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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.
Oncotarget|October 30, 2016
Association of breast cancer risk with genetic variants showing differential allelic expression: Identification of a novel breast cancer susceptibility locus at 4q21Yosr Hamdi, Penny Soucy, Véronique Adoue, et al.
Cancers|June 2, 2021
Gene-Environment Interactions Relevant to Estrogen and Risk of Breast Cancer: Can Gene-Environment Interactions Be Detected Only among Candidate SNPs from Genome-Wide Association Studies?JooYong Park, Ji-Yeob Choi, Jaesung Choi, et al.
European Journal of Human Genetics : EJHG|January 27, 2023
FANCM missense variants and breast cancer risk: a case-control association study of 75,156 European womenGisella Figlioli, Amandine Billaud, Thomas U Ahearn, et al.
Plos One|May 6, 2016
RAD51B in Familial Breast CancerLiisa M Pelttari, Sofia Khan, Mikko Vuorela, et al.
Breast Cancer Research : BCR|February 18, 2016
Genetic predisposition to ductal carcinoma in situ of the breastChristos Petridis, Mark N Brook, Vandna Shah, et al.
American Journal of Human Genetics|August 3, 2024
Co-observation of germline pathogenic variants in breast cancer predisposition genes: Results from analysis of the BRIDGES sequencing datasetAimee L Davidson, Kyriaki Michailidou, Michael T Parsons, 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.
Scientific Reports|December 2, 2015
Meta-analysis of genome-wide association studies identifies common susceptibility polymorphisms for colorectal and endometrial cancer near SH2B3 and TSHZ1Timothy H T Cheng, Deborah Thompson, Jodie Painter, et al.
Medrxiv : the Preprint Server for Health Sciences|July 29, 2026
PRANA: A Deep Learning Method for Adapting Polygenic Risk Scores to Diverse Ethnic GroupsHagai Levi, Qin Wang, Manjeet K Bolla, et al.
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