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Rare-Variant Burden Analysis of Dystonia Genes in Parkinson's Disease
Sajanth Kanagasingam1,2, Sitki Cem Parlar1,2,3, Lang Liu1,2
1Department of Human Genetics, McGill University, Montréal, Quebec, Canada.
Background:
Dystonia frequently coexists with Parkinson's disease (PD), yet the extent of genetic overlap remains insufficiently explored.
Objective:
The aim was to examine whether rare variants in dystonia-related genes are associated with PD or early-onset PD (EOPD).
Methods:
We curated 44 dystonia-related genes using the Online Mendelian Inheritance in Man (OMIM) and the Movement Disorder Society report on hereditary dystonia. Whole-genome sequencing data from 5315 PD patients, including 300 EOPD patients, and 36,902 controls across the Accelerating Medicines Partnership-Parkinson's Disease (AMP-PD) and UK Biobank European cohorts were analyzed. Rare-variant burden analysis was performed using the optimized sequence kernel association test (SKAT-O) and MetaSKAT.
Results:
In the analyses of all PD patients, no association survived multiple-testing correction. Conversely, exploratory EOPD analyses identified five significant genes (ATP5MC3, DNAJC12, KMT2B, TBC1D24, TMEM151A); however, these signals were driven by small numbers of variants and were not robust to leave-one-variant-out analyses.
Conclusions:
Rare variants in dystonia-related genes are not major contributors to overall PD risk. Signals observed in the EOPD subset require replication in larger cohorts. © 2026 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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