Neurology GeneticsGeneticsPeer-reviewed journal article
Analysis of common and rare VPS13C variants in late onset Parkinson disease
Uladzislau RudakouiD, Jennifer A. RuskeyiD, Lynne KrohniD, Sandra B. Laurent, Dan SpiegelmaniD, Lior GreenbaumiD, Gilad YahalomiD, Alex DésautelsiD, Jacques Yves MontplaisiriD, Stanley Fahn, Cheryl WatersiD, Oren Levy, Caitlin M. Kehoe, Sushma Narayan, Yves A DauvilliersiD, Nicolas DupréiD, Sharon Hassin‐BaeriD, Roy N. AlcalayiD, Guy Armand RouleauiD, Edward A. FoniD, Ziv Gan‐OriD
Abstract
ObjectiveWe aimed to study the role of coding VPS13C variants in a large cohort of late-onset PD (LOPD) patients.\n\nMethodsVPS13C and its untranslated regions were sequenced using targeted next-generation sequencing in 1,567 PD patients and 1,667 controls from 3 cohorts. Association tests of rare potential homozygous and compound heterozygous variants and burden tests for rare heterozygous variants were performed. Common variants were analyzed using logistic regression adjusted for age and sex in each of the cohorts, followed by a meta-analysis.\n\nResultsNo bi-allelic carriers of rare VPS13C variants were found among patients and two carriers of compound heterozygous variants were found in two controls. There was no statistically significant burden of rare (MAF<1%) or very rare (MAF<0.1%) coding VPS13C variants in PD. A VPS13C haplotype including the p.R153H-p.I398I-p.I1132V-p.Q2376Q variants was nominally associated with a reduced risk for PD (meta-analysis of the tagging SNP p.I1132V (OR=0.48, 95%CI=0.28-0.82, p=0.0052). This haplotype was not in linkage disequilibrium (LD) with the known genome-wide association study (GWAS) top hit.\n\nConclusionsOur results do not support a role for rare heterozygous or bi-allelic VPS13C variants in LOPD. Additional genetic replication and functional studies are needed to examine the role of the haplotype identified here associated with reduced risk for PD.
- organism: human
- assay: whole-exome sequencing
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 26
- FWCI
- 1.62
- Field percentile
- top 14%
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