, Volume 10, Issue 3, pp 173-181
Date: 21 Jan 2009

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

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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.

González-Pérez and Gayán contributed equally to this work.