David Beare
Wellcome Trust Sanger Institute
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Featured researches published by David Beare.
Nucleic Acids Research | 2011
Simon A. Forbes; Nidhi Bindal; Sally Bamford; Charlotte G. Cole; Chai Yin Kok; David Beare; Mingming Jia; Rebecca Shepherd; Kenric Leung; Andrew Menzies; Jon W. Teague; Peter J. Campbell; Michael R. Stratton; P. Andrew Futreal
COSMIC (http://www.sanger.ac.uk/cosmic) curates comprehensive information on somatic mutations in human cancer. Release v48 (July 2010) describes over 136 000 coding mutations in almost 542 000 tumour samples; of the 18 490 genes documented, 4803 (26%) have one or more mutations. Full scientific literature curations are available on 83 major cancer genes and 49 fusion gene pairs (19 new cancer genes and 30 new fusion pairs this year) and this number is continually increasing. Key amongst these is TP53, now available through a collaboration with the IARC p53 database. In addition to data from the Cancer Genome Project (CGP) at the Sanger Institute, UK, and The Cancer Genome Atlas project (TCGA), large systematic screens are also now curated. Major website upgrades now make these data much more mineable, with many new selection filters and graphics. A Biomart is now available allowing more automated data mining and integration with other biological databases. Annotation of genomic features has become a significant focus; COSMIC has begun curating full-genome resequencing experiments, developing new web pages, export formats and graphics styles. With all genomic information recently updated to GRCh37, COSMIC integrates many diverse types of mutation information and is making much closer links with Ensembl and other data resources.
Cell | 2011
Philip Stephens; Christopher Greenman; Beiyuan Fu; Fengtang Yang; Graham R. Bignell; Laura Mudie; Erin Pleasance; King Wai Lau; David Beare; Lucy Stebbings; Stuart McLaren; Meng-Lay Lin; David J. McBride; Ignacio Varela; Serena Nik-Zainal; Catherine Leroy; Mingming Jia; Andrew Menzies; Adam Butler; Jon Teague; Michael A. Quail; John Burton; Harold Swerdlow; Nigel P. Carter; Laura A. Morsberger; Christine A. Iacobuzio-Donahue; George A. Follows; Anthony R. Green; Adrienne M. Flanagan; Michael R. Stratton
Summary Cancer is driven by somatically acquired point mutations and chromosomal rearrangements, conventionally thought to accumulate gradually over time. Using next-generation sequencing, we characterize a phenomenon, which we term chromothripsis, whereby tens to hundreds of genomic rearrangements occur in a one-off cellular crisis. Rearrangements involving one or a few chromosomes crisscross back and forth across involved regions, generating frequent oscillations between two copy number states. These genomic hallmarks are highly improbable if rearrangements accumulate over time and instead imply that nearly all occur during a single cellular catastrophe. The stamp of chromothripsis can be seen in at least 2%–3% of all cancers, across many subtypes, and is present in ∼25% of bone cancers. We find that one, or indeed more than one, cancer-causing lesion can emerge out of the genomic crisis. This phenomenon has important implications for the origins of genomic remodeling and temporal emergence of cancer. PaperClip
Nucleic Acids Research | 2015
Simon A. Forbes; David Beare; Prasad Gunasekaran; Kenric Leung; Nidhi Bindal; Harry Boutselakis; Minjie Ding; Sally Bamford; Charlotte G. Cole; Sari Ward; Chai Yin Kok; Mingming Jia; Tisham De; Jon W. Teague; Michael R. Stratton; Ultan McDermott; Peter J. Campbell
COSMIC, the Catalogue Of Somatic Mutations In Cancer (http://cancer.sanger.ac.uk) is the worlds largest and most comprehensive resource for exploring the impact of somatic mutations in human cancer. Our latest release (v70; Aug 2014) describes 2 002 811 coding point mutations in over one million tumor samples and across most human genes. To emphasize depth of knowledge on known cancer genes, mutation information is curated manually from the scientific literature, allowing very precise definitions of disease types and patient details. Combination of almost 20 000 published studies gives substantial resolution of how mutations and phenotypes relate in human cancer, providing insights into the stratification of mutations and biomarkers across cancer patient populations. Conversely, our curation of cancer genomes (over 12 000) emphasizes knowledge breadth, driving discovery of unrecognized cancer-driving hotspots and molecular targets. Our high-resolution curation approach is globally unique, giving substantial insight into molecular biomarkers in human oncology. In addition, COSMIC also details more than six million noncoding mutations, 10 534 gene fusions, 61 299 genome rearrangements, 695 504 abnormal copy number segments and 60 119 787 abnormal expression variants. All these types of somatic mutation are annotated to both the human genome and each affected coding gene, then correlated across disease and mutation types.
Nature | 2010
Erin Pleasance; R. Keira Cheetham; Philip Stephens; David J. McBride; Sean Humphray; Christopher Greenman; Ignacio Varela; Meng-Lay Lin; Gonzalo R. Ordóñez; Graham R. Bignell; Kai Ye; Julie A Alipaz; Markus J. Bauer; David Beare; Adam Butler; Richard J. Carter; Lina Chen; Anthony J. Cox; Sarah Edkins; Paula Kokko-Gonzales; Niall Anthony Gormley; Russell Grocock; Christian D. Haudenschild; Matthew M. Hims; Terena James; Mingming Jia; Zoya Kingsbury; Catherine Leroy; John Marshall; Andrew Menzies
All cancers carry somatic mutations. A subset of these somatic alterations, termed driver mutations, confer selective growth advantage and are implicated in cancer development, whereas the remainder are passengers. Here we have sequenced the genomes of a malignant melanoma and a lymphoblastoid cell line from the same person, providing the first comprehensive catalogue of somatic mutations from an individual cancer. The catalogue provides remarkable insights into the forces that have shaped this cancer genome. The dominant mutational signature reflects DNA damage due to ultraviolet light exposure, a known risk factor for malignant melanoma, whereas the uneven distribution of mutations across the genome, with a lower prevalence in gene footprints, indicates that DNA repair has been preferentially deployed towards transcribed regions. The results illustrate the power of a cancer genome sequence to reveal traces of the DNA damage, repair, mutation and selection processes that were operative years before the cancer became symptomatic.
Nature | 2012
Philip Stephens; Patrick Tarpey; Helen Davies; Peter Van Loo; Christopher Greenman; David C. Wedge; Serena Nik-Zainal; Sancha Martin; Ignacio Varela; Graham R. Bignell; Lucy R. Yates; Elli Papaemmanuil; David Beare; Adam Butler; Angela Cheverton; John Gamble; Jonathan Hinton; Mingming Jia; Alagu Jayakumar; David Jones; Calli Latimer; King Wai Lau; Stuart McLaren; David J. McBride; Andrew Menzies; Laura Mudie; Keiran Raine; Roland Rad; Michael Spencer Chapman; Jon W. Teague
All cancers carry somatic mutations in their genomes. A subset, known as driver mutations, confer clonal selective advantage on cancer cells and are causally implicated in oncogenesis, and the remainder are passenger mutations. The driver mutations and mutational processes operative in breast cancer have not yet been comprehensively explored. Here we examine the genomes of 100 tumours for somatic copy number changes and mutations in the coding exons of protein-coding genes. The number of somatic mutations varied markedly between individual tumours. We found strong correlations between mutation number, age at which cancer was diagnosed and cancer histological grade, and observed multiple mutational signatures, including one present in about ten per cent of tumours characterized by numerous mutations of cytosine at TpC dinucleotides. Driver mutations were identified in several new cancer genes including AKT2, ARID1B, CASP8, CDKN1B, MAP3K1, MAP3K13, NCOR1, SMARCD1 and TBX3. Among the 100 tumours, we found driver mutations in at least 40 cancer genes and 73 different combinations of mutated cancer genes. The results highlight the substantial genetic diversity underlying this common disease.
