Population-scale repeat expansions elucidate disease risk and brain atrophy.
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Pounraja Vijay Kumar, Sul Jae Hoon, Herman Joseph, O'Keeffe Sean, Rajagopal Veera, Bai Xiaodong, Kessler Michael D, Parikshak Neelroop, Landheer Karl, Zhang Xingmin, Yu Sean, Zhang Lance, LeBlanc Michelle G, Rico-Varela Jennifer, Grau Frederic, Wolf Sarah, Sundaramoorthy Sriramkumar, Sepehrband Farshid, Stahl Eli A, Huo Yuda, Ahmed Mohsin, Croll Susan, GHS-RGC DiscovEHR Collaboration, Mayo-RGC Project Generation, Penn Medicine BioBank, Salerno William, Overton John D, Marchini Jonathan, Reid Jeffrey, Lotta Luca A, Baras Aris, Regeneron Genetics Center, Abecasis Goncalo R, Coppola Giovanni, Gelfman Sahar
Аннотация
Pathogenic expansions of short tandem repeats (STRs) cause over 70 neurological diseases1-3. Here we performed a population-scale survey of pathogenic repeat expansions by analysing repeat length in 37 disease-associated STR loci in a diverse set of 1,020,833 samples using short-read sequencing whole-exome and whole-genome data. Consistent with previous findings, we found that the frequency of pathogenic repeats is higher than the prevalence of corresponding diseases for most loci4,5. Associations of repeat length with 7,671 binary traits captured known locus-trait associations, including HTT and Huntington's disease, DMPK and myotonic disorders and C9orf72 and motor neuron disease, among others. Finally, we found that, even before disease diagnosis, repeat expansions in several loci strongly associate with increased levels of neurofilament light chain (NfL) and a loss of brain volume in specific disease-associated regions. For example, carriers of HTT expansions exhibited a 22.1% loss of putamen volume, and carriers of CACNA1A expansions showed a 24.6% loss of cerebellar volume. These observations suggest that both decreased brain volumes and increased NfL levels occur earlier than disease diagnosis. This study demonstrates the use of characterizing repeat expansions from short-read sequencing data in diverse population-scale cohorts and its application to epidemiology and clinical biomarker development.