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Published on: April 13, 2018
GP6 polymorphisms and venous thromboembolism: a Chinese case-control study with cross-population assessment
Yingyun Fu1, Zixuan Hu1, Shengguo Liu1
1Department of Pulmonary and Critical Care Medicine, Shenzhen Institute of Respiratory Disease, Shenzhen People's Hospital (The First Affliated Hospital, Southern University of Science and Technology, The Second Clinical Medical College, Jinan University), No. 1017 Dongmen North Road, Luohu District, Shenzhen, 518020, China.
Background:
While genome-wide association studies having implicated the GP6 rs1613662 polymorphism as a risk factor for venous thrombosis, subsequent studies have reported inconsistent findings regarding this association.
Objectives:
Here, we performed a case-control study in a Chinese cohort to evaluate the association between rs1613662 and venous thromboembolism (VTE) risk. We further conducted a comprehensive cross-population assessment by integrating multi-ethnic data to assess this association.
Methods:
We recruited 225 patients with VTE and 203 healthy controls for the Chinese case-control study, with rs1613662 genotyped using the Sequenom assay. Additionally, we systematically integrated genotyping data from nine cohorts (with a total of 5,669 VTE cases and 8,976 controls) for the cross-population analysis.
Results:
Analysis of the Chinese cohort revealed no statistically significant association between rs1613662 and VTE susceptibility. However, the multi-ethnic meta-analysis revealed significant VTE risk associations for rs1613662 in both the additive (odds ratio [OR] = 1.14, 95% confidence interval [CI]:1.07-1.22, P = 0.00014) and dominant models (OR = 1.16, 95% CI:1.07-1.25, P = 0.00019), but not in the recessive model (OR = 1.22, 95% CI:0.96-1.52, P = 0.082). Sensitivity analysis via the sequential exclusion of individual studies demonstrated remarkable stability.
Conclusions:
Our findings demonstrate that rs1613662 is associated with a modest but statistically significant increase in VTE susceptibility on average, with heterogeneous effect sizes across different populations. The observed ethnic heterogeneity suggests the necessity of additional investigation into population-specific genetic architectures. Integrated polygenic risk scores could be used to optimize risk stratification and develop preventive strategies against VTE.
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