Literature DB >> 21816655

Do interactions between SNCA, MAPT, and LRRK2 genes contribute to Parkinson's disease susceptibility?

Joanna M Biernacka1, Sebastian M Armasu, Julie M Cunningham, J Eric Ahlskog, Sun Ju Chung, Demetrius M Maraganore.   

Abstract

BACKGROUND: Polymorphisms in SNCA, MAPT and LRRK2 genes have recently been confirmed as risk factors for Parkinson's disease (PD), although with small individual attributable risk. Here we investigated the association of PD with interactions between variants of these genes.
METHODS: As part of a previous study of PD susceptibility genes 119 SNCA, MAPT, and LRRK2 haplotype tagging single nucleotide polymorphisms (SNPs) and two variable number tandem repeats (VNTRs) were genotyped in 1098 PD cases from the upper Midwest, USA and 1098 matched controls. Twenty-six of these SNPs were selected for SNP-SNP (or SNP-VNTR or VNTR-VNTR) interaction analysis (256 interaction pairs). Case-control analyses were performed to study association of pairwise SNP interactions with PD susceptibility.
RESULTS: Out of the 256 interaction pairs investigated, 10 had uncorrected p-values <0.05. These represented six SNCA-LRRK2 pairs, three SNCA-MAPT pairs, and one MAPT-LRRK2 pair. However, none of these pairwise interactions were significant after correction for multiple testing. Secondary analyses in strata defined by type of control (sibling or unrelated), sex, or age at onset of the case also did not reveal any significant interactions after accounting for multiple testing.
CONCLUSIONS: This study provides no statistically significant evidence of gene-gene interaction effects for the three confirmed genetic susceptibility loci for PD. However, this does not exclude the possibility that other genomic loci or environmental risk factors interact with these genes.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21816655      PMCID: PMC4723425          DOI: 10.1016/j.parkreldis.2011.07.001

Source DB:  PubMed          Journal:  Parkinsonism Relat Disord        ISSN: 1353-8020            Impact factor:   4.891


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