Nature | 2010
Erin Pleasance; Philip Stephens; Sarah O’Meara; David J. McBride; Alison Meynert; David Jones; Meng-Lay Lin; David Beare; King Wai Lau; Christopher Greenman; Ignacio Varela; Serena Nik-Zainal; Helen Davies; Gonzalo R. Ordóñez; Laura Mudie; Calli Latimer; Sarah Edkins; Lucy Stebbings; Lina Chen; Mingming Jia; Catherine Leroy; John Marshall; Andrew Menzies; Adam Butler; Jon Teague; Jonathon Mangion; Yongming A. Sun; Stephen F. McLaughlin; Heather E. Peckham; Eric F. Tsung
Cancer is driven by mutation. Worldwide, tobacco smoking is the principal lifestyle exposure that causes cancer, exerting carcinogenicity through >60 chemicals that bind and mutate DNA. Using massively parallel sequencing technology, we sequenced a small-cell lung cancer cell line, NCI-H209, to explore the mutational burden associated with tobacco smoking. A total of 22,910 somatic substitutions were identified, including 134 in coding exons. Multiple mutation signatures testify to the cocktail of carcinogens in tobacco smoke and their proclivities for particular bases and surrounding sequence context. Effects of transcription-coupled repair and a second, more general, expression-linked repair pathway were evident. We identified a tandem duplication that duplicates exons 3–8 of CHD7 in frame, and another two lines carrying PVT1–CHD7 fusion genes, indicating that CHD7 may be recurrently rearranged in this disease. These findings illustrate the potential for next-generation sequencing to provide unprecedented insights into mutational processes, cellular repair pathways and gene networks associated with cancer.SUMMARY Cancer is driven by mutation. Worldwide, tobacco smoking is the major lifestyle exposure that causes cancer, exerting carcinogenicity through >60 chemicals that bind and mutate DNA. Using massively parallel sequencing technology, we sequenced a small cell lung cancer cell line, NCI-H209, to explore the mutational burden associated with tobacco smoking. 22,910 somatic substitutions were identified, including 132 in coding exons. Multiple mutation signatures testify to the cocktail of carcinogens in tobacco smoke and their proclivities for particular bases and surrounding sequence context. Effects of transcription-coupled repair and a second, more general expression-linked repair pathway were evident. We identified a tandem duplication that duplicates exons 3-8 of CHD7 in-frame, and another two lines carrying PVT1-CHD7 fusion genes, suggesting that CHD7 may be recurrently rearranged in this disease. These findings illustrate the potential for next-generation sequencing to provide unprecedented insights into mutational processes, cellular repair pathways and gene networks associated with cancer.
Nature | 2010
Graham R. Bignell; Christopher Greenman; Helen Davies; Adam Butler; Sarah Edkins; Jenny Andrews; Gemma Buck; Lina Chen; David Beare; Calli Latimer; Sara Widaa; Jonathon Hinton; Ciara Fahey; Beiyuan Fu; Sajani Swamy; Gillian L. Dalgliesh; Bin Tean Teh; Panos Deloukas; Fengtang Yang; Peter J. Campbell; P. Andrew Futreal; Michael R. Stratton
The cancer genome is moulded by the dual processes of somatic mutation and selection. Homozygous deletions in cancer genomes occur over recessive cancer genes, where they can confer selective growth advantage, and over fragile sites, where they are thought to reflect an increased local rate of DNA breakage. However, most homozygous deletions in cancer genomes are unexplained. Here we identified 2,428 somatic homozygous deletions in 746 cancer cell lines. These overlie 11% of protein-coding genes that, therefore, are not mandatory for survival of human cells. We derived structural signatures that distinguish between homozygous deletions over recessive cancer genes and fragile sites. Application to clusters of unexplained homozygous deletions suggests that many are in regions of inherent fragility, whereas a small subset overlies recessive cancer genes. The results illustrate how structural signatures can be used to distinguish between the influences of mutation and selection in cancer genomes. The extensive copy number, genotyping, sequence and expression data available for this large series of publicly available cancer cell lines renders them informative reagents for future studies of cancer biology and drug discovery.
