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Dive into the research topics where Cyril Chapman is active.

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Featured researches published by Cyril Chapman.


Nature Genetics | 2011

Germline mutations in RAD51D confer susceptibility to ovarian cancer

Chey Loveday; Clare Turnbull; Emma Ramsay; Deborah Hughes; Elise Ruark; Jessica Frankum; Georgina Bowden; Bolot Kalmyrzaev; Margaret Warren-Perry; Katie Snape; Julian Adlard; Julian Barwell; Jonathan Berg; Angela F. Brady; Carole Brewer; G Brice; Cyril Chapman; Jackie Cook; Rosemarie Davidson; Alan Donaldson; Fiona Douglas; Lynn Greenhalgh; Alex Henderson; Louise Izatt; Ajith Kumar; Fiona Lalloo; Zosia Miedzybrodzka; Patrick J. Morrison; Joan Paterson; Mary Porteous

Recently, RAD51C mutations were identified in families with breast and ovarian cancer. This observation prompted us to investigate the role of RAD51D in cancer susceptibility. We identified eight inactivating RAD51D mutations in unrelated individuals from 911 breast-ovarian cancer families compared with one inactivating mutation identified in 1,060 controls (P = 0.01). The association found here was principally with ovarian cancer, with three mutations identified in the 59 pedigrees with three or more individuals with ovarian cancer (P = 0.0005). The relative risk of ovarian cancer for RAD51D mutation carriers was estimated to be 6.30 (95% CI 2.86–13.85, P = 4.8 × 10−6). By contrast, we estimated the relative risk of breast cancer to be 1.32 (95% CI 0.59–2.96, P = 0.50). These data indicate that RAD51D mutation testing may have clinical utility in individuals with ovarian cancer and their families. Moreover, we show that cells deficient in RAD51D are sensitive to treatment with a PARP inhibitor, suggesting a possible therapeutic approach for cancers arising in RAD51D mutation carriers.


Nature | 2012

Mosaic PPM1D mutations are associated with predisposition to breast and ovarian cancer

Elise Ruark; Katie Snape; Peter Humburg; Chey Loveday; Ilirjana Bajrami; Rachel Brough; Daniel Nava Rodrigues; Anthony Renwick; Sheila Seal; Emma Ramsay; Silvana Del Vecchio Duarte; Manuel A. Rivas; Margaret Warren-Perry; Anna Zachariou; Adriana Campion-Flora; Sandra Hanks; Anne Murray; Naser Ansari Pour; Jenny Douglas; Lorna Gregory; Andrew J. Rimmer; Neil Walker; Tsun-Po Yang; Julian Adlard; Julian Barwell; Jonathan Berg; Angela F. Brady; Carole Brewer; G Brice; Cyril Chapman

Improved sequencing technologies offer unprecedented opportunities for investigating the role of rare genetic variation in common disease. However, there are considerable challenges with respect to study design, data analysis and replication. Using pooled next-generation sequencing of 507 genes implicated in the repair of DNA in 1,150 samples, an analytical strategy focused on protein-truncating variants (PTVs) and a large-scale sequencing case–control replication experiment in 13,642 individuals, here we show that rare PTVs in the p53-inducible protein phosphatase PPM1D are associated with predisposition to breast cancer and ovarian cancer. PPM1D PTV mutations were present in 25 out of 7,781 cases versus 1 out of 5,861 controls (P = 1.12 × 10−5), including 18 mutations in 6,912 individuals with breast cancer (P = 2.42 × 10−4) and 12 mutations in 1,121 individuals with ovarian cancer (P = 3.10 × 10−9). Notably, all of the identified PPM1D PTVs were mosaic in lymphocyte DNA and clustered within a 370-base-pair region in the final exon of the gene, carboxy-terminal to the phosphatase catalytic domain. Functional studies demonstrate that the mutations result in enhanced suppression of p53 in response to ionizing radiation exposure, suggesting that the mutant alleles encode hyperactive PPM1D isoforms. Thus, although the mutations cause premature protein truncation, they do not result in the simple loss-of-function effect typically associated with this class of variant, but instead probably have a gain-of-function effect. Our results have implications for the detection and management of breast and ovarian cancer risk. More generally, these data provide new insights into the role of rare and of mosaic genetic variants in common conditions, and the use of sequencing in their identification.


