Ancestry gaps in cardiovascular GWAS: a multi-database review of African representation in genomic studies

Diego A Pomales-Matos1,2, Mac Lyerly3, Alejandro Rivera-Madera4

  • 1Department of Biology, University of Puerto Rico - Rio Piedras Campus, San Juan, PR, United States.

Frontiers in Genetics
|January 29, 2026
PubMed

Insights

Genetic studies for cardiovascular diseases (CVDs) are biased towards European ancestry, limiting diagnosis and treatment for diverse populations. Addressing this ancestry gap is crucial for equitable healthcare and understanding global genetic diversity in CVDs.

Area of Science:

  • Genomics
  • Cardiovascular Medicine
  • Population Genetics

Background:

  • Cardiovascular diseases (CVDs) are a leading global cause of death.
  • Genome-wide association studies (GWASs) have identified numerous CVD-associated genetic variants.
  • Current genetic research is heavily skewed towards individuals of European ancestry.

Purpose of the Study:

  • To review the effectiveness of current diagnostic and treatment tools for CVDs in African ancestry populations.
  • To analyze the persistent diversity gap in cardiovascular genetics across multiple databases.
  • To raise awareness about ancestry-related disparities in genomic research.

Main Methods:

  • Literature review of recent research on CVD genomics in diverse populations.
  • Multi-database analysis to assess genetic diversity in cardiovascular research.
  • Comparison of diagnostic and treatment tool effectiveness across different ancestries.

Main Results:

  • Genetic research for CVDs disproportionately represents European ancestry.
  • Underrepresentation limits understanding and effective management of CVDs in African ancestry populations.
  • Existing reference datasets poorly capture the genetic diversity of African ancestry populations.

Conclusions:

  • The ancestry gap in cardiovascular genomics hinders equitable healthcare.
  • Further research is needed to address genetic disparities in CVD diagnosis and treatment.
  • Improving genetic databases is essential for inclusive cardiovascular medicine.

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