Nucleic Acids Research | 2017
Simon A. Forbes; David Beare; Harry Boutselakis; Sally Bamford; Nidhi Bindal; John G. Tate; Charlotte G. Cole; Sari Ward; Elisabeth Dawson; Laura Ponting; Raymund Stefancsik; Bhavana Harsha; Chai Yin Kok; Mingming Jia; Harry C. Jubb; Zbyslaw Sondka; Sam Thompson; Tisham De; Peter J. Campbell
COSMIC, the Catalogue of Somatic Mutations in Cancer (http://cancer.sanger.ac.uk) is a high-resolution resource for exploring targets and trends in the genetics of human cancer. Currently the broadest database of mutations in cancer, the information in COSMIC is curated by expert scientists, primarily by scrutinizing large numbers of scientific publications. Over 4 million coding mutations are described in v78 (September 2016), combining genome-wide sequencing results from 28 366 tumours with complete manual curation of 23 489 individual publications focused on 186 key genes and 286 key fusion pairs across all cancers. Molecular profiling of large tumour numbers has also allowed the annotation of more than 13 million non-coding mutations, 18 029 gene fusions, 187 429 genome rearrangements, 1 271 436 abnormal copy number segments, 9 175 462 abnormal expression variants and 7 879 142 differentially methylated CpG dinucleotides. COSMIC now details the genetics of drug resistance, novel somatic gene mutations which allow a tumour to evade therapeutic cancer drugs. Focusing initially on highly characterized drugs and genes, COSMIC v78 contains wide resistance mutation profiles across 20 drugs, detailing the recurrence of 301 unique resistance alleles across 1934 drug-resistant tumours. All information from the COSMIC database is available freely on the COSMIC website.
Nature Genetics | 2013
Patrick Tarpey; Sam Behjati; Susanna L. Cooke; Peter Van Loo; David C. Wedge; Nischalan Pillay; John Marshall; Sarah O'Meara; Helen Davies; Serena Nik-Zainal; David Beare; Adam Butler; John Gamble; Claire Hardy; Jonathon Hinton; Ming Ming Jia; Alagu Jayakumar; David Jones; Calli Latimer; Mark Maddison; Sancha Martin; Stuart McLaren; Andrew Menzies; Laura Mudie; Keiran Raine; Jon Teague; Jose M. C. Tubio; Dina Halai; Roberto Tirabosco; Fernanda Amary
Chondrosarcoma is a heterogeneous collection of malignant bone tumors and is the second most common primary malignancy of bone after osteosarcoma. Recent work has identified frequent, recurrent mutations in IDH1 or IDH2 in nearly half of central chondrosarcomas. However, there has been little systematic genomic analysis of this tumor type, and, thus, the contribution of other genes is unclear. Here we report comprehensive genomic analyses of 49 individuals with chondrosarcoma (cases). We identified hypermutability of the major cartilage collagen gene COL2A1, with insertions, deletions and rearrangements identified in 37% of cases. The patterns of mutation were consistent with selection for variants likely to impair normal collagen biosynthesis. In addition, we identified mutations in IDH1 or IDH2 (59%), TP53 (20%), the RB1 pathway (33%) and Hedgehog signaling (18%).
Cell Cycle | 2005
Kathryn Woodfine; David Beare; Koichi Ichimura; Silvana Debernardi; Andrew J. Mungall; Heike Fiegler; V. Peter Collins; Nigel P. Carter; Ian Dunham
Genomic microarrays have been used to assess DNA replication timing in a variety of eukaryotic organisms1-3. A replication timing map of the human genome has already been published at a 1Mb resolution3. Here we describe how the same method can be used to assess the replication timing of chromosome 6 with a greater resolution using an array of overlapping tile path clones. We report the replication timing map of the whole of chromosome 6 in general, and the MHC region in particular. Positive correlations are observed between replication timing and a number of genomic features including GC content, repeat content and transcriptional activity.