González-Pérez A, Gayán J, Marín J, Galán J J, Sáez M E, Real L M, Antúnez C, Ruiz A
Department of Structural Genomics, NeoCodex, Avda. Charles Darwin 6, 41092 Seville, Spain.
Neurogenetics. 2009 Jul;10(3):173-81. doi: 10.1007/s10048-009-0170-8. Epub 2009 Jan 21.
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.
全基因组上位性分析可能会为全基因组关联研究增添新的知识层面，从而能够识别出在传统单基因座分析中完全不明显的新候选基因。我们展示了帕金森病（PD）中的首个全基因组条件双基因座分析。我们扫描了整个基因组，并选择了与先前与PD相关的一组知名基因座（SNCA、Parkin、LRRK2、UCHL1、DJ-1、PINK和MAPT）相互作用的标记。我们的研究描述了几个可能与PD风险相关的基因座，它们与SNCA、PARK1和LRRK2标记相互作用。我们提出条件全基因组双基因座关联分析是一种有价值的方法，可能有助于重新分析和重新解释全基因组关联研究的数据。
