NBDC Research ID: hum0124.v1
SUMMARY
Aims: Identification of the genes associated with epidermal growth factor receptor (EGFR)-mutant lung cancer
Methods: exome sequencing
Participants/Materials: lung cancer patients with EGFR-mutants
Dataset ID | Type of Data | Criteria | Release Date |
---|---|---|---|
JGAS000129 | NGS (Exome) | Controlled-access (Type I) | 2018/04/06 |
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MOLECULAR DATA
Participants/Materials | EGFR-mutant lung cancer (ICD10: C34): 3 cases (in 1 family) |
Targets | Exome |
Target Loci for Capture Methods | - |
Platform | Illumina [HiSeq 2000] |
Library Source | DNAs extracted from peripheral blood cells |
Cell Lines | - |
Library Construction (kit name) | SureSelect Target Enrichment System Human All Exon V2 |
Fragmentation Methods | Ultrasonic fragmentation (Covaris) |
Spot Type | Single-end |
Read Length (without Barcodes, Adaptors, Primers, and Linkers) | 50 bp |
Japanese Genotype-phenotype Archive Dataset ID | JGAD000140 |
Total Data Volume | 9 GB (bam [ref: hg18]) |
Comments (Policies) | NBDC policy |
DATA PROVIDER
Principal Investigator: Toshiaki Kikuchi
Affiliation: Niigata University Graduate School of Medical and Dental Sciences
Project / Group Name: Department of Respiratory Medicine and Infectious Diseases
Funds / Grants (Research Project Number):
Name | Title | Project Number |
---|---|---|
Project for Development of Innovative Research on Cancer Therapeutics (P-DIRECT), Japan Agency for Medical Research and Development (AMED) | Genetic background on carcinogenic mechanisms of EGFR-mutant lung cancer | JP15cm0106073 |
KAKENHI Grant-in-Aid for challenging Exploratory Research | Molecular genetics of EGFR-mutant lung cancer | 24659399 |
PUBLICATIONS
Title | DOI | Dataset ID | |
---|---|---|---|
1 | Exome sequencing deciphers a germline MET mutation in familial epidermal growth factor receptor-mutant lung cancer. | doi: 10.1111/cas.13233 | JGAD000140 |
2 |
USRES (Controlled-access Data)
Principal Investigator | Affiliation | Country/Region | Research Title | Data in Use (Dataset ID) | Period of Data Use |
---|---|---|---|---|---|
Hirofumi Nakaoka | Department of Cancer Genome Research, Sasaki Institute | Japan | Genetic analysis of lung cancer | JGAD000140 | 2022/08/06-2023/03/31 |