Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Value of adding single-nucleotide polymorphism genotypes to a breast cancer risk model.

Journal of the National Cancer Institute - 1 Jul 2009

Gail Mitchell H

Abstract excerpt

BACKGROUND: Adding genotypes from seven single-nucleotide polymorphisms (SNPs), which had previously been associated with breast cancer, to the National Cancer Institute's Breast Cancer Risk Assessment Tool (BCRAT) increases the area under the receiver operating characteristic curve from 0.607 to 0.632. METHODS: Criteria that are based on four clinical or public health applications were used to compare BCRAT with...

Topics

Join the communities discussing this publication.

Antineoplastic Agents, Hormonal
Area Under Curve
Bone Density Conservation Agents
Mammography
ROC Curve

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Selective Estrogen Receptor Modulators

Source

Open in PubMed Open full text

Identifiers

PMID: 19535781
DOI: 10.1093/jnci/djp130
PMCID: PMC2704229

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Value of adding single-nucleotide polymorphism genotypes to a breast cancer risk model.PMID 19535781Read ↗

Discriminatory accuracy from single-nucleotide polymorphisms in models to predict breast cancer risk.Semantic proximity Read ↗

Using Breast Cancer Risk Associated Polymorphisms to Identify Women for Breast Cancer Chemoprevention.Semantic proximity Read ↗

Assessment of clinical validity of a breast cancer risk model combining genetic and clinical information.Semantic proximity Read ↗

Using SNP genotypes to improve the discrimination of a simple breast cancer risk prediction model.Semantic proximity Read ↗

Breast Cancer Risk Prediction Using Clinical Models and 77 Independent Risk-Associated SNPs for Women Aged Under 50 Years: Australian Breast Cancer Family Registry.Semantic proximity Read ↗

Incremental impact of breast cancer SNP panel on risk classification in a screening population of white and African American women.Semantic proximity Read ↗

Performance of common genetic variants in breast-cancer risk models.Semantic proximity Read ↗

Personalized Medicine Through SNP Testing for Breast Cancer Risk: Clinical Implementation.Semantic proximity Read ↗

Breast cancer risk stratification in women of screening age: Incremental effects of adding mammographic density, polygenic risk, and a gene panel.Semantic proximity Read ↗

SNPs and breast cancer risk prediction for African American and Hispanic women.Semantic proximity Read ↗

Breast cancer risk prediction and mammography biopsy decisions: a model-based study.Semantic proximity Read ↗

Variation in predictive ability of common genetic variants by established strata: the example of breast cancer and age.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.