Professor of Genetic Epidemiology
Tel. +44 (0)1223 748629
Professor Douglas Easton is currently Director of the Centre for Cancer Genetic Epidemiology within the Department of Public Health and Primary Care. He studied Mathematical Statistics at the University of Cambridge before gaining a PhD in Genetic Epidemiology at the University of London in 1992. In 1995 he set up the Cancer Research UK Genetic Epidemiology Unit at Cambridge, where he was a CRUK Principal Research Fellow from 2001-2011. He was awarded Professorship of Genetic Epidemiology in 2003.
The main research interest of the Centre is in genetic susceptibility to common cancers and the aim of Professor Easton’s research group is to identify and characterise genetic variants associated with cancer risk, with particular emphasis on the hormone related cancers. Much of their recent work has focused on the analysis of genome-wide association studies (GWAS) to characterise common susceptibility variants, and the characterisation of susceptibility loci through fine-mapping. The group has conducted GWAS in breast cancer, prostate, endometrial and testis cancer. Prof Easton’s group also co-ordinates three large international consortia: the Breast Cancer Association Consortium (BCAC), Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL) a collaboration with Professor Ros Eeles (team leader at ICR, London) and, in collaboration with Dr Antoniou and Dr Georgia Chenevix-Trench (head of Cancer Genetics at QIMR Medical Research Institute, Queensland, Australia), the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). Professor Easton’s current work includes evaluating the role of rarer variants in breast and prostate cancer, and susceptibility to cancer-related traits including breast density, steroid hormones and telomere length.
For a number of years Professor Easton has lectured for part of the MPhil in Epidemiology and currently mentors for PhD students. He also lectures for part of the Natural Sciences Tripos Biochemistry Course in the Department of Biochemistry.
Lee, A., et al… (2016) Incorporating Truncating Variants in PALB2, CHEK2 and ATM into the BOADICEA Breast Cancer Risk Model. Genetics In Medicine net Med. 2016 Apr 14. 2016 Dec;18(12):1190-1198. Pubmed ID: 27464310
Dunning A., et al … (2016) Breast cancer risk variants at 6q25 display different phenotype associations and regulate ESR1, RMND1 and CCDC170, Nature Genetics 48(4):374-86 PubMed ID: 26928228
Easton, D.F., et al… (2015) Gene-Panel Sequencing and the Prediction of Breast-Cancer Risk. N Engl J Med Jun 4;372(23):2243-57 PubMed ID: 26014596
Mavaddat N, et al… (2015) Prediction of breast cancer risk based on profiling with common genetic variants. J Natl Cancer Inst. Apr 8;107(5) PubMed ID 25855707
Michailidou K, et al…Easton DF (2015) Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer. Nat Genet. 2015;47(4):373-80. PubMed ID: 25751625
Milne RL, et al …Easton DF (2014) A large-scale assessment of two-way SNP interactions in breast cancer susceptibility using 46 450 cases and 42 461 controls from the breast cancer association consortium. Hum Mol Genet 23 (7): 1934-1946 PubMed ID: 24242184
Mavaddat N, et all…Easton DF (2013) Cancer Risks for BRCA1 and BRCA2 Mutation Carriers: Results From Prospective Analysis of EMBRACE. J Natl Cancer Inst 105 (11): 812-822 PubMed ID: 23628597
Michailidou K, et al …Easton DF (2013) Large-scale genotyping identifies 41 new loci associated with breast cancer risk. Nat Genet 45 : 353-361 PubMed ID: 23535729
Ghoussaini M, et al … Easton DF (2012) Genome-wide association analysis identifies three new breast cancer susceptibility loci. Nat Genet 44 : 312-318. PubMed ID: 22267197
Varghese JS, et al … Easton DF (2012) Mammographic breast density and breast cancer: evidence of a shared genetic basis. Cancer Res 72 : 1478-84. PubMed ID: 22266113
Kote-Jarai Z, et al … (2011) Seven prostate cancer susceptibility loci identified by a multi-stage genome-wide association study. Nat Genet 43 : 785-791. PubMed ID: 21743467
Macinnis RJ, et al … Easton DF (2011) A risk prediction algorithm based on family history and common genetic variants: application to prostate cancer with potential clinical impact. Genet Epidemiol 35 : 549-556. Pub Med ID: 21769933
Turnbull C, et al … (2010) Genome-wide association study identifies five new breast cancer susceptibility loci. Nat Genet 42:504-507. PubMed ID: 20453838
Ahmed S, et al … Easton DF (2009) Newly discovered breast cancer susceptibility loci on 3p24 and 17q23.2. Nat Genet 41:585-590. PubMed ID: 19330027
Al Olama AA, et al … Easton DF (2009) Multiple loci on 8q24 associated with prostate cancer susceptibility. Nat Genet 41 : 1058-1060 PubMed ID: 19767752
Eeles RA, et al … (2009) Identification of seven new prostate cancer susceptibility loci through a genome-wide association study. Nat Genet 41 : 1116-1121 PubMed ID: 19767753
Eeles RA, et al … (2008) Multiple newly identified loci associated with prostate cancer susceptibility. Nat Genet 40 : 316-321. PubMed ID: 18264097