Whole genome sequencing of glioblastoma reveals enrichment of non-coding constraint mutations in known and novel genes
Glioblastoma (GBM) has one of the worst five-year survival rates of all cancers. While genomic studies of the disease have been performed, alterations in the non-coding regulatory regions of GBM have largely remained unexplored. We apply whole-genome sequencing (WGS) to identify non-coding mutations, with regulatory potential in GBM, under the hypothesis that regions of evolutionary constraint are likely to be functional, and somatic mutations are likely more damaging than in unconstrained regions.
- Type: Other
- Archiver: European Genome-Phenome Archive (EGA)
Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data
Dataset ID | Description | Technology | Samples |
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EGAD00001006084 | 38 |
Publications | Citations |
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Whole-genome sequencing of glioblastoma reveals enrichment of non-coding constraint mutations in known and novel genes.
Genome Biol 21: 2020 127 |
39 |