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Link to original content: https://pubmed.ncbi.nlm.nih.gov/17052657/
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Comparative Study
. 2006 Nov;5(11):911-6.
doi: 10.1016/S1474-4422(06)70578-6.

Genome-wide genotyping in Parkinson's disease and neurologically normal controls: first stage analysis and public release of data

Hon-Chung Fung  1 , Sonja Scholz, Mar Matarin, Javier Simón-Sánchez, Dena Hernandez, Angela Britton, J Raphael Gibbs, Carl Langefeld, Matt L Stiegert, Jennifer Schymick, Michael S Okun, Ronald J Mandel, Hubert H Fernandez, Kelly D Foote, Ramón L Rodríguez, Elizabeth Peckham, Fabienne Wavrant De Vrieze, Katrina Gwinn-Hardy, John A Hardy, Andrew Singleton
Affiliations
Comparative Study

Genome-wide genotyping in Parkinson's disease and neurologically normal controls: first stage analysis and public release of data

Hon-Chung Fung et al. Lancet Neurol. 2006 Nov.

Abstract

Background: Several genes underlying rare monogenic forms of Parkinson's disease have been identified over the past decade. Despite evidence for a role for genetics in sporadic Parkinson's disease, few common genetic variants have been unequivocally linked to this disorder. We sought to identify any common genetic variability exerting a large effect in risk for Parkinson's disease in a population cohort and to produce publicly available genome-wide genotype data that can be openly mined by interested researchers and readily augmented by genotyping of additional repository subjects.

Methods: We did genome-wide, single-nucleotide-polymorphism (SNP) genotyping of publicly available samples from a cohort of Parkinson's disease patients (n=267) and neurologically normal controls (n=270). More than 408,000 unique SNPs were used from the Illumina Infinium I and HumanHap300 assays.

Findings: We have produced around 220 million genotypes in 537 participants. This raw genotype data has been and as such is the first publicly accessible high-density SNP data outside of the International HapMap Project. We also provide here the results of genotype and allele association tests.

Interpretation: We generated publicly available genotype data for Parkinson's disease patients and controls so that these data can be mined and augmented by other researchers to identify common genetic variability that results in minor and moderate risk for disease.

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