Meta-analysis indicates that common variants at the DISC1 locus are not associated with schizophrenia
Open Access
- 12 April 2011
- journal article
- research article
- Published by Springer Nature in Molecular Psychiatry
- Vol. 17 (6) , 634-641
- https://doi.org/10.1038/mp.2011.41
Abstract
Several polymorphisms in the Disrupted-in-Schizophrenia-1 (DISC1) gene are reported to be associated with schizophrenia. However, to date, there has been little effort to evaluate the evidence for association systematically. We carried out an imputation-driven meta-analysis, the most comprehensive to date, using data collected from 10 candidate gene studies and three genome-wide association studies containing a total of 11 626 cases and 15 237 controls. We tested 1241 single-nucleotide polymorphisms in total, and estimated that our power to detect an effect from a variant with minor allele frequency >5% was 99% for an odds ratio of 1.5 and 51% for an odds ratio of 1.1. We find no evidence that common variants at the DISC1 locus are associated with schizophrenia.Keywords
This publication has 61 references indexed in Scilit:
- A map of human genome variation from population-scale sequencingNature, 2010
- Integrating common and rare genetic variation in diverse human populationsNature, 2010
- Common SNPs explain a large proportion of the heritability for human heightNature Genetics, 2010
- Gene variants associated with schizophrenia in a Norwegian genome-wide study are replicated in a large European cohortJournal of Psychiatric Research, 2010
- Common variants conferring risk of schizophreniaNature, 2009
- Identification of ten loci associated with height highlights new biological pathways in human growthNature Genetics, 2008
- A new multipoint method for genome-wide association studies by imputation of genotypesNature Genetics, 2007
- Genetic association between schizophrenia and the DISC1 gene in the Scottish populationAmerican Journal Of Medical Genetics Part B-Neuropsychiatric Genetics, 2006
- Quantifying heterogeneity in a meta‐analysisStatistics in Medicine, 2002
- Meta-analysis in clinical trialsControlled Clinical Trials, 1986