A "candidate-interactome" aggregate analysis of genome-wide association data in multiple sclerosis.

ABSTRACT: Though difficult, the study of gene-environment interactions in multifactorial diseases is crucial for interpreting the relevance of non-heritable factors and prevents from overlooking genetic associations with small but measurable effects. We propose a "candidate interactome" (i.e. a group of genes whose products are known to physically interact with environmental factors that may be relevant for disease pathogenesis) analysis of genome-wide association data in multiple sclerosis. We looked for statistical enrichment of associations among interactomes that, at the current state of knowledge, may be representative of gene-environment interactions of potential, uncertain or unlikely relevance for multiple sclerosis pathogenesis: Epstein-Barr virus, human immunodeficiency virus, hepatitis B

SUBMITTER: Mechelli R 

PROVIDER: S-EPMC3655974 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature