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Int J Mol Epidemiol Genet 2010;1(4):358-366.
Original Article
Functional polymorphisms in two pre-microRNAs and cancer risk: a
meta-analysis
Tian Tian, Yan Xu, Juncheng Dai, JinChang Wu, Hongbing Shen, Zhibin Hu
Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 210029,
China; Suzhou Cancer Center Core Laboratory, Suzhou Municipal Hospital, Suzhou 215001, China; Cancer Center,
Nanjing Medical University, Nanjing 210029, China.
Received February 26, 2010, accepted March 29, 2010, available online April 5, 2010
Abstract: Since the identification of two functional polymorphisms in pre-miRNAs (miR-146a rs2910164 and miR-196a2
rs11614913), a number of studies were published in the past several years to evaluate the associations between the two
SNPs and cancer risk. However, the findings remain conflicting rather than conclusive. This metaanalysis included 12
published case-control studies, 5,916 cancer patients and 6,869 control subjects for SNP rs2910164, and 6,574 cases and
7,601 controls for SNP rs11614913. The allele C of rs11614913 was associated with a significantly increased risk of overall
cancers (CC vs. TT: OR=1.18; 95%CI: 1.02-1.37; CT vs. TT: OR=1.11; 95% CI: 1.02-1.21; CC/CT vs. TT: OR=1.13; 95%CI:
1.04-1.23). However, we failed to find main effects for rs2910164 on overall cancer risk in different genetic models tested, while
significantly increased risk was evident among cancers other than breast (GG/GC vs. CC: OR=1.30, 95%CI: 1.03-1.64; between
study heterogeneity test: P = 0.007). The two functional SNPs may represent tissue specific effect on cancer susceptibility;
however, additional well-designed large studies are required for the validation of the associations. (IJMEG1009001).
Key words: miRNA, polymorphism, cancer, susceptibility , meta-analysis
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Address all correspondence to:
Zhibin Hu, PhD, and Hongbing Shen, PhD
Department of Epidemiology and Biostatistics
Cancer Center, Nanjing Medical University,
140 Hanzhong Rd., Nanjing 210029, China.
Tel: +86-25-8686-2745, Fax: +86-25-8652-7613.
E-mail: zhibin_hu@njmu.edu.cn and hbshen@njmu.edu.cn
