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Updated: Jun 13, 2025

In Vitro Thrombosis Test for Ventricular Assist Devices
Published on: March 21, 2025
Development and validation of a genetic probability for venous thromboembolism
Zhuqing Shi1, Ashley J Mulford2, Huy Tran1
1Program for Genomic Translational Research, NorthShore University HealthSystem (Endeavor Health), Evanston, Illinois, USA.
Background:
Factor V Leiden (FVL) and prothrombin gene mutations (PGMs), as well as recently developed polygenic scores (PGSs), have been consistently associated with venous thromboembolism (VTE) risk in European ancestry populations.
Objectives:
This study aimed to develop an optimized risk-assessment tool combining mutations and PGS for diverse ancestry populations.
Methods:
The association of VTE risk with FVL/PGM and PGS was tested using multivariable analyses in the UK Biobank. A genetic probability for VTE (GenProb-VTE) combining PGS and FVL/PGM was developed. Its discriminative and reclassification performances over FVL/PGM alone were assessed using observed VTE rate and the continuous net reclassification index, respectively. Results were validated in the Genomic Health Initiative of Endeavor Health, an ancestry-diverse health care system-based biobank.
Results:
Among 432,831 participants in the UK Biobank, FVL, PGM, and PGS were significantly and independently associated with VTE risk (P < .001). Compared with FVL/PGM alone, GenProb-VTE identified 1.5 times more high-risk subjects whose observed VTE rates exceeded those of FVL/PGM carriers. GenProb-VTE also significantly reclassified VTE risk from the model with FVL/PGM alone, with continuous net reclassification index of 0.10 (P < .001). VTE risk was reclassified in FVL/PGM heterozygous carriers (51%) and homozygous/compound heterozygous carriers (46%) as well as noncarriers (14%). These results were validated among 16,341 participants in the Genomic Health Initiative, in participants of both European and non-European ancestry.
Conclusion:
GenProb-VTE, an optimized tool combining PGS with FVL/PGM, significantly improves VTE risk assessment compared with FVL/PGM alone in diverse ancestry populations. It provides a novel tool for genetic risk assessment of VTE.
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