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Parkinsonism Relat Disord. 2016 Nov;32:25-30. doi: 10.1016/j.parkreldis.2016.08.002. Epub 2016 Aug 3.

Genome-wide gene-environment interaction analysis of pesticide exposure and risk of Parkinson's disease.

Author information

1
Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA; Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.
2
Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
3
Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
4
Platform for Genome Analytics, Institutes of Neurogenetics & Integrative and Experimental Genomics, University of Lübeck, Lübeck, Germany.
5
Platform for Genome Analytics, Institutes of Neurogenetics & Integrative and Experimental Genomics, University of Lübeck, Lübeck, Germany; School of Public Health, Faculty of Medicine, The Imperial College of Science, Technology, and Medicine, London, UK.
6
Department of Neurology, Mayo Clinic, Rochester, MN, USA.
7
Department of Neurology, San Gerardo Hospital, Milan Center for Neuroscience, Monza, Italy.
8
Department of Neurology, NorthShore University HealthSystem, Evanston, IL, USA.
9
Department of Neurology, NorthShore University HealthSystem, Evanston, IL, USA. Electronic address: dmaraganore@northshore.org.

Abstract

INTRODUCTION:

Genetic factors and environmental exposures, including pesticides, contribute to the risk of Parkinson's disease (PD). There have been few studies of gene and pesticide exposure interactions in PD, and all of the prior studies used a candidate gene approach.

METHODS:

We performed the first genome-wide gene-environment interaction analysis of pesticide exposure and risk of Parkinson's disease. Analyses were performed using data on >700,000 single nucleotide polymorphisms (SNPs) in 364 discordant sibling pairs. In addition to testing for SNP-pesticide interaction effects, we also performed exploratory analyses of gene-pesticide interactions at the gene level.

RESULTS:

None of the gene-environment interaction results were significant after genome-wide correction for multiple testing (α = 1.5E-07 for SNP-level tests; α = 2.1E-06 for gene-level tests). Top results in the SNP-level tests provided suggestive evidence (P < 5.0E-06) that the effect of pesticide exposure on PD risk may be modified by SNPs in the ERCC6L2 gene (P = 2.4E-06), which was also supported by suggestive evidence in the gene-level analysis (P = 4.7E-05). None of the candidate genes assessed in prior studies of gene-pesticide interactions reached statistical support in this genome-wide screen.

CONCLUSION:

Although no significant interactions were identified, several of the genes with suggestive evidence of gene-environment interaction effects have biological plausibility for PD risk. Further investigation of the role of those genes in PD risk, particularly in the context of pesticide exposure, in large and carefully recruited samples is warranted.

KEYWORDS:

Gene-environment interaction; Genome wide association study; Parkinson's disease; Pesticide exposure

PMID:
27545685
PMCID:
PMC5125780
DOI:
10.1016/j.parkreldis.2016.08.002
[Indexed for MEDLINE]
Free PMC Article

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