| scholarly article | Q13442814 |
| P6179 | Dimensions Publication ID | 1041526261 |
| P356 | DOI | 10.1007/S10549-016-3953-2 |
| P2888 | exact match | https://scigraph.springernature.com/pub.10.1007/s10549-016-3953-2 |
| P932 | PMC publication ID | 5033764 |
| P698 | PubMed publication ID | 27565998 |
| P50 | author | Yiwey Shieh | Q81345889 |
| Jeffrey A Tice | Q91847121 | ||
| Karla Kerlikowske | Q92299671 | ||
| P2093 | author name string | Lin Ma | |
| Elad Ziv | |||
| Steven R Cummings | |||
| Donglei Hu | |||
| Scott Huntsman | |||
| Celine M Vachon | |||
| Charlotte C Gard | |||
| Jessica W T Leung | |||
| P2860 | cites work | Ensembl 2014 | Q24567767 |
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| Genome-wide association study in BRCA1 mutation carriers identifies novel loci associated with breast and ovarian cancer risk | Q27008356 | ||
| American Cancer Society guidelines for breast screening with MRI as an adjunct to mammography | Q28295438 | ||
| Prevention of breast cancer in postmenopausal women: approaches to estimating and reducing risk | Q28390064 | ||
| Presymptomatic risk assessment for chronic non-communicable diseases | Q28743818 | ||
| Genome-wide association study in east Asians identifies novel susceptibility loci for breast cancer | Q28924377 | ||
| Large-scale genotyping identifies 41 new loci associated with breast cancer risk | Q29416989 | ||
| 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. | Q29417036 | ||
| Genome-wide association study identifies 25 known breast cancer susceptibility loci as risk factors for triple-negative breast cancer | Q29417100 | ||
| Population-based screening for cancer: hope and hype. | Q30251601 | ||
| Why clinicians are natural bayesians | Q33939171 | ||
| Genome-wide association analysis in East Asians identifies breast cancer susceptibility loci at 1q32.1, 5q14.3 and 15q26.1. | Q34023796 | ||
| Genome-wide association study identifies five new breast cancer susceptibility loci | Q34114293 | ||
| Assessment of clinical validity of a breast cancer risk model combining genetic and clinical information | Q34267477 | ||
| Medications to decrease the risk for breast cancer in women: recommendations from the U.S. Preventive Services Task Force recommendation statement. | Q34372923 | ||
| Genome-wide association study of breast cancer in Latinas identifies novel protective variants on 6q25. | Q34375940 | ||
| Genome-wide association study of breast cancer in the Japanese population | Q35021642 | ||
| Genome-wide association study identifies multiple loci associated with both mammographic density and breast cancer risk | Q35061252 | ||
| A polygenic risk score for breast cancer in women receiving tamoxifen or raloxifene on NSABP P-1 and P-2. | Q35082982 | ||
| Identifying women with dense breasts at high risk for interval cancer: a cohort study | Q35646902 | ||
| Identification of two novel mammographic density loci at 6Q25.1. | Q35848934 | ||
| Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer | Q35996692 | ||
| Breast Density and Benign Breast Disease: Risk Assessment to Identify Women at High Risk of Breast Cancer | Q36090967 | ||
| The contributions of breast density and common genetic variation to breast cancer risk | Q36137764 | ||
| A meta-analysis of genome-wide association studies of breast cancer identifies two novel susceptibility loci at 6q14 and 20q11. | Q36435849 | ||
| Prediction of breast cancer risk based on profiling with common genetic variants | Q36583004 | ||
| Breast Cancer Risk Prediction Using Clinical Models and 77 Independent Risk-Associated SNPs for Women Aged Under 50 Years: Australian Breast Cancer Family Registry | Q36619329 | ||
| Common genetic determinants of breast-cancer risk in East Asian women: a collaborative study of 23 637 breast cancer cases and 25 579 controls | Q36856357 | ||
| Personalizing mammography by breast density and other risk factors for breast cancer: analysis of health benefits and cost-effectiveness | Q37139381 | ||
| Using the optimal receiver operating characteristic curve to design a predictive genetic test, exemplified with type 2 diabetes | Q37149397 | ||
| Using clinical factors and mammographic breast density to estimate breast cancer risk: development and validation of a new predictive model | Q37172219 | ||
| 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 | Q37619303 | ||
| Novel breast cancer susceptibility locus at 9q31.2: results of a genome-wide association study | Q39006292 | ||
| Associations of Breast Cancer Risk Prediction Tools With Tumor Characteristics and Metastasis | Q41080132 | ||
| Genetic/Familial High-Risk Assessment: Breast and Ovarian, Version 2.2015. | Q44217660 | ||
| Refining clinical diagnosis with likelihood ratios | Q46454711 | ||
