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The frequency of pathogenic variation in the All of Us cohort reveals ancestry-driven disparities.
Venner, Eric; Patterson, Karynne; Kalra, Divya; Wheeler, Marsha M; Chen, Yi-Ju; Kalla, Sara E; Yuan, Bo; Karnes, Jason H; Walker, Kimberly; Smith, Joshua D; McGee, Sean; Radhakrishnan, Aparna; Haddad, Andrew; Empey, Philip E; Wang, Qiaoyan; Lichtenstein, Lee; Toledo, Diana; Jarvik, Gail; Musick, Anjene; Gibbs, Richard A.
Afiliação
  • Venner E; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA. venner@bcm.edu.
  • Patterson K; Department of Genome Sciences, University of Washington, Seattle, WA, USA.
  • Kalra D; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
  • Wheeler MM; Department of Genome Sciences, University of Washington, Seattle, WA, USA.
  • Chen YJ; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
  • Kalla SE; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
  • Yuan B; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
  • Karnes JH; University of Arizona, R Ken Coit College of Pharmacy, Department of Pharmacy Practice and Science, Tucson, AZ, USA.
  • Walker K; Vanderbilt University Medical Center, Department of Biomedical Informatics, Boston, MA, USA.
  • Smith JD; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
  • McGee S; Department of Genome Sciences, University of Washington, Seattle, WA, USA.
  • Radhakrishnan A; Department of Genome Sciences, University of Washington, Seattle, WA, USA.
  • Haddad A; Department of Genome Sciences, University of Washington, Seattle, WA, USA.
  • Empey PE; Department of Pharmaceutical Sciences, University of Pittsburgh School of Pharmacy, Pittsburgh, PA, USA.
  • Wang Q; Department of Pharmacy and Therapeutics, University of Pittsburgh School of Pharmacy, Pittsburgh, PA, USA.
  • Lichtenstein L; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
  • Toledo D; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Jarvik G; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Musick A; Department of Medicine (Medical Genetics), University of Washington School of Medicine, Seattle, WA, USA.
  • Gibbs RA; Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.
Commun Biol ; 7(1): 174, 2024 Feb 19.
Article em En | MEDLINE | ID: mdl-38374434
ABSTRACT
Disparities in data underlying clinical genomic interpretation is an acknowledged problem, but there is a paucity of data demonstrating it. The All of Us Research Program is collecting data including whole-genome sequences, health records, and surveys for at least a million participants with diverse ancestry and access to healthcare, representing one of the largest biomedical research repositories of its kind. Here, we examine pathogenic and likely pathogenic variants that were identified in the All of Us cohort. The European ancestry subgroup showed the highest overall rate of pathogenic variation, with 2.26% of participants having a pathogenic variant. Other ancestry groups had lower rates of pathogenic variation, including 1.62% for the African ancestry group and 1.32% in the Latino/Admixed American ancestry group. Pathogenic variants were most frequently observed in genes related to Breast/Ovarian Cancer or Hypercholesterolemia. Variant frequencies in many genes were consistent with the data from the public gnomAD database, with some notable exceptions resolved using gnomAD subsets. Differences in pathogenic variant frequency observed between ancestral groups generally indicate biases of ascertainment of knowledge about those variants, but some deviations may be indicative of differences in disease prevalence. This work will allow targeted precision medicine efforts at revealed disparities.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Predisposição Genética para Doença / Saúde da População Limite: Humans País como assunto: America do norte Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Predisposição Genética para Doença / Saúde da População Limite: Humans País como assunto: America do norte Idioma: En Ano de publicação: 2024 Tipo de documento: Article