TY - JOUR
T1 - The frequency of pathogenic variation in the All of Us cohort reveals ancestry-driven disparities
AU - on behalf of the All of Us Research Program Investigators
AU - Venner, Eric
AU - Patterson, Karynne
AU - Kalra, Divya
AU - Wheeler, Marsha M.
AU - Chen, Yi Ju
AU - Kalla, Sara E.
AU - Yuan, Bo
AU - Karnes, Jason H.
AU - Walker, Kimberly
AU - Smith, Joshua D.
AU - McGee, Sean
AU - Radhakrishnan, Aparna
AU - Haddad, Andrew
AU - Empey, Philip E.
AU - Wang, Qiaoyan
AU - Lichtenstein, Lee
AU - Toledo, Diana
AU - Jarvik, Gail
AU - Musick, Anjene
AU - Gibbs, Richard A.
AU - Ahmedani, Brian
AU - Johnson, Christine D.Cole
AU - Ahsan, Habib
AU - Anton-Culver, Hoda
AU - Topol, Eric
AU - Baca-Motes, Katie
AU - Moore-Vogel, Julia
AU - Jain, Praduman
AU - Begale, Mark
AU - Jain, Neeta
AU - Klein, David
AU - Sutherland, Scott
AU - Korf, Bruce
AU - Lewis, Beth
AU - Gharavi, Ali G.
AU - Hripcsak, George
AU - Boerwinkle, Eric
AU - Hebbring, Scott Joseph
AU - Burnside, Elizabeth
AU - Farrar-Edwards, Dorothy
AU - Taylor, Amy
AU - Desa, Liliana Lombardi
AU - Thibodeau, Steve
AU - Cicek, Mine
AU - Schlueter, Eric
AU - Holmes, Beverly Wilson
AU - Daviglus, Martha
AU - Harris, Paul
AU - Wilkins, Consuelo
AU - Randal, Fornessa
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024/12
Y1 - 2024/12
N2 - 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.
AB - 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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U2 - 10.1038/s42003-023-05708-y
DO - 10.1038/s42003-023-05708-y
M3 - Article
C2 - 38374434
AN - SCOPUS:85185702226
SN - 2399-3642
VL - 7
JO - Communications Biology
JF - Communications Biology
IS - 1
M1 - 174
ER -