Abstract
Unlike the typical analysis of single markers in genome-wide association studies (GWAS), we incorporated Gene Set Enrichment Analysis (GSEA) and hypergeometric test and combined them using Fisher's combined method to perform pathway-based analysis in order to detect genes' combined effects on mediating schizophrenia. A few pathways were consistently found to be top ranked and likely associated with schizophrenia by these methods; they are related to metabolism of glutamate, the process of apoptosis, inflammation, and immune system (e.g., glutamate metabolism pathway, TGF-beta signaling pathway, and TNFR1 pathway). The genes involved in these pathways had not been detected by single marker analysis, suggesting this approach may complement the original analysis of GWAS dataset.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 38-42 |
| Number of pages | 5 |
| Journal | Schizophrenia Research |
| Volume | 122 |
| Issue number | 1-3 |
| DOIs | |
| State | Published - Sep 2010 |
Funding
This work was supported by National Institutes of Health Grant nos. AA017437 and MH083094 , a NARSAD Young Investigator Award to Z.Z., and a Thomas F. and Kate Miller Jeffress Memorial Trust Fund grant No. J-900 . The funding agencies had no further role in the design, implementation, or generation of this research report.
Keywords
- Candidate gene
- GWAS
- Gene set enrichment analysis
- Pathway
- Schizophrenia
ASJC Scopus subject areas
- Psychiatry and Mental health
- Biological Psychiatry