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Cancer Research|August 17, 2011
Common breast cancer susceptibility loci are associated with triple-negative breast cancerKristen N Stevens, Celine M Vachon, Adam M Lee, et al.
Journal of the National Cancer Institute|July 24, 2026
Clarifying risk-factor associations with quantitative breast tumor features: a pooled analysis of 24 studiesDaniel Adams, Amber N Hurson, Thomas U Ahearn, et al.
Breast Cancer Research : BCR|April 8, 2015
Assessment of variation in immunosuppressive pathway genes reveals TGFBR2 to be associated with prognosis of estrogen receptor-negative breast cancer after chemotherapyJieping Lei, Anja Rudolph, Kirsten B Moysich, et al.
Carcinogenesis|December 12, 2013
Genome-wide association study identifies 25 known breast cancer susceptibility loci as risk factors for triple-negative breast cancerKristen S Purrington, Susan Slager, Diana Eccles, et al.
Nature Communications|June 18, 2014
2q36.3 is associated with prognosis for oestrogen receptor-negative breast cancer patients treated with chemotherapyJingmei Li, Linda S Lindström, Jia N Foo, et al.
European Journal of Cancer (Oxford, England : 1990)|August 7, 2022
Incorporating progesterone receptor expression into the PREDICT breast prognostic modelIsabelle Grootes, Renske Keeman, Fiona M Blows, et al.
Journal of Medical Genetics|July 14, 2023
Evaluation of European-based polygenic risk score for breast cancer in Ashkenazi Jewish women in IsraelHagai Levi, Shai Carmi, Saharon Rosset, et al.
Cancer Medicine|July 4, 2023
Association of the CHEK2 c.1100delC variant, radiotherapy, and systemic treatment with contralateral breast cancer risk and breast cancer-specific survivalAnna Morra, Maartje A C Schreurs, Irene L Andrulis, et al.
Research Square|February 24, 2023
Association of the CHEK2 c.1100delC variant, radiotherapy, and systemic treatment with contralateral breast cancer risk and breast cancer-specific survivalAnna Morra, Maartje A C Schreurs, Irene L Andrulis, et al.
Human Mutation|May 10, 2024
A likelihood ratio approach for utilizing case-control data in the clinical classification of rare sequence variants: application to BRCA1 and BRCA2Maria Zanti, Denise G O'Mahony, Michael T Parsons, et al.
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