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Association of the CYP4V2 Polymorphism Rs13146272 with Venous Thromboembolism in a Chinese Population

Overview
Journal Clin Exp Med
Specialty General Medicine
Date 2018 Oct 3
PMID 30276487
Citations 8
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Abstract

Genome-wide association studies have identified the CYP4V2 polymorphism (rs13146272) as a risk factor associated with venous thromboembolism (VTE). However, due to the small sample size and variance in genetic analysis models, the relationship between VTE and rs13146272 remains unclear. Here, we performed a case-control study to analyse the associations between rs13146272 and VTE in a Chinese population and to compare the differences among various ethnicities. In this study, 226 VTE patients and 205 healthy controls were recruited, and the allele frequency of variant rs13146272 was analysed by a MassARRAY SNP genotyping assay. In addition, 9 case-control cohorts from 5 studies involving 6667 VTE-affected individuals and 8716 control subjects were included in this meta-analysis. Pooled ORs and 95% CIs were calculated to assess the association between rs13146272 and VTE by using different genetic models. Our case-control study results showed that there was no significant association between VTE and rs13146272 under the additive model (OR = 0.92, 95% CIs: 0.70-1.21, p = 0.55) in this Chinese population. However, the results of the meta-analysis performed by merging all cohorts showed that rs13146272 was significantly associated with VTE under the additive model, recessive model and dominant model. In the additive and recessive models, the association reached the threshold for genome-wide significance (p < 5.0e). In conclusion, our pooled systematic study results indicated that individuals with the A allele had a higher risk of developing VTE than those with the C allele of the rs13146272 variant, but the risk was inconsistent among different ethnicities. Further validation of this association with larger sample sizes and multiple ethnicities is warranted.

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References
1.
McColl M, Ellison J, Reid F, Tait R, Walker I, Greer I . Prothrombin 20210 G-->A, MTHFR C677T mutations in women with venous thromboembolism associated with pregnancy. BJOG. 2000; 107(4):565-9. DOI: 10.1111/j.1471-0528.2000.tb13281.x. View

2.
Sterne J, Egger M, Smith G . Systematic reviews in health care: Investigating and dealing with publication and other biases in meta-analysis. BMJ. 2001; 323(7304):101-5. PMC: 1120714. DOI: 10.1136/bmj.323.7304.101. View

3.
Heit J . Venous thromboembolism epidemiology: implications for prevention and management. Semin Thromb Hemost. 2002; 28 Suppl 2:3-13. DOI: 10.1055/s-2002-32312. View

4.
Lewis C . Genetic association studies: design, analysis and interpretation. Brief Bioinform. 2002; 3(2):146-53. DOI: 10.1093/bib/3.2.146. View

5.
Higgins J, Thompson S, Deeks J, Altman D . Measuring inconsistency in meta-analyses. BMJ. 2003; 327(7414):557-60. PMC: 192859. DOI: 10.1136/bmj.327.7414.557. View