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Updated: Jul 15, 2026

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay (EMSA) and DNA-affinity Precipitation Assay (DAPA)
Published on: August 21, 2016
Predictive genetic variants for venous thrombosis: what's new?
Irene D Bezemer1, Frits R Rosendaal
1Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
Genetic and acquired risk factors contribute to venous thrombosis. This review examines newly identified genetic variants and their unclear associations with thrombosis, providing perspective on candidate predictors.
Area of Science:
- Medical Science
- Genetics
- Epidemiology
Background:
- Venous thrombosis arises from various pathways, influenced by genetic and acquired risk factors.
- Genetic discoveries like factor V Leiden and prothrombin 20210 G-->A have spurred rapid advancements in genetic epidemiology.
- Numerous genetic variants linked to venous thrombosis have emerged, but their associations remain debated.
Purpose of the Study:
- To review candidate genetic predictors of venous thrombosis.
- To critically evaluate the association between newly identified genetic variants and venous thrombosis.
- To provide a balanced perspective on the current evidence for genetic risk factors in venous thrombosis.
Main Methods:
- Literature review of genetic epidemiology studies.
- Analysis of reported associations between genetic variants and venous thrombosis.
- Synthesis of evidence to assess the clinical relevance of candidate predictors.
Main Results:
- Several genetic variants have been investigated as potential risk factors for venous thrombosis.
- Conflicting results and unclear associations have been reported for many newly identified genetic variants.
- The predictive value of many candidate genetic predictors remains uncertain.
Conclusions:
- The identification of genetic risk factors for venous thrombosis is an evolving field.
- Further research is needed to clarify the role of various genetic variants in thrombosis development.
- Distinguishing true predictors from incidental findings is crucial for clinical application.
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