Disease risk and healthcare utilization among ancestrally diverse groups in the Los Angeles region.

ABSTRACT: An individual's disease risk is affected by the populations that they belong to, due to shared genetics and environmental factors. The study of fine-scale populations in clinical care is important for identifying and reducing health disparities and for developing personalized interventions. To assess patterns of clinical diagnoses and healthcare utilization by fine-scale populations, we leveraged genetic data and electronic medical records from 35,968 patients as part of the UCLA ATLAS Community Health Initiative. We defined clusters of individuals using identity by descent, a form of genetic relatedness that utilizes shared genomic segments arising due to a common ancestor. In total, we identified 376 clusters, including clusters with patients of Afro-Caribbean, Puerto Rican, Lebanese Chr

SUBMITTER: Caggiano C 

PROVIDER: S-EPMC11121511 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature