (allele model: OR=0.98, 95% CI:0.82-1.17; dominant model: OR=0.90, 95% CI: 0.79-1.02; recessive model: OR=1.09, 95% CI: 0.85-1.39;homozygote model: OR=1.03, 95% CI: 0.80-1.33).
Conclusion The results of this meta-analysis suggest an association between the ADIPOQ rs2241766 polymorphism and MS in the Chinese population. G allele of ADIPOQ rs2241766 increases the risk of MS. Better designed studies with different ethnic populations and larger sample sizes are needed for assessing the relationship between ADIPOQ rs2241766 and rs266729 polymorphisms and MS in the future.
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Abstract: Objective This meta-analysis was performed to summarize the association of the ADIPOQ rs2241766 and rs266729 polymorphisms with metabolic syndrome (MS) in the Chinese population.
Methods We searched for articles in MEDLINE via PubMed, EMBASE, HuGE Navigator, CNKI, and Wanfang databases and calculated odds ratios (ORs) with 95% confidence intervals (CIs) to determine the strength of associations in fixed- or random-effects models.
Results We included 21 articles in the meta-analysis: 17 reports of ADIPOQ rs2241766 with 3628 cases and 3000 controls and 8 of rs266729 with 2021 cases and 2226 controls. We found an increased risk of MS with the ADIPOQ rs2241766 polymorphism in some genetic models (allele model: OR=1.12, 95% CI:1.03-1.21; dominant model: OR=1.15, 95% CI: 1.04-1.28; homozygote model: OR=1.22, 95% CI:1.00-1.49) but no association with the ADIPOQ rs266729 polymorphism (allele model: OR=0.98, 95% CI:0.82-1.17; dominant model: OR=0.90, 95% CI: 0.79-1.02; recessive model: OR=1.09, 95% CI: 0.85-1.39;homozygote model: OR=1.03, 95% CI: 0.80-1.33).
Conclusion The results of this meta-analysis suggest an association between the ADIPOQ rs2241766 polymorphism and MS in the Chinese population. G allele of ADIPOQ rs2241766 increases the risk of MS. Better designed studies with different ethnic populations and larger sample sizes are needed for assessing the relationship between ADIPOQ rs2241766 and rs266729 polymorphisms and MS in the future.
- ADIPOQ /
- Polymorphisms /
- Metabolic syndrome /
- Meta-analysis

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Association of the ADIPOQ Rs2241766 and Rs266729 Polymorphisms with Metabolic Syndrome in the Chinese Population：A Meta-analysis

doi: 10.3967/bes2016.066

基金项目: This study was supported by grants from the National Natural Science Foundation of China (grant .81373074 and 81402752)

刊出日期: 2016-07-20

关键词:

ADIPOQ /

Polymorphisms /

Metabolic syndrome /

Meta-analysis

摘要: Objective This meta-analysis was performed to summarize the association of the ADIPOQ rs2241766 and rs266729 polymorphisms with metabolic syndrome (MS) in the Chinese population.
Methods We searched for articles in MEDLINE via PubMed, EMBASE, HuGE Navigator, CNKI, and Wanfang databases and calculated odds ratios (ORs) with 95% confidence intervals (CIs) to determine the strength of associations in fixed- or random-effects models.
Results We included 21 articles in the meta-analysis: 17 reports of ADIPOQ rs2241766 with 3628 cases and 3000 controls and 8 of rs266729 with 2021 cases and 2226 controls. We found an increased risk of MS with the ADIPOQ rs2241766 polymorphism in some genetic models (allele model: OR=1.12, 95% CI:1.03-1.21; dominant model: OR=1.15, 95% CI: 1.04-1.28; homozygote model: OR=1.22, 95% CI:1.00-1.49) but no association with the ADIPOQ rs266729 polymorphism (allele model: OR=0.98, 95% CI:0.82-1.17; dominant model: OR=0.90, 95% CI: 0.79-1.02; recessive model: OR=1.09, 95% CI: 0.85-1.39;homozygote model: OR=1.03, 95% CI: 0.80-1.33).
Conclusion The results of this meta-analysis suggest an association between the ADIPOQ rs2241766 polymorphism and MS in the Chinese population. G allele of ADIPOQ rs2241766 increases the risk of MS. Better designed studies with different ethnic populations and larger sample sizes are needed for assessing the relationship between ADIPOQ rs2241766 and rs266729 polymorphisms and MS in the future.

English Abstract

Association of the ADIPOQ Rs2241766 and Rs266729 Polymorphisms with Metabolic Syndrome in the Chinese Population：A Meta-analysis

Department of Preventive Medicine, Shenzhen University Health Sciences Center, Shenzhen 518060, Guangdong, China

School of Basic Medicine, Shenzhen University Health Sciences Center, Shenzhen 518060, Guangdong, China

Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou 450003, Henan, China

Funds: This study was supported by grants from the National Natural Science Foundation of China (grant .81373074 and 81402752)

Publish Date: 2016-07-20

Keywords:

Abstract: Objective This meta-analysis was performed to summarize the association of the ADIPOQ rs2241766 and rs266729 polymorphisms with metabolic syndrome (MS) in the Chinese population.
Methods We searched for articles in MEDLINE via PubMed, EMBASE, HuGE Navigator, CNKI, and Wanfang databases and calculated odds ratios (ORs) with 95% confidence intervals (CIs) to determine the strength of associations in fixed- or random-effects models.
Results We included 21 articles in the meta-analysis: 17 reports of ADIPOQ rs2241766 with 3628 cases and 3000 controls and 8 of rs266729 with 2021 cases and 2226 controls. We found an increased risk of MS with the ADIPOQ rs2241766 polymorphism in some genetic models (allele model: OR=1.12, 95% CI:1.03-1.21; dominant model: OR=1.15, 95% CI: 1.04-1.28; homozygote model: OR=1.22, 95% CI:1.00-1.49) but no association with the ADIPOQ rs266729 polymorphism (allele model: OR=0.98, 95% CI:0.82-1.17; dominant model: OR=0.90, 95% CI: 0.79-1.02; recessive model: OR=1.09, 95% CI: 0.85-1.39;homozygote model: OR=1.03, 95% CI: 0.80-1.33).
Conclusion The results of this meta-analysis suggest an association between the ADIPOQ rs2241766 polymorphism and MS in the Chinese population. G allele of ADIPOQ rs2241766 increases the risk of MS. Better designed studies with different ethnic populations and larger sample sizes are needed for assessing the relationship between ADIPOQ rs2241766 and rs266729 polymorphisms and MS in the future.

Citation:

ZHOU Jun Mei, ZHANG Ming, WANG Shu, WANG Bing Yuan, HAN Cheng Yi, REN Yong Cheng, ZHANG Lu, ZHANG Hong Yan, YANG Xiang Yu, ZHAO Yang, HU Dong Sheng. Association of the ADIPOQ Rs2241766 and Rs266729 Polymorphisms with Metabolic Syndrome in the Chinese Population：A Meta-analysis[J]. Biomedical and Environmental Sciences, 2016, 29(7): 505-515. doi: 10.3967/bes2016.066