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Three ADIPOR1 Polymorphisms and Cancer Risk: A Meta-Analysis of Case-Control Studies

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  • Jiaxiang Ye
  • Li Jiang
  • Changliang Wu
  • Aiqun Liu
  • Sufei Mao
  • Lianying Ge

Abstract

Background: Studies have come to conflicting conclusions about whether polymorphisms in the adiponectin receptor 1 gene (ADIPOR1) are associated with cancer risk. To help resolve this question, we meta-analyzed case-control studies in the literature. Methods: PubMed, EMBASE, Cochrane Library, the Chinese Biological Medical Database and the Chinese National Knowledge Infrastructure Database were systematically searched to identify all case-control studies published through February 2015 examining any ADIPOR1 polymorphisms and risk of any type of cancer. Pooled odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were calculated. Results: A total of 13 case-control studies involving 5,750 cases and 6,762 controls were analyzed. Analysis of the entire study population revealed a significant association between rs1342387(G/A) and overall cancer risk using a homozygous model (OR 0.82, 95%CI 0.72 to 0.94), heterozygous model (OR 0.84, 95%CI 0.76 to 0.93), dominant model (OR 0.85, 95%CI 0.75 to 0.97) and allele contrast model (OR 0.88, 95%CI 0.80 to 0.97). However, subgroup analysis showed that this association was significant only for Asians in the case of colorectal cancer. No significant associations were found between rs12733285(C/T) or rs7539542(C/G) and cancer risk, either in analyses of the entire study population or in analyses of subgroups. Conclusions: Our meta-analysis suggests that the ADIPOR1 rs1342387(G/A) polymorphism, but not rs12733285(C/T) or rs7539542(C/G), may be associated with cancer risk, especially risk of colorectal cancer in Asians. Large, well-designed studies are needed to verify our findings.

Suggested Citation

  • Jiaxiang Ye & Li Jiang & Changliang Wu & Aiqun Liu & Sufei Mao & Lianying Ge, 2015. "Three ADIPOR1 Polymorphisms and Cancer Risk: A Meta-Analysis of Case-Control Studies," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-14, June.
    • Handle: RePEc:plo:pone00:0127253
    DOI: 10.1371/journal.pone.0127253
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    References listed on IDEAS

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    1. 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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