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David C. Wedge

Researcher at University of Manchester

Publications -  187
Citations -  40107

David C. Wedge is an academic researcher from University of Manchester. The author has contributed to research in topics: Cancer & Somatic evolution in cancer. The author has an hindex of 59, co-authored 156 publications receiving 31552 citations. Previous affiliations of David C. Wedge include University of Oxford & University of Cambridge.

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Signatures of mutational processes in human cancer

Ludmil B. Alexandrov, +84 more
- 22 Aug 2013 - 
TL;DR: It is shown that hypermutation localized to small genomic regions, ‘kataegis’, is found in many cancer types, and this results reveal the diversity of mutational processes underlying the development of cancer.
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Mutational Processes Molding the Genomes of 21 Breast Cancers

TL;DR: This work generated catalogs of somatic mutation from 21 breast cancers and applied mathematical methods to extract mutational signatures of the underlying processes, finding a remarkable phenomenon of localized hypermutation, termed “kataegis,” was observed.
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Landscape of somatic mutations in 560 breast cancer whole-genome sequences

Serena Nik-Zainal, +89 more
- 02 Jun 2016 - 
TL;DR: This analysis of all classes of somatic mutation across exons, introns and intergenic regions highlights the repertoire of cancer genes and mutational processes operative, and progresses towards a comprehensive account of the somatic genetic basis of breast cancer.
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The landscape of cancer genes and mutational processes in breast cancer

Philip J. Stephens, +69 more
- 21 Jun 2012 - 
TL;DR: Strong correlations between mutation number, age at which cancer was diagnosed and cancer histological grade are found, and multiple mutational signatures are observed, including one present in about ten per cent of tumours characterized by numerous mutations of cytosine at TpC dinucleotides.
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Pan-cancer analysis of whole genomes

Peter J. Campbell, +1332 more
- 06 Feb 2020 - 
TL;DR: The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.