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Following a change to our organizational structure effective April 1, 2026, this division has been renamed from the "Database Center for Life Science, Joint Support-Center for Data Science Research" to the "Database Division for Life Science (DBCLS), BioData Science Initiative (BSI), National Institute of Genetics (NIG)". Where the former name still appears in the guidelines, please read it as the new name.

Research ID

hum0021-v2Release info

This page is a past version (v2). The latest version is v3.
Latest version (v3)

Research title

Genetic Analysis in Psychiatric Disorders

Research overview

Aims
Identify genes relevant to bipolar disorder
Methods
Whole exome sequence analysis using Illumina HiSeq 2000/2500
Participants/materials
Three pairs of healthy monozygotic twins, 66 trios with bipolar disorder proband and unaffected parents

Datasets

The list is the one this version published; each dataset's content is shown as it is now.

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000014NGS (Exome)
  • WES
Controlled-access (Type I)2020-09-28
JGAD000379NGS (Exome)
  • WES
Controlled-access (Type I)2021-03-04

Data provider

Principal investigator
Tadafumi Kato
Affiliation
RIKEN Brain Science Institute

Research projects

NameURL
Laboratory of Molecular Dynamics of Mental Disorders

Grants

NameTitleProject number
KAKENHI Grant-in-Aid for Challenging Exploratory Research
Search for genetic mutations by next generation sequencing of monozygotic twins discordant for bipolar disorder.
  • 21659277
Platform Program for Promotion of Genome Medicine, Japan Agency for Medical Research and Development (AMED)
Integrated research for the realization of genome medicine of mental disorders
  • JP18km0405208
Strategic Research Program for Brain Sciences, Japan Agency for Medical Research and Development (AMED)
Identification of genetically defined subsets of bipolar disorder by trio sequencing.
  • JP20dm0107133

Related publications

TitleDOIDataset ID
Exome sequencing for bipolar disorder points to roles of de novo loss-of-function and protein-altering mutations.
Systematic analysis of exonic germline and postzygotic de novo mutations in bipolar disorder

Controlled access users

Principal investigatorAffiliationCountry/RegionResearch titlePeriod of data useDataset ID
Hailiang HuangStanley Center, the Broad InstituteMassachusetts, United StatesAsian Bipolar Genetics Network (A-BIG-NET)2021-08-12 – 2024-08-29
Masahiro NakatochiPublic Health Informatics Unit Department of Integrated Health Sciences, Nagoya UniversityJapanResearch on elucidation of susceptibility to brain and mental diseases (vulnerability to disease onset) and efficacy and side effects of drugs (treatment responsiveness) through genetic analysis2023-03-08 – 2025-10-27