Whole-genome conditional two-locus analysis identifies novel candidate genes for late-onset Parkinson's disease

A. González-Pérez, J. Gayán, J. Marín, J. J. Galán, M. E. Sáez, L. M. Real, C. Antúnez, A. Ruiz

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

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 languageEnglish (US)
Pages (from-to)173-181
Number of pages9
JournalNeurogenetics
Volume10
Issue number3
DOIs
StatePublished - Jul 2009
Externally publishedYes

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

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