Study
Whole genome analysis of mutation hotspots in gastric cancer
| Study ID | Alternative Stable ID | Type |
|---|---|---|
| EGAS00001002872 | Other |
Study Description
Tissue-specific driver mutations in non-coding genomic regions remain undefined for most cancer types. In this study, we unbiasedly analysed 212 gastric cancer whole genomes to identify recurrently mutated non-coding regions in gastric cancer. Applying comprehensive statistical approa- ches to accurately model background mutational processes, we observe significant enrich- ment of non-coding indels (insertions/deletions) in three gastric lineage-specific genes. We further identify 34 mutation hotspots, of which 11 overlap CTCF binding sites (CBSs).
Study Datasets 1 dataset.
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| Dataset ID | Description | Technology | Samples |
|---|---|---|---|
| EGAD00001004279 |
Genomic DNA of tumours and matched normal gastric tissues was extracted (QIAGEN). Libraries were constructed with 300-400 bp insert length, and 101bp or 151bp paired-end sequencing was performed on Illumina Hiseq instruments
|
HiSeq X Ten,Illumina HiSeq 2000,Illumina HiSeq 2500 | 80 |
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