Evidence map›Paper›PMID 26589314›Full record

ArticleBreast cancer research and treatment2015

SNPs and breast cancer risk prediction for African American and Hispanic women.

Richard Allman, Gillian S Dite, John L Hopper, Ora Gordon, Athena Starlard-Davenport, Rowan Chlebowski, Charles Kooperberg

Abstract read
In one paragraph

Article in Breast cancer research and treatment, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Evaluation of Multiple Breast Cancer Polygenic Risk Score Panels in Women of Latin American Heritage.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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  18. The Role of Electronic Health Records in Advancing Genomic Medicine.Annual review of genomics and human genetics · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Richard AllmanGenetic Technologies Ltd., 60-66 Hanover Street, Fitzroy, VIC, 3065, Australia. Richard.Allman@gtglabs.com.
Gillian S DiteCentre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Australia.
John L HopperCentre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Australia.
Ora GordonProvidence St. Joseph Medical Center/UCLA School of Medicine, Los Angeles, CA, USA.
Athena Starlard-DavenportDepartment of Medical Genetics, The University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Rowan ChlebowskiLos Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
Charles KooperbergDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Eric Collisson · 1985 to 2026
$296.4M
WOMENS HEALTH INITIATIVE-N01WH22110N01WH022110 · WH · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ROSS, PRENTICE · 1992 to 2006
$1.2M
NCI NIH HHS P30 CA015704PHS HHS 24152PHS HHS 32100-2PHS HHS 32105-6PHS HHS 32108-9PHS HHS 32111-13PHS HHS 32115PHS HHS 32118-32119PHS HHS 32122PHS HHS 42107-26PHS HHS 42129-32PHS HHS 44221WHI NIH HHS N01 WH022110
6 · The paper itself

Abstract

For African American or Hispanic women, the extent to which clinical breast cancer risk prediction models are improved by including information on susceptibility single nucleotide polymorphisms (SNPs) is unknown, even though these women comprise increasing proportions of the US population and represent a large proportion of the world's population. We studied 7539 African American and 3363 Hispanic women from the Women's Health Initiative. The age-adjusted 5-year risks from the BCRAT and IBIS risk prediction models were measured and combined with a risk score based on >70 independent susceptibility SNPs. Logistic regression, adjusting for age group, was used to estimate risk associations with log-transformed age-adjusted 5-year risks. Discrimination was measured by the odds ratio (OR) per standard deviation (SD) and the area under the receiver operator curve (AUC). When considered alone, the ORs for African American women were 1.28 for BCRAT, and 1.04 for IBIS. When combined with the SNP risk score (OR 1.23), the corresponding ORs were 1.39 and 1.22. For Hispanic women the corresponding ORs were 1.25 for BCRAT, and 1.15 for IBIS. When combined with the SNP risk score (OR 1.39), the corresponding ORs were 1.48 and 1.42. There was no evidence that any of the combined models were not well calibrated. Including information on known breast cancer susceptibility loci provides approximately 10 and 19% improvement in risk prediction using BCRAT for African Americans and Hispanics, respectively. The corresponding figures for IBIS are approximately 18 and 26%, respectively.

Indexed as

Black or African AmericanHispanic or LatinoPolymorphism, Single NucleotideAge FactorsArea Under CurveBreast NeoplasmsFemaleGenetic Predisposition to DiseaseHumansLogistic ModelsOdds RatioAfrican AmericanBreast cancerHispanicRisk predictionSingle nucleotide polymorphisms

Identifiers

PMID26589314
PMCPMC4661211

What OpenQuestion holds

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Registered trials

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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.