ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2013
Genetic variants improve breast cancer risk prediction on mammograms.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Why the Gold Standard Approach by Mammography Demands Extension by Multiomics? Application of Liquid Biopsy miRNA Profiles to Breast Cancer Disease Management.International journal of molecular sciences · 2019Review
- Temporal Poisson Square Root Graphical Models.Proceedings of machine learning research · 2018Article
- Machine Learning and Radiogenomics: Lessons Learned and Future Directions.Frontiers in oncology · 2018Review
- Improving breast cancer risk prediction by using demographic risk factors, abnormality features on mammograms and genetic variants.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- Discriminatory power of common genetic variants in personalized breast cancer diagnosis.Proceedings of SPIE--the International Society for Optical Engineering · 2016Article
- Developing a utility decision framework to evaluate predictive models in breast cancer risk estimation.Journal of medical imaging (Bellingham, Wash.) · 2015Article
- Developing a clinical utility framework to evaluate prediction models in radiogenomics.Proceedings of SPIE--the International Society for Optical Engineering · 2015Article
- Leveraging Interaction between Genetic Variants and Mammographic Findings for Personalized Breast Cancer Diagnosis.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2015Article
- New genetic variants improve personalized breast cancer diagnosis.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2014Article
- Comparing the value of mammographic features and genetic variants in breast cancer risk prediction.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Several recent genome-wide association studies have identified genetic variants associated with breast cancer. However, how much these genetic variants may help advance breast cancer risk prediction based on other clinical features, like mammographic findings, is unknown. We conducted a retrospective case-control study, collecting mammographic findings and high-frequency/low-penetrance genetic variants from an existing personalized medicine data repository. A Bayesian network was developed using Tree Augmented Naive Bayes (TAN) by training on the mammographic findings, with and without the 22 genetic variants collected. We analyzed the predictive performance using the area under the ROC curve, and found that the genetic variants significantly improved breast cancer risk prediction on mammograms. We also identified the interaction effect between the genetic variants and collected mammographic findings in an attempt to link genotype to mammographic phenotype to better understand disease patterns, mechanisms, and/or natural history.
Indexed as
Identifiers
24551380PMC3900221What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.