Whole-genome conditional two-locus analysis identifies novel candidate genes for late-onset Parkinson's disease.
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
A
A
Department of Structural Genomics, NeoCodex, Avda. Charles Darwin 6, 41092 Seville, Spain.
Gayán
J
J
Marín
J
J
Galán
J J
JJ
Sáez
M E
ME
Real
L M
LM
Antúnez
C
C
Ruiz
A
A
D000328:Adult; D017668:Age of Onset; D000368:Aged; D000369:Aged, 80 and over; D030541:Databases, Genetic; D004843:Epistasis, Genetic; D005819:Genetic Markers; D020022:Genetic Predisposition to Disease; D016678:Genome; D055106:Genome-Wide Association Study; D006801:Humans; D008875:Middle Aged; D008969:Molecular Sequence Data; D010300:Parkinson Disease / Q000453:epidemiology / Q000235:genetics; D020641:Polymorphism, Single Nucleotide
D005819:Genetic Markers