Bipolar disorder (BIP) is one of the most common and severe psychiatric disorders with a heritability estimated to be about 70–90%. In recent years, significant progress has been made to elucidate the genetic and molecular mechanisms underlying bipolar disorder. However, the causal genes and pathways remain largely unclear. Here we developed the bipolar disorder database (dbBIP), a comprehensive resource for bipolar disorder research. Currently, dbBIP collected and integrated bipolar disorder related data from the following source: genetic data (SNP associations from the genome-wide association studies, whole exome/genome sequencing (WES/WGS) studies, copy number variants (CNVs) study), gene expression data (spatio-temporal expression pattern, tissue expression data and differentially expressed genes), network-based data (PPI and co-expression), brain eQTL data, integrative analysis data, as well as SNP function annotation information. The dbBIP contains four types of modules: SNP module, Gene module, Analysis module and other module.

Cite us:
Xiao-Yan Li^#, Shun-Shuai Ma^#, Yong Wu, Hui Kong, Ming-Shan Zhang, Xiong-Jian Luo,Jun-Feng Xia^*. dbBIP: a comprehensive bipolar disorder database for genetic research. (2022).