Douglas F. Easton
University of Cambridge
923 Papers
9.4K Citations
Douglas F. Easton is an academic researcher from University of Cambridge. The author has contributed to research in topics: Breast cancer & Cancer. The author has an hindex of 165, co-authored 844 publications. Previous affiliations of Douglas F. Easton include University of Southern California & McGill University.
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Papers
Ovarian cancer risk in BRCA1 carriers is modified by the HRAS1 variable number of tandem repeat (VNTR) locus
Catherine M. Phelan,Catherine M. Phelan,Timothy R. Rebbeck,Barbara L. Weber,Peter Devilee,Martin H. Ruttledge,Henry T. Lynch,Gilbert M. Lenoir,Michael R. Stratton,Douglas F. Easton,Bruce A.J. Ponder,Lisa A. Cannon-Albright,Catharina Larsson,David E. Goldgar,Steven A. Narod,Steven A. Narod +15 more
TL;DR: This study is the first to show the effect of a modifying gene on the penetrance of an inherited cancer syndrome, and whether the presence of rare HRAS1 alleles increases susceptibility to hereditary breast and ovarian cancer.
218
Predicting the likelihood of carrying a BRCA1 or BRCA2 mutation: validation of BOADICEA, BRCAPRO, IBIS, Myriad and the Manchester scoring system using data from UK genetics clinics.
Antonis C. Antoniou,Rachel Hardy,Leslie G. Walker,D G R Evans,A Shenton,Rosalind A. Eeles,Susan Shanley,Gabriella Pichert,Louise Izatt,S. Rose,Fiona Douglas,Diana Eccles,Patrick J. Morrison,J. Scott,R.L. Zimmern,Douglas F. Easton,Pharoah Pd +16 more
TL;DR: Carrier prediction algorithms provide a rational basis for counselling individuals likely to carry BRCA1 or BRCa2 mutations and their widespread use would improve equity of access and the cost-effectiveness of genetic testing.
215
The Contributions of Breast Density and Common Genetic Variation to Breast Cancer Risk
Celine M. Vachon,V. Shane Pankratz,Christopher G. Scott,Lothar Haeberle,Elad Ziv,Matthew R. Jensen,Kathleen R. Brandt,Dana H. Whaley,Janet E. Olson,Katharina Heusinger,Carolin C. Hack,Sebastian M. Jud,Matthias W. Beckmann,Ruediger Schulz-Wendtland,Jeffrey A. Tice,Aaron D. Norman,Julie M. Cunningham,Kristen S. Purrington,Douglas F. Easton,Thomas A. Sellers,Karla Kerlikowske,Peter A. Fasching,Peter A. Fasching,Fergus J. Couch +23 more
TL;DR: Although the BCSC-PRS model was well calibrated in case-control data, independent cohort data are needed to test calibration in the general population, as well as to compare five-year absolute risk predictions between models using area under the curve (AUC) statistics.
Risk models for familial ovarian and breast cancer.
TL;DR: BRCA1 and BRCA2 may be sufficient to explain the majority of familial ovarian cancer and that families without mutations can be explained by sensitivity of mutation testing and chance clusters of sporadic cases.
204
Statistical analysis of pathogenicity of somatic mutations in cancer.
Christopher Greenman,Richard Wooster,P. Andrew Futreal,Michael R. Stratton,Douglas F. Easton +4 more
TL;DR: Tests to examine the significance of selection toward missense, nonsense, and splice site mutations are derived, along with tests assessing variation in selection between functional domains, and maximum-likelihood methods facilitate parameter estimation.
202