Title Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes

[1]  E. Topol,et al.  The personal and clinical utility of polygenic risk scores , 2018, Nature Reviews Genetics.

[2]  Mary E. Haas,et al.  Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations , 2018, Nature Genetics.

[3]  S. Cross,et al.  Joint associations of a polygenic risk score and environmental risk factors for breast cancer in the Breast Cancer Association Consortium. , 2018, International journal of epidemiology.

[4]  Michael Jones,et al.  Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer , 2017, Nature Genetics.

[5]  Gary D Bader,et al.  Association analysis identifies 65 new breast cancer risk loci , 2017, Nature.

[6]  John R Thompson,et al.  Inclusion of biological knowledge in a Bayesian shrinkage model for joint estimation of SNP effects , 2017, Genetic epidemiology.

[7]  W. Chung,et al.  Evaluation of Polygenic Risk Scores for Breast and Ovarian Cancer Risk Prediction in BRCA1 and BRCA2 Mutation Carriers , 2017, Journal of the National Cancer Institute.

[8]  Martin Eklund,et al.  Breast Cancer Screening in the Precision Medicine Era: Risk-Based Screening in a Population-Based Trial , 2017, Journal of the National Cancer Institute.

[9]  Dennis J. Hazelett,et al.  The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers , 2016, Cancer Epidemiology, Biomarkers & Prevention.

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

[11]  Jingmei Li,et al.  Associations of Breast Cancer Risk Prediction Tools With Tumor Characteristics and Metastasis. , 2016, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[12]  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 .

[13]  L. Wain,et al.  Haplotype estimation for biobank scale datasets , 2016, Nature Genetics.

[14]  X. Hua,et al.  Winner's Curse Correction and Variable Thresholding Improve Performance of Polygenic Risk Modeling Based on Genome-Wide Association Study Summary-Level Data , 2016, bioRxiv.

[15]  Patrick Neven,et al.  Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer , 2015 .

[16]  P. Hall,et al.  Breast cancer genetic risk profile is differentially associated with interval and screen-detected breast cancers. , 2015, Annals of oncology : official journal of the European Society for Medical Oncology.

[17]  Peter Kraft,et al.  Additive interactions between susceptibility single-nucleotide polymorphisms identified in genome-wide association studies and breast cancer risk factors in the Breast and Prostate Cancer Cohort Consortium. , 2014, American journal of epidemiology.

[18]  M. García-Closas,et al.  Combined associations of genetic and environmental risk factors: implications for prevention of breast cancer. , 2014, Journal of the National Cancer Institute.

[19]  Julian Peto,et al.  A large-scale assessment of two-way SNP interactions in breast cancer susceptibility using 46,450 cases and 42,461 controls from the breast cancer association consortium. , 2014, Human molecular genetics.

[20]  Ross M. Fraser,et al.  A General Approach for Haplotype Phasing across the Full Spectrum of Relatedness , 2014, PLoS genetics.

[21]  D. Easton,et al.  BOADICEA breast cancer risk prediction model: updates to cancer incidences, tumour pathology and web interface , 2013, British Journal of Cancer.

[22]  D. Easton,et al.  Breast cancer screening: time to target women at risk , 2013, British Journal of Cancer.

[23]  Wei Lu,et al.  Functional variants at the 11q13 risk locus for breast cancer regulate cyclin D1 expression through long-range enhancers. , 2013, American journal of human genetics.

[24]  P. Pharoah,et al.  Public health implications from COGS and potential for risk stratification and screening , 2013, Nature Genetics.

[25]  D. English,et al.  A risk prediction algorithm based on family history and common genetic variants: application to prostate cancer with potential clinical impact , 2011, Genetic epidemiology.

[26]  D. Easton,et al.  Polygenic susceptibility to prostate and breast cancer: implications for personalised screening , 2011, British Journal of Cancer.

[27]  Yun Li,et al.  METAL: fast and efficient meta-analysis of genomewide association scans , 2010, Bioinform..

[28]  Trevor Hastie,et al.  Regularization Paths for Generalized Linear Models via Coordinate Descent. , 2010, Journal of statistical software.

[29]  Peter Kraft,et al.  Testing calibration of risk models at extremes of disease risk. , 2015, Biostatistics.

[30]  R. Tibshirani Regression Shrinkage and Selection via the Lasso , 1996 .