Journal of the National Cancer Institute | 2015

Cost-effectiveness of Population Screening for BRCA Mutations in Ashkenazi Jewish Women Compared With Family History–Based Testing

Ranjit Manchanda; Rosa Legood; Matthew Burnell; Alistair McGuire; Maria Raikou; Kelly Loggenberg; Jane Wardle; Saskia C. Sanderson; Sue Gessler; Lucy Side; Nyala Balogun; Rakshit Desai; Ajith Kumar; Huw Dorkins; Yvonne Wallis; Cyril Chapman; Rohan Taylor; Chris Jacobs; Ian Tomlinson; Uziel Beller; Usha Menon; Ian Jacobs

Background: Population-based testing for BRCA1/2 mutations detects the high proportion of carriers not identified by cancer family history (FH)–based testing. We compared the cost-effectiveness of population-based BRCA testing with the standard FH-based approach in Ashkenazi Jewish (AJ) women. Methods: A decision-analytic model was developed to compare lifetime costs and effects amongst AJ women in the UK of BRCA founder-mutation testing amongst: 1) all women in the population age 30 years or older and 2) just those with a strong FH (≥10% mutation risk). The model assumes that BRCA carriers are offered risk-reducing salpingo-oophorectomy and annual MRI/mammography screening or risk-reducing mastectomy. Model probabilities utilize the Genetic Cancer Prediction through Population Screening trial/published literature to estimate total costs, effects in terms of quality-adjusted life-years (QALYs), cancer incidence, incremental cost-effectiveness ratio (ICER), and population impact. Costs are reported at 2010 prices. Costs/outcomes were discounted at 3.5%. We used deterministic/probabilistic sensitivity analysis (PSA) to evaluate model uncertainty. Results: Compared with FH-based testing, population-screening saved 0.090 more life-years and 0.101 more QALYs resulting in 33 days’ gain in life expectancy. Population screening was found to be cost saving with a baseline-discounted ICER of -£2079/QALY. Population-based screening lowered ovarian and breast cancer incidence by 0.34% and 0.62%. Assuming 71% testing uptake, this leads to 276 fewer ovarian and 508 fewer breast cancer cases. Overall, reduction in treatment costs led to a discounted cost savings of £3.7 million. Deterministic sensitivity analysis and 94% of simulations on PSA (threshold £20000) indicated that population screening is cost-effective, compared with current NHS policy. Conclusion: Population-based screening for BRCA mutations is highly cost-effective compared with an FH-based approach in AJ women age 30 years and older.


Journal of the National Cancer Institute | 2015

Population Testing for Cancer Predisposing BRCA1/BRCA2 Mutations in the Ashkenazi-Jewish Community: A Randomized Controlled Trial

Ranjit Manchanda; Kelly Loggenberg; Saskia C. Sanderson; Matthew Burnell; Jane Wardle; Sue Gessler; Lucy Side; Nyala Balogun; Rakshit Desai; Ajith Kumar; Huw Dorkins; Yvonne Wallis; Cyril Chapman; Rohan Taylor; Chris Jacobs; Ian Tomlinson; Alistair McGuire; Uziel Beller; Usha Menon; Ian Jacobs

Background: Technological advances raise the possibility of systematic population-based genetic testing for cancer-predisposing mutations, but it is uncertain whether benefits outweigh disadvantages. We directly compared the psychological/quality-of-life consequences of such an approach to family history (FH)–based testing. Methods: In a randomized controlled trial of BRCA1/2 gene-mutation testing in the Ashkenazi Jewish (AJ) population, we compared testing all participants in the population screening (PS) arm with testing those fulfilling standard FH-based clinical criteria (FH arm). Following a targeted community campaign, AJ participants older than 18 years were recruited by self-referral after pretest genetic counseling. The effects of BRCA1/2 genetic testing on acceptability, psychological impact, and quality-of-life measures were assessed by random effects regression analysis. All statistical tests were two-sided. Results: One thousand, one hundred sixty-eight AJ individuals were counseled, 1042 consented, 1034 were randomly assigned (691 women, 343 men), and 1017 were eligible for analysis. Mean age was 54.3 (SD = 14.66) years. Thirteen BRCA1/2 carriers were identified in the PS arm, nine in the FH arm. Five more carriers were detected among FH-negative FH-arm participants following study completion. There were no statistically significant differences between the FH and PS arms at seven days or three months on measures of anxiety, depression, health anxiety, distress, uncertainty, and quality-of-life. Contrast tests indicated that overall anxiety (P = .0001) and uncertainty (P = .005) associated with genetic testing decreased; positive experience scores increased (P = .0001); quality-of-life and health anxiety did not change with time. Overall, 56% of carriers did not fulfill clinical criteria for genetic testing, and the BRCA1/2 prevalence was 2.45%. Conclusion: Compared with FH-based testing, population-based genetic testing in Ashkenazi Jews doesn’t adversely affect short-term psychological/quality-of-life outcomes and may detect 56% additional BRCA carriers.


