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Dataset Information

Genetic prediction of impulse control disorders in Parkinson's disease.


ABSTRACT:

Objective

To develop a clinico-genetic predictor of impulse control disorder (ICD) risk in Parkinson's disease (PD).

Methods

In 5770 individuals from three PD cohorts (the 23andMe, Inc.; the University of Pennsylvania [UPenn]; and the Parkinson's Progression Markers Initiative [PPMI]), we used a discovery-replication strategy to develop a clinico-genetic predictor for ICD risk. We first performed a Genomewide Association Study (GWAS) for ICDs anytime during PD in 5262 PD individuals from the 23andMe cohort. We then combined newly discovered ICD risk loci with 13 ICD risk loci previously reported in the literature to develop a model predicting ICD in a Training dataset (n = 339, from UPenn and PPMI cohorts). The model was tested in a non-overlapping Test dataset (n = 169, fro

SUBMITTER: Weintraub D 

PROVIDER: S-EPMC9268896 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature