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Cancers|January 16, 2020
Candidate Causal Variants at the 8p12 Breast Cancer Risk Locus Regulate <i>DUSP4</i>Dylan M Glubb, Wei Shi, Jonathan Beesley, et al.
Oncotarget|October 6, 2017
Functional dissection of breast cancer risk-associated <i>TERT</i> promoter variantsSonja Helbig, Leesa Wockner, Annick Bouendeu, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|September 4, 2008
ABCB1 (MDR 1) polymorphisms and progression-free survival among women with ovarian cancer following paclitaxel/carboplatin chemotherapySharon E Johnatty, Jonathan Beesley, Jim Paul, et al.
American Journal of Human Genetics|September 2, 2020
eQTL Colocalization Analyses Identify NTN4 as a Candidate Breast Cancer Risk GeneJonathan Beesley, Haran Sivakumaran, Mahdi Moradi Marjaneh, et al.
Nature Genetics|June 16, 2015
Genome-wide significant risk associations for mucinous ovarian carcinomaLinda E Kelemen, Kate Lawrenson, Jonathan Tyrer, et al.
Breast Cancer Research and Treatment|December 7, 2007
The RAD51D E233G variant and breast cancer risk: population-based and clinic-based family studies of Australian womenJames G Dowty, Felicity Lose, Mark A Jenkins, et al.
Nature Communications|December 1, 2024
SAM-DNMT3A, a strategy for induction of genome-wide DNA methylation, identifies DNA methylation as a vulnerability in ER-positive breast cancersMahnaz Hosseinpour, Xinqi Xi, Ling Liu, et al.
Angiogenesis|May 11, 2024
Distinct roles of SOX9 in self-renewal of progenitors and mesenchymal transition of the endotheliumJilai Zhao, Laura Sormani, Sebastien Jacquelin, et al.
Breast Cancer Research and Treatment|June 11, 2008
No evidence that CDKN1B (p27) polymorphisms modify breast cancer risk in BRCA1 and BRCA2 mutation carriersAmanda B Spurdle, Andrew J Deans, David Duffy, et al.
Molecular Carcinogenesis|December 5, 2013
Consequences of germline variation disrupting the constitutional translational initiation codon start sites of MLH1 and BRCA2: Use of potential alternative start sites and implications for predicting variant pathogenicityMichael T Parsons, Phillip J Whiley, Jonathan Beesley, et al.
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