Quantitative Assessment of the Association between Genetic Variants in MicroRNAs and Colorectal Cancer Risk

Table 1

Characteristics of the studies included in the meta-analysis.

First author	Year	Country	Ethnicity	Genotyping method	Source of control	Number (case/control)	SNP number
Dikaiakos [28]	2015	Greek	Caucasian	PCR-RFLP	HB	157/299	1, 3, 4
Kupcinskas [29]	2014	Lithuania, Latvia	Caucasian	TaqMan	HB	193/428	1, 3
Mao [30]	2014	China	Asian	SNPScan	PB	554/566	1
Hu [31]	2014	China	Asian	PCR-RFLP	HB	276/373	1, 4
Wu [15]	2014	China	Asian	ASA	HB	175/300	1, 2, 4
Lv [8]	2013	China	Asian	PCR-RFLP	PB	353/540	1, 2, 3, 4
Chae [21]	2013	Korea	Asian	PCR-RFLP	PB	399/568	1
Ma [32]	2013	China	Asian	TaqMan	PB	1147/1203	1
Vinci [16]	2013	Italy	Caucasian	TaqMan	HB	160/178	1, 2, 3, 4
Zhang [17]	2012	China	Asian	PCR-RFLP	PB	478/477	2, 3
Hezova [20]	2012	Czech	Caucasian	TaqMan	HB	197/212	1, 3
Min [22]	2012	Korea	Asian	PCR-RFLP	PB	446/502	1, 2, 3, 4
Zhu [33]	2012	China	Asian	TaqMan	PB	573/588	3
Chen [34]	2012	China	Asian	PCR-LDR	HB	126/407	3
Zhan [35]	2011	China	Asian	PCR-RFLP	PB	252/543	3

HWE: Hardy-Weinberg equilibrium; PB: population based; HB: hospital based; PCR: polymerase chain reaction; RFLP: restriction fragment length polymorphism; LDR: ligation detection reaction; ASA: allele-specific amplification; SNP: single-nucleotide polymorphisms; SNP number 1: miR-146-a G>C (rs2910164); 2: miR-149 C>T (rs2292832); 3: miR-196a-2 C>T (rs11614913); 4: miR-499 A>G (rs3746444).