Evaluation of whole genome association study data in bipolar disorders: Potential novel SNPs and genes

Abstract

Objective: As a result of studies of multifactorial conditions, genetic, physiological andenvironmental factors, the overall heritability of bipolar disorders has been estimated to beup to 70%. In this study, an analysis of genome-wide association study data using data miningalgorithms has revealed single-nucleotide polymorphisms that may be the basis for themolecular etiology of bipolar disorders.Methods: The study was conducted as a case-control study, and data from the Whole GenomeAssociation Study of Bipolar Disorder (dbGaP Study Accession: phs000017.v3.p1) were used.The goal of the project was to identify genes that make individuals more susceptible to bipolardisorders. The data set included 1767 controls and 653 bipolar disorder only cases. Genotypingdata were generated by Affymetrix Affy 6.0. A total of 934,940 oligos were scanned.Results: Various data mining approaches have identified 6 common SNPs which also have astatistically higher importance than others (rs10415145, rs10857580, rs11023096, rs4654814,rs4792189, rs7569781). rs10415145 is located on chromosome 19 at 19q13.11 and is related toZNF507 (Zinc Finger Protein 507). While there are no publications reporting ZNF507 in bipolardisorders, a few publications exist studying other zinc finger protein genes. In addition, becauseit had the highest regulome score, DOCK10 was found to be a potentially related gene.Conclusion: Zinc finger protein genes may play a role in the etiology of bipolar disorders. Moredetailed studies would help clarify this relation and describe its pathway.