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NBDC Human Database

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Due to system maintenance, the application system, application review by the Data Access Committee will be unavailable during the following period.
Schedule: October 5th (Mon), 2026, 9:00 - October 7th (Wed), 2026, 15:00 (JST)
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We are currently receiving a large number of applications for data submission, and the review process is taking longer than usual.We sincerely apologize for the delay and kindly ask for your understanding. When submitting an application, we would greatly appreciate it if you could allow sufficient time for the processing.

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

hum0222-v1Release info

Latest

Research title

Identification of responsible genes and development of standardized medicine for familial breast cancer by genetic analysis with NGS technology

Research overview

Aims
To clarify risk of germline variants of known causal genes for Hereditary Breast Ovarian Cancer Syndrome in Japan by combinatorial analysis of somatic and germline variants in the breast cancer tissue.
Methods
Target caputure analysis by using Illumina HiSeq 2000
Participants/materials
108 whole blood and 124 primary tumor samples from familial breast cancer patients
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
JGAD000315NGS (Target Capture)
  • Targeted DNA sequencing
Controlled-access (Type I)2020-09-28

Data provider

Principal investigator
Shinji Ohno
Affiliation
The Cancer Institute Hospital of JFCR

Research projects

No research projects.

Grants

NameTitleProject number
Project for Cancer Research and Therapeutic Evolution (P-CREATE), Japan Agency for Medical Research and Development (AMED)
Identification of responsible genes and development of standardized medicine for familial breast cancer by genetic analysis with NGS technology
  • JP16cm0106503

Related publications

TitleDOIDataset ID
Prevalence of disease-causing genes in Japanese patients with BRCA1/2-wildtype hereditary breast and ovarian cancer syndrome

Controlled access users

No use of the controlled access data has been recorded.