Prospective evaluation of a breast-cancer risk model integrating classical risk factors and polygenic risk in 15 cohorts from six countries
出版年份 2021 全文链接
标题
Prospective evaluation of a breast-cancer risk model integrating classical risk factors and polygenic risk in 15 cohorts from six countries
作者
关键词
-
出版物
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
Volume -, Issue -, Pages -
出版商
Oxford University Press (OUP)
发表日期
2021-02-20
DOI
10.1093/ije/dyab036
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- iCARE: An R package to build, validate and apply absolute risk models
- (2020) Parichoy Pal Choudhury et al. PLoS One
- The illusion of polygenic disease risk prediction
- (2019) Nicholas J. Wald et al. GENETICS IN MEDICINE
- Assessment of breast cancer risk: which tools to use?
- (2019) Montserrat Garcia-Closas et al. LANCET ONCOLOGY
- 10-year performance of four models of breast cancer risk: a validation study
- (2019) Mary Beth Terry et al. LANCET ONCOLOGY
- A response to “Personalised medicine and population health: breast and ovarian cancer”
- (2019) Antonis Antoniou et al. HUMAN GENETICS
- Correction: BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors
- (2019) Andrew Lee et al. GENETICS IN MEDICINE
- Breast cancer pathology and stage are better predicted by risk stratification models that include mammographic density and common genetic variants
- (2019) D. Gareth R. Evans et al. BREAST CANCER RESEARCH AND TREATMENT
- A systematic review and quality assessment of individualised breast cancer risk prediction models
- (2019) Javier Louro et al. BRITISH JOURNAL OF CANCER
- What Are Polygenic Scores and Why Are They Important?
- (2019) Leo P. Sugrue et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Why structure matters
- (2019) Nick Barton et al. eLife
- Comparative validation of breast cancer risk prediction models and projections for future risk stratification
- (2019) Parichoy Pal Choudhury et al. JNCI-Journal of the National Cancer Institute
- Medication Use to Reduce Risk of Breast Cancer
- (2019) et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Unravelling triple-negative breast cancer molecular heterogeneity using an integrative multiomic analysis
- (2018) Y Bareche et al. ANNALS OF ONCOLOGY
- Breast Cancer Risk Model Requirements for Counseling, Prevention, and Screening
- (2018) Mitchell H Gail et al. JNCI-Journal of the National Cancer Institute
- The personal and clinical utility of polygenic risk scores
- (2018) Ali Torkamani et al. NATURE REVIEWS GENETICS
- Breast Cancer Risk Model Requirements for Counseling, Prevention, and Screening
- (2018) Mitchell H Gail et al. JNCI-Journal of the National Cancer Institute
- Use of Single-Nucleotide Polymorphisms and Mammographic Density Plus Classic Risk Factors for Breast Cancer Risk Prediction
- (2018) Elke M. van Veen et al. JAMA Oncology
- Long-term Accuracy of Breast Cancer Risk Assessment Combining Classic Risk Factors and Breast Density
- (2018) Adam R. Brentnall et al. JAMA Oncology
- Cost-effectiveness and Benefit-to-Harm Ratio of Risk-Stratified Screening for Breast Cancer
- (2018) Nora Pashayan et al. JAMA Oncology
- Addition of a polygenic risk score, mammographic density, and endogenous hormones to existing breast cancer risk prediction models: A nested case–control study
- (2018) Xuehong Zhang et al. PLOS MEDICINE
- Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes
- (2018) Nasim Mavaddat et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Breast Cancer Screening in the Precision Medicine Era: Risk-Based Screening in a Population-Based Trial
- (2017) Yiwey Shieh et al. JNCI-Journal of the National Cancer Institute
- Association analysis identifies 65 new breast cancer risk loci
- (2017) Kyriaki Michailidou et al. NATURE
- Breast Cancer Screening in the Precision Medicine Era: Risk-Based Screening in a Population-Based Trial
- (2017) Yiwey Shieh et al. JNCI-Journal of the National Cancer Institute
- Breast cancer risk prediction using a clinical risk model and polygenic risk score
- (2016) Yiwey Shieh et al. BREAST CANCER RESEARCH AND TREATMENT
- Chance, choice and cause in cancer aetiology: individual and population perspectives
- (2016) George Davey Smith et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Projecting Individualized Absolute Invasive Breast Cancer Risk in US Hispanic Women
- (2016) Matthew P. Banegas et al. JNCI-Journal of the National Cancer Institute
- Developing and evaluating polygenic risk prediction models for stratified disease prevention
- (2016) Nilanjan Chatterjee et al. NATURE REVIEWS GENETICS
- Projecting Individualized Absolute Invasive Breast Cancer Risk in US Hispanic Women
- (2016) Matthew P. Banegas et al. JNCI-Journal of the National Cancer Institute
- Breast Cancer Risk From Modifiable and Nonmodifiable Risk Factors Among White Women in the United States
- (2016) Paige Maas et al. JAMA Oncology
- The Contributions of Breast Density and Common Genetic Variation to Breast Cancer Risk
- (2015) Celine M. Vachon et al. JNCI-Journal of the National Cancer Institute
- The Contributions of Breast Density and Common Genetic Variation to Breast Cancer Risk
- (2015) Celine M. Vachon et al. JNCI-Journal of the National Cancer Institute
- Combined Associations of Genetic and Environmental Risk Factors: Implications for Prevention of Breast Cancer
- (2014) M. Garcia-Closas et al. JNCI-Journal of the National Cancer Institute
- Incremental impact of breast cancer SNP panel on risk classification in a screening population of white and African American women
- (2013) Anne Marie McCarthy et al. BREAST CANCER RESEARCH AND TREATMENT
- Recalibration of the Gail model for predicting invasive breast cancer risk in Spanish women: a population-based cohort study
- (2013) Roberto Pastor-Barriuso et al. BREAST CANCER RESEARCH AND TREATMENT
- Projecting Individualized Absolute Invasive Breast Cancer Risk in Asian and Pacific Islander American Women
- (2011) Rayna K. Matsuno et al. JNCI-Journal of the National Cancer Institute
- Associations of Breast Cancer Risk Factors With Tumor Subtypes: A Pooled Analysis From the Breast Cancer Association Consortium Studies
- (2010) Xiaohong R. Yang et al. JNCI-Journal of the National Cancer Institute
- Beyond odds ratios — communicating disease risk based on genetic profiles
- (2009) Peter Kraft et al. NATURE REVIEWS GENETICS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation