A bias-reducing pathway enrichment analysis of genome-wide association data confirmed association of the MHC region with schizophrenia.
Affiliation
Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.Issue Date
2012-02MeSH
Cell Adhesion MoleculesComputational Biology
Databases, Genetic
Genetic Predisposition to Disease
Genome-Wide Association Study
Humans
Immune System
Major Histocompatibility Complex
Polymorphism, Single Nucleotide
Schizophrenia
Signal Transduction
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Show full item recordCitation
A bias-reducing pathway enrichment analysis of genome-wide association data confirmed association of the MHC region with schizophrenia. 2012, 49 (2):96-103 J. Med. Genet.Journal
Journal of medical geneticsDOI
10.1136/jmedgenet-2011-100397PubMed ID
22187495Abstract
After the recent successes of genome-wide association studies (GWAS), one key challenge is to identify genetic variants that might have a significant joint effect on complex diseases but have failed to be identified individually due to weak to moderate marginal effect. One popular and effective approach is gene set based analysis, which investigates the joint effect of multiple functionally related genes (eg, pathways). However, a typical gene set analysis method is biased towards long genes, a problem that is especially severe in psychiatric diseases.Item Type
ArticleLanguage
enISSN
1468-6244ae974a485f413a2113503eed53cd6c53
10.1136/jmedgenet-2011-100397
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