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Association between Common Polymorphism near the MC4R Gene and Obesity Risk: A Systematic Review and Meta-Analysis

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  • Bo Xi
  • Giriraj R Chandak
  • Yue Shen
  • Qijuan Wang
  • Donghao Zhou

Abstract

Background: Genome-wide association studies on Europeans have shown that two polymorphisms (rs17782313, rs12970134) near the melanocortin 4 receptor (MC4R) gene were associated with increased risk of obesity. Subsequently studies among different ethnic populations have shown mixed results with some confirming and others showing inconsistent results, especially among East Asians and Africans. We performed a comprehensive meta-analysis of various studies from different ethnic populations to assess the association of the MC4R polymorphism with obesity risk. Methods: We retrieved all published literature that investigated association of MC4R variants with obesity from PubMed and Embase. Pooled odds ratio (OR) with 95% confidence interval (CI) was calculated using fixed- or random-effects model. Results: A total of 61 studies (80,957 cases/220,223 controls) for rs17782313 polymorphism (or proxy) were included in the meta-analysis. The results suggested that rs17782313 polymorphism was significantly associated with obesity risk (OR = 1.18, 95%CI = 1.15–1.21, p

Suggested Citation

  • Bo Xi & Giriraj R Chandak & Yue Shen & Qijuan Wang & Donghao Zhou, 2012. "Association between Common Polymorphism near the MC4R Gene and Obesity Risk: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-7, September.
    • Handle: RePEc:plo:pone00:0045731
    DOI: 10.1371/journal.pone.0045731
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    1. André Scherag & Christian Dina & Anke Hinney & Vincent Vatin & Susann Scherag & Carla I G Vogel & Timo D Müller & Harald Grallert & H-Erich Wichmann & Beverley Balkau & Barbara Heude & Marjo-Riitta Ja, 2010. "Two New Loci for Body-Weight Regulation Identified in a Joint Analysis of Genome-Wide Association Studies for Early-Onset Extreme Obesity in French and German Study Groups," PLOS Genetics, Public Library of Science, vol. 6(4), pages 1-10, April.
    2. Lavinia Paternoster & David M Evans & Ellen Aagaard Nohr & Claus Holst & Valerie Gaborieau & Paul Brennan & Anette Prior Gjesing & Niels Grarup & Daniel R Witte & Torben Jørgensen & Allan Linneberg & , 2011. "Genome-Wide Population-Based Association Study of Extremely Overweight Young Adults – The GOYA Study," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-9, September.
    3. Zhenglun Pan & Thomas A Trikalinos & Fotini K Kavvoura & Joseph Lau & John PA Ioannidis, 2005. "Local Literature Bias in Genetic Epidemiology: An Empirical Evaluation of the Chinese Literature," PLOS Medicine, Public Library of Science, vol. 2(12), pages 1-1, November.
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    1. Chibo Liu & Sihua Mou & Yangqun Cai, 2013. "FTO Gene Variant and Risk of Overweight and Obesity among Children and Adolescents: a Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-1, November.
    2. Deng Ao & Hai-jun Wang & Li-fang Wang & Jie-yun Song & Hui-xia Yang & Yan Wang, 2015. "The rs2237892 Polymorphism in KCNQ1 Influences Gestational Diabetes Mellitus and Glucose Levels: A Case-Control Study and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-11, June.
    3. Qi Zhu & Kun Xue & Hong Wei Guo & Fei Fei Deng & Yu Huan Yang, 2020. "Interaction of the CMTM7 rs347134 Polymorphism with Dietary Patterns and the Risk of Obesity in Han Chinese Male Children," IJERPH, MDPI, vol. 17(5), pages 1-15, February.

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