GWAS results

    We collected summary statistics from the largest scale GWAS study of bipolar disorder so far: PGC GWAS. In 2019, the Bipolar disorder Working Group of the Psychiatric Genomics Consortium (PGC) reported a multi-stage bipolar disorder genome-wide association study (PGC GWAS) of up to 20,352 cases and 31,358 controls of European descent. In this study, 30 loci were genome-wide significant, including 20 newly identified loci. We downloaded the summary statistics data from the PGC website http://www.med.unc.edu.
    In 2021, the Bipolar disorder Working Group of the Psychiatric Genomics Consortium (PGC) reported a new performed a genome-wide association study (PGC3 GWAS) of 41,917 bipolar disorder cases and 371,549 controls of European descent, which identified 64 associated genomic loci. In this study, of the 64 genome-wide significant loci, 33 are novel discoveries (ie. loci not overlapping with any locus previously reported as genome-wide significant for bipolar disorder). We downloaded the summary statistics data from the PGC website http://www.med.unc.edu.
Data from CADD, Linsight and RegulomeDB were used to annotate the GWAS SNPs.

Differential expression genes

    In 2018, the PsychENCODE Consortium have collected post-mortem dorsolateral prefrontal cortex (DLPFC) tissues from 144 subjects with bipolar disorder cases and 899 controls from European ancestries. We downloaded the differential expression statics summary data and detailed gene expression data from PsychENCODE website http://resource.psychencode.org/.

eQTL data

    We collected gene/transcript expression quantitative trait loci (eQTL) data from the following studies: CMC eQTL (http://www.synapse.org/CMC)[PMID:27668389] , Fetal brain eQTL [PMID:30419947]. and PsychENCODE eQTL (http://resource.psychencode.org/) [PMID:30545856].

Integrative analysis data

    Previously, we used the Summary data-based Mendelian randomization (SMR) and TWAS integrative method to integrate the bipolar disorder GWAS and eQTL data. All the results can be downloaded here.

PPI

    We got the protein-protein interaction information from the study the Liu et al ([PMID:29789256]).

GWAS genes

    We merged the genes identified by PGC2 GWAS and PGC3 GWAS. All the results can be downloaded here.

CNV genes

    We got the genes affected by CNVs from the study of Green et al ([PMID:25560756 ). All the results can be downloaded here.

Exome sequencing genes

     We got the genes identified by exome sequencing from 8 studies (all the 8 studies can be found here). All the results can be downloaded here.

Other download information can be found in the related pages in this website.