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Association of Genetic Variants With Moyamoya Disease in 13 000 Individuals
Author(s) -
Xiaotong Wang,
Yue Wang,
Fangfang Nie,
Qian Li,
Kaili Zhang,
Mengwei Liu,
Luping Yang,
Qian Zhang,
Shan Liu,
Fanxin Zeng,
Mengke Shang,
Man Liang,
Yuetian Yang,
Xiuping Liu,
Wanyang Liu
Publication year - 2020
Publication title -
stroke
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.397
H-Index - 319
eISSN - 1524-4628
pISSN - 0039-2499
DOI - 10.1161/strokeaha.120.029527
Subject(s) - medicine , odds ratio , meta analysis , allele , subgroup analysis , odds , moyamoya disease , sample size determination , statistical significance , genetic association , demography , genetics , genotype , logistic regression , gene , statistics , biology , single nucleotide polymorphism , mathematics , sociology
Background and Purpose— A growing body of evidence indicates genetic components play critical roles in moyamoya disease (MMD). Firm conclusions from studies of this disease have been stymied by small sample sizes and a lack of replicative results. This meta-analysis was conducted to determine whether these genetic polymorphisms are associated with MMD. Methods— PubMed, Google Scholar, Embase, Wanfang, Web of Science, and China National Knowledge Infrastructure databases were used to identify potentially relevant studies published until January 2020. The Review Manager 5.2 and Stata 15.0 software programs were used to perform the statistical analysis. Heterogeneity was assessed using the CochranQ test and quantified using theI 2 test.Results— Four thousand seven hundred eleven MMD cases and 8704 controls in 24 studies were included, evaluating 7 polymorphisms in 6 genes. The fixed-effect odds ratios (95% CI) in allelic model ofMMP-2 rs243865 were 0.60 (0.41–0.88) (P =0.008). In the country-based subgroup analysis, the fixed-effect odds ratios (95% CI) ofRNF213 rs112735431 in allelic model were China, 39.74 (26.63–59.31), Japan, 74.65 (42.79–130.24) and Korea, 50.04 (28.83–86.88; allP <0.00001). In the sensitivity analysis, the fixed-effect odds ratios (95% CI) of allelic and dominant models were theRNF213 rs148731719 variant, 2.17 (1.36–3.48;P =0.001), 2.20 (1.35–3.61;P =0.002), theTIMP-2 rs8179090 variant, 0.33 (0.25–0.43;P <0.00001), 0.88 (0.65–1.21;P =0.440) and theMMP-3 rs3025058 variant, 0.61 (0.47–0.79;P =0.0002), 0.55 (0.41–0.75;P =0.0001), respectively.Conclusions— RNF213 rs112735431 and rs148731719 were positively, andTIMP-2 rs8179090,MMP-2 rs243865, andMMP-3 rs3025058 were inversely associated with MMD using multiple pathophysiologic pathways. Studies in larger population should be conducted to clarify whether and how these variants are associated with MMD.

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