Abstract
Whole-genome epistasis analysis may add a new layer of knowledge to whole-genome association studies, permitting the identification of new candidate genes which are completely transparent during conventional single-locus analysis. We present the first whole-genome conditional two-locus analysis in Parkinson's disease (PD). We scanned the entire genome and selected markers that interacted with a set of well-known loci previously associated to PD (SNCA, Parkin, LRRK2, UCHL1, DJ-1, PINK and MAPT). Our work describes several loci potentially related to PD risk which interact with SNCA, PARK1 and LRRK2 markers. We propose conditional whole-genome two-locus association analysis as a valuable method that might be helpful in re-analysing and re-interpreting data from whole-genome association studies.
Original language | English (US) |
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Pages (from-to) | 173-181 |
Number of pages | 9 |
Journal | Neurogenetics |
Volume | 10 |
Issue number | 3 |
DOIs | |
State | Published - Jul 2009 |
Externally published | Yes |
Keywords
- Genetic epistasis
- Interaction
- Parkinson's disease
- Single nucleotide polymorphism
- Whole-genome association study
ASJC Scopus subject areas
- Genetics
- Genetics(clinical)
- Cellular and Molecular Neuroscience