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) |
|---|---|
| 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
Fingerprint
Dive into the research topics of 'Whole-genome conditional two-locus analysis identifies novel candidate genes for late-onset Parkinson's disease'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS