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Meta-analysis supports GWAS-implicated link between GRM3 and schizophrenia risk
Genome-wide association study (GWAS) evidence has identified the metabotropic glutamate receptor 3 (GRM3) gene as a potential harbor for schizophrenia risk variants. However, previous meta-analyses have refuted the association between GRM3 single-nucleotide polymorphisms (SNPs) and schizophrenia ris...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5611739/ https://www.ncbi.nlm.nih.gov/pubmed/28786982 http://dx.doi.org/10.1038/tp.2017.172 |
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author | Saini, S M Mancuso, S G Mostaid, Md S Liu, C Pantelis, C Everall, I P Bousman, C A |
author_facet | Saini, S M Mancuso, S G Mostaid, Md S Liu, C Pantelis, C Everall, I P Bousman, C A |
author_sort | Saini, S M |
collection | PubMed |
description | Genome-wide association study (GWAS) evidence has identified the metabotropic glutamate receptor 3 (GRM3) gene as a potential harbor for schizophrenia risk variants. However, previous meta-analyses have refuted the association between GRM3 single-nucleotide polymorphisms (SNPs) and schizophrenia risk. To reconcile these conflicting findings, we conducted the largest and most comprehensive meta-analysis of 14 SNPs in GRM3 from a total of 11 318 schizophrenia cases, 13 820 controls and 486 parent–proband trios. We found significant associations for three SNPs (rs2237562: odds ratio (OR)=1.06, 95% confidence interval (CI)=1.02–1.11, P=0.017; rs13242038: OR=0.90, 95% CI=0.85–0.96, P=0.016 and rs917071: OR=0.94, 95% CI=0.91–0.97, P=0.003). Two of these SNPs (rs2237562, rs917071) were in strong-to-moderate linkage disequilibrium with the top GRM3 GWAS significant SNP (rs12704290) reported by the Schizophrenia Working Group of the Psychiatric Genomics Consortium. We also found evidence for population stratification related to rs2237562 in that the ‘risk’ allele was dependent on the population under study. Our findings support the GWAS-implicated link between GRM3 genetic variation and schizophrenia risk as well as the notion that alleles conferring this risk may be population specific. |
format | Online Article Text |
id | pubmed-5611739 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-56117392017-09-27 Meta-analysis supports GWAS-implicated link between GRM3 and schizophrenia risk Saini, S M Mancuso, S G Mostaid, Md S Liu, C Pantelis, C Everall, I P Bousman, C A Transl Psychiatry Original Article Genome-wide association study (GWAS) evidence has identified the metabotropic glutamate receptor 3 (GRM3) gene as a potential harbor for schizophrenia risk variants. However, previous meta-analyses have refuted the association between GRM3 single-nucleotide polymorphisms (SNPs) and schizophrenia risk. To reconcile these conflicting findings, we conducted the largest and most comprehensive meta-analysis of 14 SNPs in GRM3 from a total of 11 318 schizophrenia cases, 13 820 controls and 486 parent–proband trios. We found significant associations for three SNPs (rs2237562: odds ratio (OR)=1.06, 95% confidence interval (CI)=1.02–1.11, P=0.017; rs13242038: OR=0.90, 95% CI=0.85–0.96, P=0.016 and rs917071: OR=0.94, 95% CI=0.91–0.97, P=0.003). Two of these SNPs (rs2237562, rs917071) were in strong-to-moderate linkage disequilibrium with the top GRM3 GWAS significant SNP (rs12704290) reported by the Schizophrenia Working Group of the Psychiatric Genomics Consortium. We also found evidence for population stratification related to rs2237562 in that the ‘risk’ allele was dependent on the population under study. Our findings support the GWAS-implicated link between GRM3 genetic variation and schizophrenia risk as well as the notion that alleles conferring this risk may be population specific. Nature Publishing Group 2017-08 2017-08-08 /pmc/articles/PMC5611739/ /pubmed/28786982 http://dx.doi.org/10.1038/tp.2017.172 Text en Copyright © 2017 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/ |
spellingShingle | Original Article Saini, S M Mancuso, S G Mostaid, Md S Liu, C Pantelis, C Everall, I P Bousman, C A Meta-analysis supports GWAS-implicated link between GRM3 and schizophrenia risk |
title | Meta-analysis supports GWAS-implicated link between GRM3 and schizophrenia risk |
title_full | Meta-analysis supports GWAS-implicated link between GRM3 and schizophrenia risk |
title_fullStr | Meta-analysis supports GWAS-implicated link between GRM3 and schizophrenia risk |
title_full_unstemmed | Meta-analysis supports GWAS-implicated link between GRM3 and schizophrenia risk |
title_short | Meta-analysis supports GWAS-implicated link between GRM3 and schizophrenia risk |
title_sort | meta-analysis supports gwas-implicated link between grm3 and schizophrenia risk |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5611739/ https://www.ncbi.nlm.nih.gov/pubmed/28786982 http://dx.doi.org/10.1038/tp.2017.172 |
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