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Related Concept Videos

Bipolar Disorder01:30

Bipolar Disorder

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Bipolar disorder is a chronic mental health condition marked by significant mood fluctuations, including episodes of mania and depression. Elevated energy levels, heightened mood or irritability, impulsive behavior, reduced sleep needs, rapid speech, racing thoughts, inflated self-esteem, and distractibility characterize mania. Individuals with bipolar disorder often alternate between depressive and manic states, with periods of emotional stability lasting an average of six months to a year.
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Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
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Related Experiment Video

Updated: Sep 6, 2025

Developing a Rat Model for Bipolar Disorder
04:44

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dbBIP: a comprehensive bipolar disorder database for genetic research.

Xiaoyan Li1, Shunshuai Ma1, Wenhui Yan1

  • 1Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education and Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology, Anhui University, 111 Jiulong Road, Shushan District, Hefei, Anhui 230601, China.

Database : the Journal of Biological Databases and Curation
|July 2, 2022
PubMed
Summary

dbBIP is a new online database integrating genetic and multi-omics data for bipolar disorder (BIP) research. It offers tools for data mining and analysis, aiding the understanding of BIP

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Area of Science:

  • Genetics
  • Bioinformatics
  • Psychiatric Disorders

Background:

  • Bipolar disorder (BIP) is a common hereditary psychiatric condition with a complex genetic basis.
  • Genome-wide association studies (GWAS) have identified numerous susceptibility loci for BIP, but extracting actionable biological insights remains challenging.
  • An integrated database for genetic and multi-omics data is crucial for advanced data mining in BIP research.

Purpose of the Study:

  • To develop dbBIP, a comprehensive online database and analysis platform for bipolar disorder genetic research.
  • To consolidate published genetic summary statistics, functional annotations, and candidate risk genes for BIP.
  • To provide researchers with tools for in-depth data mining and analysis of BIP-related genetic information.

Main Methods:

  • Developed dbBIP with distinct modules for single nucleotide polymorphisms (SNPs), genes, and data analysis.
  • Integrated large-scale GWAS summary statistics and functional annotation data.
  • Performed extensive analyses including SNP annotation, Mendelian randomization, transcriptome-wide association studies, co-expression, and gene/tissue expression analyses.

Main Results:

  • The dbBIP database now hosts curated genetic and multi-omics data relevant to bipolar disorder.
  • Extensive analytical pipelines are integrated within dbBIP, including functional annotation and association studies.
  • A graphical browser with advanced search functionalities facilitates efficient data navigation and access.

Conclusions:

  • dbBIP serves as a valuable, integrated resource for advancing bipolar disorder genetic research.
  • The platform empowers researchers with comprehensive data and analytical tools for exploring BIP's genetic underpinnings.
  • dbBIP is accessible online at http://dbbip.xialab.info, promoting collaborative research efforts.