Human Molecular Genetics | 2012

Gene-gene interactions in breast cancer susceptibility

Clare Turnbull; Sheila Seal; Anthony Renwick; Margaret Warren-Perry; Deborah Hughes; Anna Elliott; David Pernet; Susan Peock; Julian Adlard; Julian Barwell; Jonathan Berg; Angela F. Brady; Carole Brewer; G Brice; Cyril Chapman; Jackie Cook; Rosemarie Davidson; Alan Donaldson; Fiona Douglas; Lynn Greenhalgh; Alex Henderson; Louise Izatt; Ajith Kumar; Fiona Lalloo; Zosia Miedzybrodzka; Patrick J. Morrison; Joan Paterson; Mary Porteous; Mark T. Rogers; Susan Shanley

There have been few definitive examples of gene-gene interactions in humans. Through mutational analyses in 7325 individuals, we report four interactions (defined as departures from a multiplicative model) between mutations in the breast cancer susceptibility genes ATM and CHEK2 with BRCA1 and BRCA2 (case-only interaction between ATM and BRCA1/BRCA2 combined, P = 5.9 × 10(-4); ATM and BRCA1, P= 0.01; ATM and BRCA2, P= 0.02; CHEK2 and BRCA1/BRCA2 combined, P = 2.1 × 10(-4); CHEK2 and BRCA1, P= 0.01; CHEK2 and BRCA2, P= 0.01). The interactions are such that the resultant risk of breast cancer is lower than the multiplicative product of the constituent risks, and plausibly reflect the functional relationships of the encoded proteins in DNA repair. These findings have important implications for models of disease predisposition and clinical translation.


Journal of Medical Genetics | 2016

Cluster-randomised non-inferiority trial comparing DVD-assisted and traditional genetic counselling in systematic population testing for BRCA1/2 mutations

Ranjit Manchanda; Matthew Burnell; Kelly Loggenberg; Rakshit Desai; Jane Wardle; Saskia C. Sanderson; Sue Gessler; Lucy Side; Nyala Balogun; Ajith Kumar; Huw Dorkins; Yvonne Wallis; Cyril Chapman; Ian Tomlinson; Rohan Taylor; Chris Jacobs; Rosa Legood; Maria Raikou; Alistair McGuire; Uziel Beller; Usha Menon; Ian Jacobs

Background Newer approaches to genetic counselling are required for population-based testing. We compare traditional face-to-face genetic counselling with a DVD-assisted approach for population-based BRCA1/2 testing. Methods A cluster-randomised non-inferiority trial in the London Ashkenazi Jewish population. Inclusion criteria Ashkenazi Jewish men/women >18 years; exclusion criteria: (a) known BRCA1/2 mutation, (b) previous BRCA1/2 testing and (c) first-degree relative of BRCA1/2 carrier. Ashkenazi Jewish men/women underwent pre-test genetic counselling prior to BRCA1/2 testing in the Genetic Cancer Prediction through Population Screening trial (ISRCTN73338115). Genetic counselling clinics (clusters) were randomised to traditional counselling (TC) and DVD-based counselling (DVD-C) approaches. DVD-C involved a DVD presentation followed by shorter face-to-face genetic counselling. Outcome measures included genetic testing uptake, cancer risk perception, increase in knowledge, counselling time and satisfaction (Genetic Counselling Satisfaction Scale). Random-effects models adjusted for covariates compared outcomes between TC and DVD-C groups. One-sided 97.5% CI was used to determine non-inferiority. Secondary outcomes: relevance, satisfaction, adequacy, emotional impact and improved understanding with the DVD; cost-minimisation analysis for TC and DVD-C approaches. Results 936 individuals (clusters=256, mean-size=3.6) were randomised to TC (n=527, clusters=134) and DVD-C (n=409, clusters=122) approaches. Groups were similar at baseline, mean age=53.9 (SD=15) years, women=66.8%, men=33.2%. DVD-C was non-inferior to TC for increase in knowledge (d=−0.07; lower 97.5% CI=−0.41), counselling satisfaction (d=−0.38, 97.5% CI=1.2) and risk perception (d=0.08; upper 97.5% CI=3.1). Group differences and CIs did not cross non-inferiority margins. DVD-C was equivalent to TC for uptake of genetic testing (d=−3%; lower/upper 97.5% CI −7.9%/1.7%) and superior for counselling time (20.4 (CI 18.7 to 22.2) min reduction (p<0.005)). 98% people found the DVD length and information satisfactory. 85–89% felt it improved their understanding of risks/benefits/implications/purpose of genetic testing. 95% would recommend it to others. The cost of genetic counselling for DVD-C=£7787 and TC=£17 307. DVD-C resulted in cost savings=£9520 (£14/volunteer). Conclusions DVD-C is an effective, acceptable, non-inferior, time-saving and cost-efficient alternative to TC. Trial registration number ISRCTN 73338115.


