Bayesian Network Analysis of plasma microRNA sequencing data in patients with venous thrombosis

Abstract : MicroRNAs (miRNAs) are small regulatory RNAs participating to several biological processes and known to be involved in various pathologies. Measurable in body fluids, miRNAs have been proposed to serve as efficient biomarkers for diseases and/or associated traits. We here performed a next-generation-sequencing based profiling of plasma miRNAs in 344 patients with venous thrombosis (VT) and assessed the association of plasma miRNA levels with several haemostatic traits and the risk of VT recurrence. Among the most significant findings, we detected an association between hsa-miR-199b-3p and hematocrit 2 levels (p = 0.0016), these two markers having both been independently reported to associate with VT risk. We also observed suggestive evidence for association of hsa-miR-370-3p (p = 0.019), hsa-miR-27b-3p (p = 0.016) and hsa-miR-222-3p (p = 0.049) with VT recurrence, the observations at the latter two miRNAs confirming the recent findings of Wang et al. (Clin Epigenetics 2019). Besides, by conducting Genome Wide Association Studies on miRNA levels and meta-analyzing our results with some publicly available, we identified 21 new associations of SNP with plasma miRNA levels at the statistical significance threshold of p < 5 × 10-8 , some of these associations pertaining to thrombosis associated mechanisms. In conclusion, this study provides novel data about the impact of miRNAs' variability in haemostasis and new arguments supporting the association of few miRNAs with the risk of recurrence in patients with venous thrombosis.
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Submitted on : Thursday, October 10, 2019 - 8:48:21 AM
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  • HAL Id : inserm-02310241, version 1

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Florian Thibord, Gaëlle Munsch, Claire Perret, Pierre Suchon, Maguelonne Roux, et al.. Bayesian Network Analysis of plasma microRNA sequencing data in patients with venous thrombosis. European Heart Journal Supplements, Oxford University Press (OUP), In press, Epub Ahead of print. ⟨inserm-02310241⟩

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