neurogenetics

, Volume 10, Issue 3, pp 173–181

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

Authors

  • A. González-Pérez
    • Department of Structural GenomicsNeoCodex
  • J. Gayán
    • Department of Structural GenomicsNeoCodex
  • J. Marín
    • Unidad de DemenciasHospital Universitario Virgen de la Arrixaca
  • J. J. Galán
    • Department of Structural GenomicsNeoCodex
  • M. E. Sáez
    • Department of Structural GenomicsNeoCodex
  • L. M. Real
    • Department of Structural GenomicsNeoCodex
  • C. Antúnez
    • Unidad de DemenciasHospital Universitario Virgen de la Arrixaca
    • Fundación Alzheimur
    • Department of Structural GenomicsNeoCodex
Original Article

DOI: 10.1007/s10048-009-0170-8

Cite this article as:
González-Pérez, A., Gayán, J., Marín, J. et al. Neurogenetics (2009) 10: 173. doi:10.1007/s10048-009-0170-8

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.

Keywords

Parkinson’s diseaseGenetic epistasisWhole-genome association studySingle nucleotide polymorphismInteraction

Copyright information

© Springer-Verlag 2009