A Genome-Wide Association Study and Complex Network Identify Four Core Hub Genes in Bipolar Disorder
- PMID: 29257106
- PMCID: PMC5751362
- DOI: 10.3390/ijms18122763
A Genome-Wide Association Study and Complex Network Identify Four Core Hub Genes in Bipolar Disorder
Abstract
Bipolar disorder is a common and severe mental illness with unsolved pathophysiology. A genome-wide association study (GWAS) has been used to find a number of risk genes, but it is difficult for a GWAS to find genes indirectly associated with a disease. To find core hub genes, we introduce a network analysis after the GWAS was conducted. Six thousand four hundred fifty eight single nucleotide polymorphisms (SNPs) with p < 0.01 were sifted out from Wellcome Trust Case Control Consortium (WTCCC) dataset and mapped to 2045 genes, which are then compared with the protein-protein network. One hundred twelve genes with a degree >17 were chosen as hub genes from which five significant modules and four core hub genes (FBXL13, WDFY2, bFGF, and MTHFD1L) were found. These core hub genes have not been reported to be directly associated with BD but may function by interacting with genes directly related to BD. Our method engenders new thoughts on finding genes indirectly associated with, but important for, complex diseases.
Keywords: GWAS; bipolar disorder; functional enrichment analysis; network analysis.
Conflict of interest statement
The authors declare no conflict of interest.
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References
-
- Kessler R.C., Akiskal H.S., Ames M., Birnbaum H., Greenberg P., Hirschfeld R.M., Jin R., Merikangas K.R., Simon G.E., Wang P.S. Prevalence and effects of mood disorders on work performance in a nationally representative sample of U.S. workers. Am. J. Psychiatry. 2006;163:1561–1568. doi: 10.1176/ajp.2006.163.9.1561. - DOI - PMC - PubMed
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