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Joint Genome-Wide Gene Expression and GWAS Mapping in the MGS Dataset

ABSTRACT:

Schizophrenia is a common and severe psychotic disorder. While some common SNPs and rare copy number variants have been identified as being significantly associated with disease risk, the biological mechanisms remain undefined. To identify gene expression abnormalities in schizophrenia, we generated whole-genome gene expression profiles using microarrays on lymphoblastoid cell lines from a total of 413 cases and 446 controls. Regression analysis identified 95 transcripts differentially expressed by affection status at a genome-wide false discovery rate of 0.05, while simultaneously controlling for confounding effects. These transcripts represented 89 genes with functions such as neurotransmission, gene regulation, cell cycle progression, differentiation, apoptosis, and immunity. The observed differential expression of extended major histocompatibility complex region genes converges with the genetic evidence from schizophrenia genome-wide association studies, which find the same region to be the most significant schizophrenia susceptibility locus. Our analysis also provides novel candidate genes for further study to assess their potential contribution to schizophrenia.

PROVIDER: phs000775 | dbGaP |

SECONDARY ACCESSION(S): PRJNA254764PRJNA254765

REPOSITORIES: dbGaP

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			Action	DRS
	GapExchange_phs000775.v1.p1.xml	Xml
	dbGaPEx2.1.5.xsd	Other
	Study_Report.phs000775.MolecularGeneticsSchizophrenia.v1.p1.MULTI.pdf	Pdf
	manifest_phs000775.MolecularGeneticsSchizophrenia.v1.p1.c1.GRU.pdf	Pdf
	manifest_phs000775.MolecularGeneticsSchizophrenia.v1.p1.c2.DS-PD-RSC.pdf	Pdf

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