Genome-wide association study-driven identification of thrombomodulin and factor V as the best biomarker combination for deep vein thrombosis

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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Publication Details

Journal
Genomics & Informatics
Published
2025-05-15
DOI
https://doi.org/10.1186/s44342-025-00047-2
Citations
1
Primary Topic
Venous Thromboembolism Diagnosis and Management
Type
article
Field-Weighted Citation Impact
1.87
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article

Genome-wide association study-driven identification of thrombomodulin and factor V as the best biomarker combination for deep vein thrombosis

Mohammad Hendra Setia Lesmana, Lalu Muhammad Irham, Wirawan Adikusuma, Usi Sukorini et al.
1 citations
Genomics & Informatics
Venous Thromboembolism Diagnosis and Management
1.87
article

Genome-wide association study-driven identification of thrombomodulin and factor V as the best biomarker combination for deep vein thrombosis

Mohammad Hendra Setia Lesmana, Lalu Muhammad Irham, Wirawan Adikusuma, Usi Sukorini, Rahmat Dani Satria, Nur Imma Fatimah Harahap, Chiou‐Feng Lin, Hegaria Rahmawati, Gisca Ajeng Widya Ninggar
article en
1 citations

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.

Genomics & InformaticsVol. 23(1)
Universitas Gadjah Mada (ID), National Institute of Informatics (JP), Universitas Ahmad Dahlan (ID), University of Muhammadiyah Mataram (ID), Rumah Sakit Umum Pusat Dr. Sardjito (ID), Universitas Muhammadiyah Semarang (ID), Taipei Medical University (TW)
Good health and well-being
Openalex Percentile: Top 17%
Venous Thromboembolism Diagnosis and Management
1.87
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