title: Association of miR-146a rs2910164 polymorphism with cardio-cerebrovascular diseases: A systematic review and meta-analysis.
abstract: The microRNA146a rs2910164 polymorphism has been associated with the development of cardio-cerebrovascular diseases (CCDs); however, the results were inconsistent among different studies. The present report was aimed to investigate the association between rs2910164 G/C polymorphism and the risk of CCDs. Based on the data extracted from 12 eligible studies with a total of 5433 CCD cases and 6278 controls, we performed a meta-analysis to assess the diseases risk of rs2910164 G/C polymorphism under allelic contrast (C vs. G), homozygote comparisons (CC vs. GG), heterozygote comparisons (GC vs. GG), dominant model (CC+GC vs. GG) and recessive models (CC vs. GC+GG) in fixed or random effects models. We also conducted pathway enrichment analyses using the putative and validated miR-146a interacting targets to explore the functional impacts of rs2910164. The current meta-analysis results showed that rs2910164 CC genotype has a decreased risk with overall cardiovascular diseases and the specific coronary artery disease. Stratified analysis based on ethnicity showed that the CC genotype has a decreased risk with CCDs in Chinese population, but has an increased risk with CCDs in Korean and Indian populations. The results from pathway enrichment analysis also revealed the association of rs2910164 G allele with heart function and disease related pathways. Our findings suggested that miR-146a CC genotype might be a protective factor for cardiovascular diseases in Chinese population, but a risk factor in Korean and Indian populations.
authors: Institute of Medical Systems Biology, Dongguan Scientific Research Center, Guangdong Medical University, Dongguan, Guangdong 523808, China. Electronic address: dr.hyq@hotmail.com.
authors: Yuqing
authors: Y
authors: He
authors: Department of Epidemiology and Medical Statistics, Guangdong Medical University, Dongguan, Guangdong 523808, China.
authors: Jie
authors: J
authors: Yang
authors: Department of Epidemiology and Medical Statistics, Guangdong Medical University, Dongguan, Guangdong 523808, China.
authors: Danli
authors: D
authors: Kong
authors: Department of Epidemiology and Medical Statistics, Guangdong Medical University, Dongguan, Guangdong 523808, China.
authors: Juanjuan
authors: J
authors: Lin
authors: Department of Epidemiology and Medical Statistics, Guangdong Medical University, Dongguan, Guangdong 523808, China.
authors: Chengkai
authors: C
authors: Xu
authors: Department of Epidemiology and Medical Statistics, Guangdong Medical University, Dongguan, Guangdong 523808, China.
authors: Han
authors: H
authors: Ren
authors: Institute of Medical Systems Biology, Dongguan Scientific Research Center, Guangdong Medical University, Dongguan, Guangdong 523808, China.
authors: Ping
authors: P
authors: Ouyang
authors: Department of Epidemiology and Medical Statistics, Guangdong Medical University, Dongguan, Guangdong 523808, China.
authors: Yuanlin
authors: Y
authors: Ding
authors: Institute for Systems Biology, Seattle, WA 98109, USA. Electronic address: kwang@systemsbiology.org.
authors: Kai
authors: K
authors: Wang
mesh_terms: D000483:Alleles; D044466:Asian People / Q000235:genetics; D002318:Cardiovascular Diseases / Q000235:genetics*; D016022:Case-Control Studies; D020022:Genetic Predisposition to Disease / Q000235:genetics*; D005838:Genotype; D006801:Humans; D035683:MicroRNAs / Q000235:genetics*; D020641:Polymorphism, Single Nucleotide / Q000235:genetics*; D012306:Risk; D012307:Risk Factors
chemical_list: C542542:MIRN146 microRNA, human; D035683:MicroRNAs
keywords: Cardiovascular diseases; Cerebrovascular diseases; Coronary artery disease (CAD); Single nucleotide polymorphism; microRNA; microRNA146a