4.7 Article

Large-scale rare variant burden testing in Parkinson & apos;s disease

Journal

BRAIN
Volume -, Issue -, Pages -

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/brain/awad214

Keywords

Parkinson's disease; burden; GBA1; LRRK2; genetics; rare variant

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Parkinson's disease has a strong hereditary component, with over 90 disease-associated common variants identified through genome-wide association studies. However, there is a lack of large-scale rare variant analyses for this disease. To address this, a study investigated the rare genetic component of Parkinson's disease using whole genome and whole exome sequencing data. Several genes were identified, including previously implicated risk factors GBA1 and LRRK2, as well as potential novel risk associations. This is the largest analysis of rare genetic variants in Parkinson's disease to date.
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.

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