Systematic associations between germ-line mutations and human cancers
| dc.contributor.author | Al-Shammari, Mohamad H. | * |
| dc.contributor.author | Tobin, Desmond J. | * |
| dc.contributor.author | Peng, Yonghong | * |
| dc.date.accessioned | 2017-03-31T08:25:33Z | |
| dc.date.available | 2017-03-31T08:25:33Z | |
| dc.date.issued | 2016 | |
| dc.identifier.citation | Al-Shammari M, Tobin DJ and Peng Y (2016) Systematic associations between germ-line mutations and human cancers. International Journal of Computational Biology and Drug Design. 9(1-2): 135-148. | en_US |
| dc.identifier.uri | http://hdl.handle.net/10454/11744 | |
| dc.description | Yes | en_US |
| dc.description.abstract | The revolution in Big Data has opened the gate for new research challenges in biomedical science. The aim of this study was to investigate whether germ-line gene mutations are a significant factor in 29 major primary human cancers. Using data obtained from multiple biological databases, we identified 424 genes from 8879 cancer mutation records. By integrating these gene mutation records a human cancer map was constructed from which several key results were obtained. These include the observations that missense/nonsense and regulatory mutations might play central role in connecting cancers/genes, and tend to be distributed in all chromosomes. This suggests that, of all mutation classes missense/nonsense and regulatory mutation classes are over-expressed in human genome and so are likely to have a significant impact on human cancer aetiology and pathomechanism. This offers new insights into how the distribution and interconnections of gene mutations influence the development of cancers. | en_US |
| dc.language.iso | en | en_US |
| dc.relation.isreferencedby | http://www.inderscienceonline.com/doi/abs/10.1504/IJCBDD.2016.074980 | en_US |
| dc.rights | © 2016 Inderscience Enterprises Ltd. Reproduced in accordance with the publisher's self-archiving policy. | |
| dc.subject | Germ-line mutations; Human cancers; Gene mutations; Chromosomes; Pathways; Big data; Cancer mutation; Cancer map; Gene mutation interconnections; Gene mutation distribution; Bioinformatics | en_US |
| dc.title | Systematic associations between germ-line mutations and human cancers | en_US |
| dc.status.refereed | Yes | en_US |
| dc.type | Article | en_US |
| dc.type.version | Accepted Manuscript | en_US |
| refterms.dateFOA | 2018-07-26T09:17:00Z |
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