UCLA ATLAS biobank study of 93,936 diverse participants uncovers ancestry-specific genetic disease links to advance precision medicine
By
Roni Haas1,2,3,4,20 Send email to [email protected]
Summary
This study from the UCLA ATLAS Community Health Initiative analyzed genetic and electronic health record data from 93,936 participants across five continental and 36 fine-scale ancestry groups. The research uncovered numerous previously unreported gene-phenotype associations (including FN3K with intestinal disaccharidase deficiency), demonstrated that polygenic scores robustly predict common disease across diverse populations, and identified ancestry-specific disease-gene links. Computational predictors were used to mitigate European bias in clinical variant curation, and genetic factors influencing semaglutide-induced weight loss were identified. The findings underscore the value of ancestrally diverse biobanks for advancing precision medicine.
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bskyUCLA ATLAS biobank study of 93,936 diverse participants uncovers ancestry-specific genetic disease links to advance precision medicinecell.comKey quotes
· 3 pulledLinking genetic data with electronic health records in hospital biobanks promises to advance precision medicine, but limited ancestral diversity constrains discovery and generalizability.
We discovered numerous unreported gene-phenotype associations, including FN3K with intestinal disaccharidase deficiency in Europeans and admixed Americans.
These findings demonstrate the value of well-curated, ancestrally diverse biobanks in advancing precision medicine.
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