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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

hum0377-v1Release info

Latest

Research title

Research on the genetic basis of arrhythmia syndrome

Research overview

Aims
Some of the fatal familial arrhythmias cause sudden death in seemingly healthy individuals. It is not easy to make a pre-symptomatic diagnosis of these diseases using only clinical examinations such as an electrocardiogram. The purpose of this study is to elucidate the cause of lethal arrhythmia and/or the genetic factors that influence its susceptibility, thereby enabling early diagnosis and selection of effective treatment methods, and preventing sudden death. If a genetic abnormality is found, it is expected that the functional abnormality can be evaluated and appropriate measures to prevent sudden death can be taken.
Methods
Peripheral blood cells were collected from the patients with LQTS and genomic DNAs were extracted. Fifteen causative and 85 candidate genetic loci of LQTS were targeted for the sequence analysis.
Participants/materials
Japanese 556 LQTS patients
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000705NGS (Amplicon-seq)
  • RNA Amplicon-seq
Controlled-access (Type I)2022-11-28

Data provider

Principal investigator
Toshihiro Tanaka
Affiliation
BioResource Research Center, Tokyo Medical and Dental University

Research projects

Grants

NameTitleProject number
Platform Program for Promotion of Genome Medicine, Japan Agency for Medical Research and Development (AMED)
Elucidation of risk genes for sudden cardiac death and development of a stratification system
  • JP17km0405109

Related publications

TitleDOIDataset ID
Targeted deep sequencing analyses of long QT syndrome in a Japanese population.

Controlled access users

No use of the controlled access data has been recorded.