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Scientific Reports|May 10, 2014
Paclitaxel sensitivity in relation to ABCB1 expression, efflux and single nucleotide polymorphisms in ovarian cancerBo Gao, Amanda Russell, Jonathan Beesley, et al.
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|December 19, 2007
Association between single-nucleotide polymorphisms in hormone metabolism and DNA repair genes and epithelial ovarian cancer: results from two Australian studies and an additional validation setJonathan Beesley, Susan J Jordan, Amanda B Spurdle, et al.
NPJ Breast Cancer|January 21, 2026
CRISPR screens identify PRMT7 as a therapeutic target to enhance T cell-mediated killing in breast cancerWei Shi, Yi Luo, Yizhuo Wang, et al.
Journal of Medical Genetics|April 24, 2010
A BRCA1 promoter variant (rs11655505) and breast cancer riskPaolo Verderio, Sara Pizzamiglio, Melissa C Southey, et al.
Molecular Carcinogenesis|April 12, 2011
Xenobiotic-Metabolizing gene polymorphisms and ovarian cancer riskEllen L Goode, Kristin L White, Robert A Vierkant, et al.
Twin Research and Human Genetics : the Official Journal of the International Society for Twin Studies|May 22, 2009
Polymorphisms in the FGF2 gene and risk of serous ovarian cancer: results from the ovarian cancer association consortiumSharon E Johnatty, Jonathan Beesley, Xiaoqing Chen, et al.
Molecular Cancer|January 8, 2026
BRRIAR lncRNA alters breast cancer risk by modulating interferon signaling in cis and in transHaran Sivakumaran, Sneha Nair, Mainá Bitar, et al.
Genome Biology|March 29, 2023
CRISPR screens identify gene targets at breast cancer risk lociNatasha K Tuano, Jonathan Beesley, Murray Manning, et al.
Scientific Reports|January 26, 2018
Genome-wide association study of paclitaxel and carboplatin disposition in women with epithelial ovarian cancerBo Gao, Yi Lu, Annemieke J M Nieuweboer, et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics|May 13, 2016
Breast cancer risk prediction using a polygenic risk score in the familial setting: a prospective study from the Breast Cancer Family Registry and kConFabHongyan Li, Bingjian Feng, Alexander Miron, et al.
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