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March 29, 2026CellOpen Access

Advancing precision health discovery in a genetically diverse health system

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Authors

RHRoni HaasMMMichael MargolisUniversity of California, Los AngelesAWAngela WeiUniversity of California, Los Angeles

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Implication

Analysis reveals gene-disease links in genetically diverse groups, suggesting enhanced precision health.

Key Points

  • The study aims to link genetic data from diverse populations with health outcomes to improve precision medicine.
  • Analyzed data from 93,936 participants in the UCLA ATLAS Community Health Initiative.
  • Categorized participants into five continental and 36 fine-scale ancestry groups.
  • Utilized polygenic scores to predict disease risks and assessed gene-phenotype associations.
  • Employed computational predictors to reduce European bias in clinical variants.
  • Identified novel gene-phenotype associations, including FN3K with intestinal disaccharidase deficiency.
  • Polygenic scores effectively predicted common diseases, particularly in different ancestry groups.
  • Discovered unreported disease-gene associations, like ANKZF1 with peripheral vascular disease in African Americans.
  • Efficacy of semaglutide treatment varied across different ancestries, influenced by genetic factors.

Cite This Study

Haas et al. (2026) studied this question.

synapsesocial.com/papers/69c8c2a4de0f0f753b39cfd7https://doi.org/10.1016/j.cell.2026.03.007
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