We collected GWAS data from two large scale studies: PGC2 GWAS and CLOZUK + PGC GWAS. In 2014, the Psychiatric Genomics Consortium (PGC) reported a
schizophrenia genome-wide association study (PGC2 GWAS) of up to 35,476 cases and 46,839 controls and then merged these samples with previous
GWAS for a total of 36,989 cases and 113,075 controls. They identified 128 independent associations spanning 108 conservatively defined loci that
meet genome-wide significance. We downloaded the summary statistics data from the PGC website http://www.med.unc.edu.
In 2018, Pardiñas et al. collected genome-wide genotype information for 11,260 schizophrenia cases and 24,542 controls. They combined these samples with 29,415 cases and 40,101 controls from independent PGC datasets and performed meta-analysis. In total, 179 independent genome-wide significant SNPs mapping to 145 independent loci were identified to be associated with schizophrenia. We downloaded the summary statistics of this meta-analysis from http://walters.psycm.cf.ac.uk/.
Data from SIFT, PolyPhen, CADD, EIGEN, GWAVA and LINSIGHT were used to annotate the GWAS SNPs.
In 2016, the CommonMind Consortium reported the largest scale case-control brain prefrontal cortex (PFC) gene expression data with 258 schizophrenia cases and 279 healthy controls by RNA sequencing. We downloaded the differential expression statics summary data and detailed gene expression data from CMC website http://www.synapse.org/CMC.
Previously, we used the Sherlock and Summary data-based Mendelian randomization (SMR) integrative method to integrate the schizophrenia GWAS and eQTL data. All the results can be downloaded here.
We merged the genes identified by PGC2 GWAS and CLOZUK + PGC GWAS. All the results can be downloaded here.
Other download information can be found in the related pages in this website.