Please use this identifier to cite or link to this item:
Title: Interaction between SNCA, LRRK2 and GAK increases susceptibility to Parkinson's disease in a Chinese population
Authors: Yu W.-J.
Cheng L.
Li N.-N.
Wang L.
Tan E.-K. 
Peng R.
Keywords: GAK
Gene-gene interaction
Parkinson's disease
Issue Date: 2015
Publisher: Elsevier
Citation: Yu W.-J., Cheng L., Li N.-N., Wang L., Tan E.-K., Peng R. (2015). Interaction between SNCA, LRRK2 and GAK increases susceptibility to Parkinson's disease in a Chinese population. eNeurologicalSci 1 (1) : 3-Jun. ScholarBank@NUS Repository.
Abstract: PD is a complex disease, and may result from gene-gene and gene-environment interactions. There are limited studies on gene-gene interactions in PD. We and others have previously shown that SNCA rs356219, LRRK2 (rs2046932 and rs7304279) and GAK (rs1564282) are risk factors in sporadic PD. Since the expression of SNCA and neurotoxicity of alpha-synuclein are affected by LRRK2 and GAK, we hypothesize that their genetic risk variants may interact with each other. Here we investigated the interaction of SNCA rs356219, LRRK2rs7304279 and rs2046932 and GAK rs1564282 using the Multifactor Dimensionality Reduction (MDR) in a Chinese PD patient-control series (534 patients and 435 controls) and the cumulative risk effect of SNCA, LRRK2 and GAK. The MDR analysis showed a significant gene-gene interaction between the rs356219 of SNCA, rs2046932 of LRRK2 and rs1564282 of GAK. Moreover, individuals with increasing numbers of variants had an increasing likelihood of having PD, compared with those carrying none of the variants. The estimated OR for developing PD in individuals carrying 3 variants was 5.89. We demonstrated for the first time that SNPs in SNCA, LRRK2 and GAK interacted with each other to confer an increased risk of PD. In addition, PD risk increased cumulatively with the increasing number of variants. © 2015 The Authors. Published by Elsevier B.V.
Source Title: eNeurologicalSci
ISSN: 2405-6502
DOI: 10.1016/j.ensci.2015.08.001
Appears in Collections:Elements
Staff Publications

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
j.ensci.2015.08.001.pdf311.23 kBAdobe PDF




checked on Jul 11, 2020

Page view(s)

checked on Jul 10, 2020


checked on Jul 10, 2020

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.