| Body size, mammographic density, and breast cancer risk | Q47313242 | ||
| A breast cancer prediction model incorporating familial and personal risk factors. | Q52000310 | ||
| Breast cancer genetic risk profile is differentially associated with interval and screen-detected breast cancers | Q57339170 | ||
| Mammographic Density and the Risk and Detection of Breast Cancer | Q59545042 | ||
| Projecting individualized probabilities of developing breast cancer for white females who are being examined annually | Q69396132 | ||
| A role for common genomic variants in the assessment of familial breast cancer | Q85312916 | ||
| P433 | issue | 3 | |
| P407 | language of work or name | English | Q1860 |
| P304 | page(s) | 513-525 | |
| P577 | publication date | 2016-08-26 | |
| P1433 | published in | Breast Cancer Research and Treatment | Q326085 |
| P1476 | title | Breast cancer risk prediction using a clinical risk model and polygenic risk score | |
| P478 | volume | 159 |
| Q92199197 | A systematic review and quality assessment of individualised breast cancer risk prediction models |
| Q64052005 | A systems biology approach uncovers cell-specific gene regulatory effects of genetic associations in multiple sclerosis |
| Q52372349 | A tutorial on conducting genome-wide association studies: Quality control and statistical analysis. |
| Q91994082 | A way forward for cancer prevention therapy: personalized risk assessment |
| Q60922935 | An ensemble-based likelihood ratio approach for family-based genomic risk prediction |
| Q52576610 | Association of polygenic risk score with the risk of chronic lymphocytic leukemia and monoclonal B-cell lymphocytosis. |
| Q87909686 | Breast Cancer Risk Model Requirements for Counseling, Prevention, and Screening |
| Q30238753 | Breast Cancer Screening in the Precision Medicine Era: Risk-Based Screening in a Population-Based Trial. |
| Q38875555 | Cancer Screening and Early Detection in the 21st Century |
| Q89746441 | Clinical applications of polygenic breast cancer risk: a critical review and perspectives of an emerging field |
| Q92528444 | Comparative Validation of Breast Cancer Risk Prediction Models and Projections for Future Risk Stratification |
| Q92555462 | Defining the Genetic, Genomic, Cellular, and Diagnostic Architectures of Psychiatric Disorders |
| Q98159615 | Delineation of the Germline and Somatic Mutation Interaction Landscape in Triple-Negative and Non-Triple-Negative Breast Cancer |
| Q58077762 | Do Birthweight and Weight Gain During Infancy and Early Childhood Explain Variation in Mammographic Density in Women in Midlife? Results From Cohort and Sibling Analyses |
| Q55040393 | Evaluation of three polygenic risk score models for the prediction of breast cancer risk in Singapore Chinese. |
| Q52690280 | Exposure to hazardous air pollutants and risk of incident breast cancer in the nurses' health study II. |
| Q38739215 | Extensions of the Rosner-Colditz breast cancer prediction model to include older women and type-specific predicted risk. |
| Q64080586 | Genetic Testing to Guide Risk-Stratified Screens for Breast Cancer |
| Q97643246 | Genetic architecture of complex traits and disease risk predictors |
| Q59756250 | Germline Variation and Breast Cancer Incidence: A Gene-Based Association Study and Whole-Genome Prediction of Early-Onset Breast Cancer |
| Q64934338 | High-risk women's risk perception after receiving personalized polygenic breast cancer risk information. |
| Q47190168 | Joint associations of a polygenic risk score and environmental risk factors for breast cancer in the Breast Cancer Association Consortium |
| Q40089754 | Joint relative risks for estrogen receptor-positive breast cancer from a clinical model, polygenic risk score, and sex hormones. |
| Q108126970 | Machine Learning Prediction of Biomarkers from SNPs and of Disease Risk from Biomarkers in the UK Biobank |
| Q52574603 | Model for Predicting Breast Cancer Risk in Women With Atypical Hyperplasia. |
| Q64085296 | On the relationship between the heritability and the attributable fraction |
| Q92555536 | Personalized Medicine and the Power of Electronic Health Records |
| Q64240122 | Towards a more precise and individualized assessment of breast cancer risk |
| Q49964811 | Use of Single-Nucleotide Polymorphisms and Mammographic Density Plus Classic Risk Factors for Breast Cancer Risk Prediction. |
| Q36255311 | Using Breast Cancer Risk Associated Polymorphisms to Identify Women for Breast Cancer Chemoprevention |
| Q57074024 | Women's preferences, willingness-to-pay, and predicted uptake for single-nucleotide polymorphism gene testing to guide personalized breast cancer screening strategies: a discrete choice experiment |
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