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Updated: May 17, 2025

Measurement of Factor V Activity in Human Plasma Using a Microplate Coagulation Assay
Published on: September 9, 2012
Genome-wide association study-driven identification of thrombomodulin and factor V as the best biomarker combination
Usi Sukorini1,2, Gisca Ajeng Widya Ninggar1,2, Mohammad Hendra Setia Lesmana3
1Department of Clinical Pathology and Laboratory Medicine, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia.
Insights
Identifying the best biomarkers for deep vein thrombosis (DVT) risk is crucial. This study highlights thrombomodulin (THBD) and Factor V (F5) as promising blood-based genetic markers for DVT prediction.
Area of Science:
- Genetics and Molecular Biology
- Vascular Medicine
- Biomarker Discovery
Background:
- Deep vein thrombosis (DVT) poses significant health risks due to thrombus formation in deep veins.
- Predicting DVT risk is challenging due to complex genetic and molecular factors.
- Reliable biomarkers are needed for early DVT risk assessment.
Purpose of the Study:
- To identify and prioritize genetic markers for DVT risk prediction.
- To determine the most promising genetic biomarkers for DVT.
- To investigate the potential of genetic biomarkers in precision medicine for thrombotic disorders.
Main Methods:
- Utilized genome-wide association studies (GWAS) findings.
- Applied a functional annotation scoring system to prioritize genetic markers.
- Analyzed gene expression levels and utilized databases like GWAS Catalog, HaploReg, WebGestalt, Enrichr, and GTEx Portal.
Main Results:
- Identified 5 potential biomarkers for DVT.
- Highlighted thrombomodulin (THBD) and Factor V (F5) as the best blood-based biomarkers.
- THBD and F5 showed elevated blood expression and relevant eQTLs, with clear roles in coagulation pathways.
Conclusions:
- THBD and F5 are mechanistically relevant to DVT pathogenesis.
- These genetic markers are suitable for non-invasive clinical assessment.
- Genetic biomarkers can significantly improve DVT risk assessment and advance precision medicine.
Abstract:
Deep vein thrombosis (DVT) is a clinically significant condition characterized by the formation of thrombi in deep venous structures, leading to high morbidity and potential mortality. Identifying reliable biomarkers for DVT risk prediction remains challenging due to the intricate genetic and molecular mechanisms underlying the disease. This study aims to investigate the best biomarker for DVT. Our study utilized genome-wide association studies (GWAS) findings coupled with a functional annotation scoring system to identify and prioritize genetic markers with strong associations to DVT. Furthermore, gene expression levels were analyzed to determine the most promising genetic markers. Several databases were utilized, including the GWAS Catalog, HaploReg 4.2, WebGestalt, Enrichr, and the GTEx Portal. Through the comprehensive analysis, we found 5 potential biomarkers and highlighted thrombomodulin (THBD) and Factor V (F5) as the best blood-based biomarkers. THBD and F5 genes were selected based on their elevated expression levels in blood and the presence of eQTLs. Functionally, THBD modulates coagulation via protein C activation, while F5 is pivotal in thrombin formation and clot stabilization, underscoring their mechanistic relevance to DVT pathogenesis, and rendering them suitable for non-invasive clinical assessment. Our findings emphasize the potential of genetic biomarkers to transform DVT risk assessment and support advancements in precision medicine for thrombotic disorders.
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