Large-scale rare variant burden testing in Parkinson's disease.
СтатьяResearch Support, N.I.H., IntramuralПоддержка правительства СШАПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Makarious Mary B, Lake Julie, Pitz Vanessa, Ye Fu Allen, Guidubaldi Joseph L, Solsberg Caroline Warly, Bandres-Ciga Sara, Leonard Hampton L, Kim Jonggeol Jeffrey, Billingsley Kimberley J, Grenn Francis P, Jerez Pilar Alvarez, Alvarado Chelsea X, Iwaki Hirotaka, Ta Michael, Vitale Dan, Hernandez Dena, Torkamani Ali, Ryten Mina, Hardy John, UK Brain Expression Consortium (UKBEC),, Scholz Sonja W, Traynor Bryan J, Dalgard Clifton L, Ehrlich Debra J, Tanaka Toshiko, Ferrucci Luigi, Beach Thomas G, Serrano Geidy E, Real Raquel, Morris Huw R, Ding Jinhui, Gibbs J Raphael, Singleton Andrew B, Nalls Mike A, Bhangale Tushar, Blauwendraat Cornelis
Аннотация
Parkinson's disease has a large heritable component and genome-wide association studies have identified over 90 variants with disease-associated common variants, providing deeper insights into the disease biology. However, there have not been large-scale rare variant analyses for Parkinson's disease. To address this gap, we investigated the rare genetic component of Parkinson's disease at minor allele frequencies <1%, using whole genome and whole exome sequencing data from 7184 Parkinson's disease cases, 6701 proxy cases and 51 650 healthy controls from the Accelerating Medicines Partnership Parkinson's disease (AMP-PD) initiative, the National Institutes of Health, the UK Biobank and Genentech. We performed burden tests meta-analyses on small indels and single nucleotide protein-altering variants, prioritized based on their predicted functional impact. Our work identified several genes reaching exome-wide significance. Two of these genes, GBA1 and LRRK2, have variants that have been previously implicated as risk factors for Parkinson's disease, with some variants in LRRK2 resulting in monogenic forms of the disease. We identify potential novel risk associations for variants in B3GNT3, AUNIP, ADH5, TUBA1B, OR1G1, CAPN10 and TREML1 but were unable to replicate the observed associations across independent datasets. Of these, B3GNT3 and TREML1 could provide new evidence for the role of neuroinflammation in Parkinson's disease. To date, this is the largest analysis of rare genetic variants in Parkinson's disease.