PubMed | 2012

Gene-gene interactions in breast cancer susceptibility.

Clare Turnbull; Sheila Seal; Anthony Renwick; Margaret Warren-Perry; Deborah Hughes; Anna Elliott; David Pernet; Susan Peock; J. Adlard; Julian Barwell; Jonathan Berg; Angela F. Brady; Carole Brewer; G Brice; Cyril Chapman; J. Cook; Rosemarie Davidson; Alan Donaldson; F. Douglas; Lynn Greenhalgh; Alex Henderson; Louise Izatt; Ajith Kumar; Fiona Lalloo; Zosia Miedzybrodzka; Patrick Morrison; Joan Paterson; Mary Porteous; Mark T. Rogers; Susan Shanley

There have been few definitive examples of gene-gene interactions in humans. Through mutational analyses in 7325 individuals, we report four interactions (defined as departures from a multiplicative model) between mutations in the breast cancer susceptibility genes ATM and CHEK2 with BRCA1 and BRCA2 (case-only interaction between ATM and BRCA1/BRCA2 combined, P = 5.9 × 10(-4); ATM and BRCA1, P= 0.01; ATM and BRCA2, P= 0.02; CHEK2 and BRCA1/BRCA2 combined, P = 2.1 × 10(-4); CHEK2 and BRCA1, P= 0.01; CHEK2 and BRCA2, P= 0.01). The interactions are such that the resultant risk of breast cancer is lower than the multiplicative product of the constituent risks, and plausibly reflect the functional relationships of the encoded proteins in DNA repair. These findings have important implications for models of disease predisposition and clinical translation.


publisher | None

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Presented at: UNSPECIFIED. (2015) | 2015

A NON-INFERIORITY CLUSTER RANDOMISED TRIAL COMPARING TRADITIONAL FACE-TO-FACE AND DVD-BASED GENETIC COUNSELLING IN SYSTEMATIC POPULATION BASED BRCA1/2 TESTING

Ranjit Manchanda; Kelly Loggenberg; Matthew Burnell; Jane Wardle; Saskia C. Sanderson; Sue Gessler; Lucy Side; Nyala Balogun; Rakshit Desai; Ajith Kumar; Huw Dorkins; Yvonne Wallis; Cyril Chapman; Ian Tomlinson; Rohan Taylor; Chris Jacobs; Alistair McGuire; Uziel Beller; Usha Menon; Ian Jacobs


Presented at: UNSPECIFIED. (2014) | 2014

POPULATION-BASED TESTING FOR BRCA MUTATIONS (COMPARED TO FAMILY-HISTORY BASED TESTING) MAY BE COST SAVING IN ASHKENAZI-JEWS: A HEALTH-ECONOMICS DECISION ANALYTICAL MODEL

Ranjit Manchanda; Rosa Legood; Matthew Burnell; Alistair McGuire; Kelly Loggenberg; Jane Wardle; Saskia C. Sanderson; Sue Gessler; Lucy Side; Nyala Balogun; Rakshit Desai; Ajith Kumar; Huw Dorkins; Yvonne Wallis; Cyril Chapman; Rohan Taylor; Chris Jacobs; Uziel Beller; Usha Menon; Ian Jacobs

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Ajith Kumar

Great Ormond Street Hospital

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Alistair McGuire

London School of Economics and Political Science

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Carole Brewer

Royal Devon and Exeter Hospital

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Chris Jacobs

Guy's and St Thomas' NHS Foundation Trust

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Huw Dorkins

Northwick Park Hospital

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Jane Wardle

University College London

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