Jansen, Iris E., Gibbs, J. Raphael, Nalls, Mike A., Price, T. Ryan, Lubbe, Steven, van Rooij, Jeroen, Uitterlinden, André G., Kraaij, Robert, Williams, Nigel ORCID: https://orcid.org/0000-0003-1177-6931, Brice, Alexis, Hardy, John, Wood, Nicholas W., Morris, Huw R., Gasser, Thomas, Singleton, Andrew B., Heutink, Peter and Sharma, Manu 2017. Establishing the role of rare coding variants in known Parkinson's disease risk loci. Neurobiology of Aging 59 , 220.e11-220.e18. 10.1016/j.neurobiolaging.2017.07.009 |
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Abstract
Many common genetic factors have been identified to contribute to Parkinson's disease (PD) susceptibility, improving our understanding of the related underlying biological mechanisms. The involvement of rarer variants in these loci has been poorly studied. Using International Parkinson's Disease Genomics Consortium data sets, we performed a comprehensive study to determine the impact of rare variants in 23 previously published genome-wide association studies (GWAS) loci in PD. We applied Prix fixe to select the putative causal genes underneath the GWAS peaks, which was based on underlying functional similarities. The Sequence Kernel Association Test was used to analyze the joint effect of rare, common, or both types of variants on PD susceptibility. All genes were tested simultaneously as a gene set and each gene individually. We observed a moderate association of common variants, confirming the involvement of the known PD risk loci within our genetic data sets. Focusing on rare variants, we identified additional association signals for LRRK2, STBD1, and SPATA19. Our study suggests an involvement of rare variants within several putatively causal genes underneath previously identified PD GWAS peaks.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Medicine MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG) |
Publisher: | Elsevier |
ISSN: | 0197-4580 |
Date of First Compliant Deposit: | 26 February 2018 |
Date of Acceptance: | 22 July 2017 |
Last Modified: | 26 Nov 2024 13:30 |
URI: | https://orca.cardiff.ac.uk/id/eprint/109440 |
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