Characterization of prevalence and health consequences of uniparental disomy in four million individuals from the general population
Priyanka NakkaiD, Samuel Pattillo SmithiD, Anne O’Donnell‐LuriaiD, Kimberly F. McManusiD, Michelle Agee, Adam AutoniD, Robert K. Bell, Katarzyna BryciD, Sarah L. ElsoniD, Pierre FontanillasiD, Nicholas A. FurlotteiD, Barry Hicks, David A. HindsiD, Ethan M. JewettiD, Yunxuan JiangiD, Keng‐Han Lin, Jennifer C. McCreight, Karen E. Huber, Aaron Kleinman, Nadia K. LittermaniD, Matthew H. McIntyreiD, Elizabeth S. Noblin, Carrie A. M. Northover, Steven J. PittsiD, G. David PoznikiD, , J. Fah SathirapongsasutiiD
Abstract
Meiotic nondisjunction and resulting aneuploidy can lead to severe health consequences in humans. Aneuploidy rescue can restore euploidy but may result in uniparental disomy (UPD), the inheritance of both homologs of a chromosome from one parent with no representative copy from the other. Current understanding of UPD is limited to ~3,300 cases for which UPD was associated with clinical presentation due to imprinting disorders or recessive diseases. Thus, the prevalence of UPD and its phenotypic consequences in the general population are unknown. We searched for instances of UPD in over four million consented research participants from the personal genetics company 23andMe, Inc., and 431,094 UK Biobank participants. Using computationally detected DNA segments identical-by-descent (IBD) and runs of homozygosity (ROH), we identified 675 instances of UPD across both databases. Here we present the first characterization of UPD prevalence in the general population, a machine-learning framework to detect UPD using ROH, and a novel association between autism and UPD of chromosome 22.
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