Literature DB >> 25292021

Adiponectin receptor 1 (ADIPOR1) rs1342387 polymorphism and risk of cancer: a meta-analysis.

Li-Xiang Yu1, Nan-Nan Zhou, Li-Yuan Liu, Fei Wang, Zhong-Bing Ma, Jie Li, Zhi-Gang Yu.   

Abstract

Many studies have indicated possible associations between a polymorphism of adiponectin receptor 1 (ADIPOR1) rs1342387 and risk of cancer, but contradictory results have been reported. The main aim of this study was to draw a reliable conclusion about the relationship between the rs1342387 polymorphism and cancer incidence, by conducting a literature search of Pubmed, Embase, Wanfang and Cochrane libraries. Eleven studies including 3, 738 cases and 4, 748 controls were identified in this meta-analysis. The ADIPOR1 rs1342387 polymorphism was associated with risk of colorectal cancer for all genetic comparison models (GG vs AA, OR: 1.44, 95%CI: 1.21 -1.70; G carriers vs A carriers, OR: 1.23, 95%CI: 1.11 -1.36; dominant model, OR: 1.28, 95%CI: 1.10 -1.49 and recessive model, OR: 1.31, 95%CI: 1.12 -1.55). Stratified by ethnicity, the rs1342387 polymorphism was significantly associated with risk of colorectal cancer in Asian ancestry for all genetic comparison models (GG vs AA, OR: 1.56, 95%CI: 1.26-1.92; G carriers vs. A carriers OR: 1.30, 95%CI: 1.18 -1.43; dominant model OR: 1.31, 95%CI: 1.08 -1.60 and recessive model OR: 1.44, 95%CI: 1.26 -1.64), but not in Caucasian or mixed (Caucasian mainly) groups. In summary, the ADIPOR1 rs1342387 polymorphism is significantly associated with risk of colorectal cancer among individuals of Asian ancestry.

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Year:  2014        PMID: 25292021     DOI: 10.7314/apjcp.2014.15.18.7515

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  2 in total

1.  Association of ADIPOQ and ADIPOR variants with risk of colorectal cancer: A meta-analysis.

Authors:  Xuan Tan; Guo-Bin Wang; Yong Tang; Jie Bai; Lin Ye
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2017-04-11

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

Authors:  Jiaxiang Ye; Li Jiang; Changliang Wu; Aiqun Liu; Sufei Mao; Lianying Ge
Journal:  PLoS One       Date:  2015-06-05       Impact factor: 3.240

  2 in total

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