Volume 7 Supplement 1
Role of miRNA binding site SNPs in candidate genes in a North Indian schizophrenia cohort
© John et al; licensee BioMed Central Ltd. 2014
Published: 21 January 2014
Schizophrenia (SZ) is a debilitating neuropsychiatric disorder with ~80% heritability. Despite several genetic studies including linkage and candidate gene association and more recently GWAS, which have identified several risk variants, the total heritability of SZ remains elusive. In addition, a number of gene expression studies have reported dysregulation of candidate genes both in brain and blood of SZ cases compared to controls. Although, the role of coding, promoter, intergenic and UTR SNPs, have been demonstrated, very little is known about the role of miRNA binding site SNPs. In this study, we undertook to investigate the association, if any, of this important class of regulatory variants with SZ. Using in silico prediction tools, 27 functionally relevant SNPs from around 150 candidate genes were prioritized and genotyped in a north Indian SZ cohort (n=507 cases; n=522 controls).
Test of association of these SNPs showed only one variant rs7430 in PPP3CC to be associated (p=0.01) with SZ. Analysis of genotype data in a subset of patients (TD positive n=89; TD negative n=160) with Tardive dyskinesia (TD), an iatrogenic disorder of SZ, showed association of rs4846049 in MTHFR (p=0.04) & rs17881908 in GCLM (p= 0.05 ) with this condition. Further regression analysis of the genotype data with neurocognitive measures in a subset (cases n=152; controls n=290) of the study cohort, showed significant association of nine SNPs (p< 0.05) with different domains of cognition. Based on this moderately powered study, the contribution of miRNA binding site SNPs in candidate genes to SZ and to TD seems negligible. However, their promising contribution to cognitive parameters warrants additional investigations.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.