A bias-reducing pathway enrichment analysis of genome-wide association data confirmed association of the MHC region with schizophrenia.

Hdl Handle:
http://hdl.handle.net/10147/238786
Title:
A bias-reducing pathway enrichment analysis of genome-wide association data confirmed association of the MHC region with schizophrenia.
Authors:
Jia, Peilin; Wang, Lily; Fanous, Ayman H; Chen, Xiangning; Kendler, Kenneth S; Zhao, Zhongming
Affiliation:
Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.
Citation:
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 genetics
Issue Date:
Feb-2012
URI:
http://hdl.handle.net/10147/238786
DOI:
10.1136/jmedgenet-2011-100397
PubMed ID:
22187495
Abstract:
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:
Article
Language:
en
MeSH:
Cell Adhesion Molecules; Computational Biology; Databases, Genetic; Genetic Predisposition to Disease; Genome-Wide Association Study; Humans; Immune System; Major Histocompatibility Complex; Polymorphism, Single Nucleotide; Schizophrenia; Signal Transduction
ISSN:
1468-6244

Full metadata record

DC FieldValue Language
dc.contributor.authorJia, Peilinen_GB
dc.contributor.authorWang, Lilyen_GB
dc.contributor.authorFanous, Ayman Hen_GB
dc.contributor.authorChen, Xiangningen_GB
dc.contributor.authorKendler, Kenneth Sen_GB
dc.contributor.authorZhao, Zhongmingen_GB
dc.date.accessioned2012-08-15T14:06:58Z-
dc.date.available2012-08-15T14:06:58Z-
dc.date.issued2012-02-
dc.identifier.citationA 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.en_GB
dc.identifier.issn1468-6244-
dc.identifier.pmid22187495-
dc.identifier.doi10.1136/jmedgenet-2011-100397-
dc.identifier.urihttp://hdl.handle.net/10147/238786-
dc.description.abstractAfter 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.en_GB
dc.language.isoenen
dc.rightsArchived with thanks to Journal of medical geneticsen_GB
dc.subject.meshCell Adhesion Molecules-
dc.subject.meshComputational Biology-
dc.subject.meshDatabases, Genetic-
dc.subject.meshGenetic Predisposition to Disease-
dc.subject.meshGenome-Wide Association Study-
dc.subject.meshHumans-
dc.subject.meshImmune System-
dc.subject.meshMajor Histocompatibility Complex-
dc.subject.meshPolymorphism, Single Nucleotide-
dc.subject.meshSchizophrenia-
dc.subject.meshSignal Transduction-
dc.titleA bias-reducing pathway enrichment analysis of genome-wide association data confirmed association of the MHC region with schizophrenia.en_GB
dc.typeArticleen
dc.contributor.departmentDepartment of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.en_GB
dc.identifier.journalJournal of medical geneticsen_GB
dc.description.provinceLeinsteren

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