Limited influence of germline genetic variation on all-cause mortality in women with early onset breast cancer: evidence from gene-based tests, single-marker regression, and whole-genome prediction

[1]  M. Beckmann,et al.  TP53-based interaction analysis identifies cis-eQTL variants for TP53BP2, FBXO28, and FAM53A that associate with survival and treatment outcome in breast cancer , 2017, Oncotarget.

[2]  W. Willett,et al.  Breast Cancer Risk From Modifiable and Nonmodifiable Risk Factors Among White Women in the United States. , 2016, JAMA oncology.

[3]  Steven Gallinger,et al.  Cross-Cancer Genome-Wide Analysis of Lung, Ovary, Breast, Prostate, and Colorectal Cancer Reveals Novel Pleiotropic Associations. , 2016, Cancer research.

[4]  Susan M. Astley,et al.  Improvement in risk prediction, early detection and prevention of breast cancer in the NHS Breast Screening Programme and family history clinics: a dual cohort study , 2016 .

[5]  J. Rae,et al.  One step at a time: CYP2D6 guided tamoxifen treatment awaits convincing evidence of clinical validity. , 2016, Pharmacogenomics.

[6]  Yurii S. Aulchenko,et al.  The GenABEL Project for statistical genomics , 2016, F1000Research.

[7]  Thomas M. Keane,et al.  An Integrated Genome-Wide Systems Genetics Screen for Breast Cancer Metastasis Susceptibility Genes , 2016, PLoS genetics.

[8]  M. Nakano,et al.  Survival time according to the year of recurrence and subtype in recurrent breast cancer. , 2015, Breast.

[9]  Gabor T. Marth,et al.  A global reference for human genetic variation , 2015, Nature.

[10]  Hui Yang,et al.  Genomic variant annotation and prioritization with ANNOVAR and wANNOVAR , 2015, Nature Protocols.

[11]  T. Luo,et al.  Application status of tamoxifen in endocrine therapy for early breast cancer. , 2015, Experimental and therapeutic medicine.

[12]  S. Gomez,et al.  Breast Cancer Mortality in African-American and Non-Hispanic White Women by Molecular Subtype and Stage at Diagnosis: A Population-Based Study , 2015, Cancer Epidemiology, Biomarkers & Prevention.

[13]  Jane E. Carpenter,et al.  Prediction of Breast Cancer Risk Based on Profiling With Common Genetic Variants , 2015, JNCI Journal of the National Cancer Institute.

[14]  H. Zembutsu.  Pharmacogenomics toward personalized tamoxifen therapy for breast cancer. , 2015, Pharmacogenomics.

[15]  W. Wells,et al.  Personalized therapy for breast cancer , 2014, Clinical genetics.

[16]  Jianxin Shi,et al.  A Genome-wide Association Study of Early-Onset Breast Cancer Identifies PFKM as a Novel Breast Cancer Gene and Supports a Common Genetic Spectrum for Breast Cancer at Any Age , 2014, Cancer Epidemiology, Biomarkers & Prevention.

[17]  J. Shendure,et al.  A general framework for estimating the relative pathogenicity of human genetic variants , 2014, Nature Genetics.

[18]  A. Giuliano,et al.  Personalizing breast cancer staging by the inclusion of ER, PR, and HER2. , 2014, JAMA surgery.

[19]  Jaana M. Hartikainen,et al.  Large-scale genotyping identifies 41 new loci associated with breast cancer risk , 2013, Nature Genetics.

[20]  Orli G. Bahcall.  Common variation and heritability estimates for breast, ovarian and prostate cancers , 2013, Nature Genetics.

[21]  Hae Kyung Im,et al.  Poly‐Omic Prediction of Complex Traits: OmicKriging , 2013, Genetic epidemiology.

[22]  M. Rieder,et al.  Optimal unified approach for rare-variant association testing with application to small-sample case-control whole-exome sequencing studies. , 2012, American journal of human genetics.

[23]  A. Schneeweiss,et al.  Personalized Therapy in Breast Cancer , 2012, Oncology Research and Treatment.

[24]  Michael Jones,et al.  Novel breast cancer susceptibility locus at 9q31.2: results of a genome-wide association study. , 2011, Journal of the National Cancer Institute.

[25]  P. Visscher,et al.  GCTA: a tool for genome-wide complex trait analysis. , 2011, American journal of human genetics.

[26]  P. Rosenberg,et al.  Underlying causes of the black-white racial disparity in breast cancer mortality: a population-based analysis. , 2009, Journal of the National Cancer Institute.

[27]  F. Collins,et al.  Potential etiologic and functional implications of genome-wide association loci for human diseases and traits , 2009, Proceedings of the National Academy of Sciences.

[28]  K. Czene,et al.  Familial concordance in cancer survival: a Swedish population-based study. , 2007, The Lancet. Oncology.

[29]  K. Czene,et al.  Is breast cancer prognosis inherited? , 2007, Breast Cancer Research.

[30]  Toshihiro Tanaka.  The International HapMap Project , 2003, Nature.

[31]  C. Osborne,et al.  Progesterone receptor status significantly improves outcome prediction over estrogen receptor status alone for adjuvant endocrine therapy in two large breast cancer databases. , 2003, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[32]  H. Muss.  Factors used to select adjuvant therapy of breast cancer in the United States: an overview of age, race, and socioeconomic status. , 2001, Journal of the National Cancer Institute. Monographs.

[33]  A. Jemal,et al.  Cancer statistics, 2017 , 2017, CA: a cancer journal for clinicians.

[34]  A. Jemal,et al.  Breast cancer statistics, 2015: Convergence of incidence rates between black and white women , 2016, CA: a cancer journal for clinicians.

[35]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[36]  N. Harbeck,et al.  Long-term outcome prediction by clinicopathological risk classification algorithms in node-negative breast cancer--comparison between Adjuvant!, St Gallen, and a novel risk algorithm used in the prospective randomized Node-Negative-Breast Cancer-3 (NNBC-3) trial. , 2009, Annals of oncology : official journal of the European Society for Medical Oncology.

[37]  Yurii S. Aulchenko,et al.  BIOINFORMATICS APPLICATIONS NOTE doi:10.1093/bioinformatics/btm108 Genetics and population analysis GenABEL: an R library for genome-wide association analysis , 2022 .

[38]  Yusuke Nakamura,et al.  A genome-wide association study identifies locus at 10q22 associated with clinical outcomes of adjuvant tamoxifen therapy for breast cancer patients in Japanese , 2022 .