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The frequency of pathogenic variation in the All of Us cohort reveals ancestry-driven disparities

58Citations signalées, ce qui n’est pas une note de qualité
82Institutions déclarées
2Pays d’affiliation déclarés

Rattachement africain : us, pr. Niveau de preuve : code pays fourni par la source.

Le résumé fourni par la source

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.

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Le contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
The frequency of pathogenic variation in the All of Us cohort reveals ancestry-driven disparities
Date Crossref
19/02/2024
Éditeur
Springer Science and Business Media LLC
Type
journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.

Les institutions déclarées

Baylor College of MedicineUniversity of WashingtonUniversity of ArizonaVanderbilt University Medical CenterUniversity of PittsburghBroad InstituteUniversity of Washington Medical CenterNational Institutes of HealthOffice of the DirectorHenry Ford HealthUniversity of Chicago Medical CenterUniversity of California, IrvineScripps Research InstituteUniversity of Alabama at BirminghamColumbia UniversityThe University of Texas Health Science Center at HoustonMarshfield ClinicUniversity of Wisconsin–MadisonCommunity Health CenterMayo ClinicPrisma HealthUniversity of Illinois ChicagoJohns Hopkins UniversityJohns Hopkins MedicineBoston UniversityNational Alliance for Hispanic HealthMitre (United States)Northwestern UniversityUniversity of FloridaMorehouse School of MedicineMass General BrighamCornell UniversityCherokee NationCareEvolution (United States)Delta Air Lines (United States)Stanford UniversitySan Ysidro HealthBoston Medical CenterUniversity of California San DiegoAsian Health CoalitionBanner HealthUniversity of UtahHCM Strategists (United States)Color (United States)New York City Health and Hospitals CorporationThe Coordinating CenterBrigham and Women's HospitalMedical College of WisconsinUniversity of MiamiRTI InternationalWaianae Coast Comprehensive Health CenterUnited States National Library of MedicineHunter CollegeUniversity of Puerto Rico SystemUniversity of South AlabamaDenver Health Medical CenterUniversity of Colorado DenverApplied Minds (United States)Jackson Memorial HospitalUniversity of Mississippi Medical CenterMassachusetts General HospitalCACI International (United States)University of Mary WashingtonHarvard UniversityNational Capital Baptist ConventionGundersen Health SystemSouth Texas Blood and Tissue CenterUniversity of North Carolina at Chapel HillBloodworks NorthwestFitbit (United States)Puerto Rico Department of HealthPatients FirstPatientsLikeMe (United States)Quest Diagnostics (United States)Emory UniversitySage BionetworksWalgreens (United States)Deerfield (United States)Blue Cross Blue Shield AssociationSaint Louis UniversityMount Sinai Health SystemUniversity of Southern California

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Les sujets associés

Genomics and Rare DiseasesGenetic Associations and EpidemiologyCancer Genomics and Diagnostics

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