An integrative analysis of genome-wide association study and regulatory SNP annotation datasets identified candidate genes for bipolar disorder.

ABSTRACT:

Background

Bipolar disorder (BD) is a complex mood disorder. The genetic mechanism of BD remains largely unknown.

Methods

We conducted an integrative analysis of genome-wide association study (GWAS) and regulatory SNP (rSNP) annotation datasets, including transcription factor binding regions (TFBRs), chromatin interactive regions (CIRs), mature microRNA regions (miRNAs), long non-coding RNA regions (lncRNAs), topologically associated domains (TADs) and circular RNAs (circRNAs). Firstly, GWAS dataset 1 of BD (including 20,352 cases and 31,358 controls) and GWAS dataset 2 of BD (including 7481 BD patients and 9250 controls) were integrated with rSNP annotation database to obtain BD associated SNP regulatory elements and SNP regulatory element-target gene (E-G) pairs, respectiv

SUBMITTER: Qi X 

PROVIDER: S-EPMC6995798 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature