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Why is factor V Leiden so rare in the Basques?

F Bauduer1

  • 1Laboratoire MRGM, EA 4576, Université de Bordeaux, Bordeaux, France; Service d'Hématologie, Centre Hospitalier de la Côte Basque, Bayonne, France.

Journal of Thrombosis and Haemostasis : JTH
|February 4, 2015
PubMed
Summary

Factor V Leiden, a common inherited thrombophilia in Caucasians, is notably rare in the Basque population. Evolutionary factors likely shaped the Basque genome, explaining this genetic difference in thrombosis risk.

Keywords:
epidemiologyfactor V Leidenpopulation geneticsrisk factorsvenous thrombosis

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Area of Science:

  • Genetics
  • Evolutionary Biology
  • Medical Science

Background:

  • Factor V Leiden is the most prevalent inherited thrombophilia among Caucasian populations.
  • This genetic trait significantly increases the risk of venous thromboembolism.
  • A striking absence of Factor V Leiden has been observed in the Basque people of Southwestern Europe.

Discussion:

  • Investigating the evolutionary forces that have shaped the Basque genome is crucial to understanding the low prevalence of Factor V Leiden.
  • Potential factors include genetic drift, natural selection, and population bottlenecks specific to the Basque region.
  • Comparative genomic analysis may reveal protective alleles or distinct evolutionary pressures in the Basque population.

Key Insights:

  • The near-complete absence of Factor V Leiden in Basques presents a unique case study in human population genetics.
  • Understanding the genetic underpinnings of this absence can provide insights into thrombosis risk and prevention.
  • This finding highlights the importance of considering population-specific genetic variations in disease predisposition.

Outlook:

  • Further research into the Basque genome could identify novel genetic factors influencing thrombosis.
  • This could lead to more personalized risk assessments for venous thromboembolism.
  • Comparative studies with other isolated populations may further elucidate the role of evolutionary history in disease prevalence.