Evidence map›Paper›PMID 24467842›Full record

ArticleBreast cancer research : BCR2014

Significant overlap between human genome-wide association-study nominated breast cancer risk alleles and rat mammary cancer susceptibility loci.

Jennifer Sanders, David J Samuelson

Open access · goldAbstract readComparative Study
In one paragraph

Article in Breast cancer research : BCR, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 21% of its field
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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Rat models of musculoskeletal lysosomal storage disorders and their role in pre-clinical evaluation of gene therapy approaches.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Mapping Mammary Tumor Traits in the Rat.Methods in molecular biology (Clifton, N.J.) · 2019
    Review
  7. Review
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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

2 authors at 1 institution in 1 country.

Jennifer Sanders
David J Samuelson
University of Louisville · US

Funding

UOFL ENVIRONMENTAL HEALTH SCIENCES TRAINING PROGRAMT32ES011564 · NIEHS · UNIVERSITY OF LOUISVILLE · PI David W Hein, John Pierce Wise · 2004 to 2026
$7.1M
Identifying candidate modifier elements of a breast cancer risk associated alleleR01CA137052 · NCI · UNIVERSITY OF LOUISVILLE · PI SAMUELSON, DAVID J · 2009 to 2013
$1.5M
NCI NIH HHS CA137052NIEHS NIH HHS T32 ES011564NIEHS NIH HHS T32-ES011564
6 · The paper itself

Abstract

introductionHuman population-based genome-wide association (GWA) studies identify low penetrance breast cancer risk alleles; however, GWA studies alone do not definitively determine causative genes or mechanisms. Stringent genome- wide statistical significance level requirements, set to avoid false-positive associations, yield many false-negative associations. Laboratory rats (Rattus norvegicus) are useful to study many aspects of breast cancer, including genetic susceptibility. Several rat mammary cancer associated loci have been identified using genetic linkage and congenic strain based-approaches. Here, we sought to determine the amount of overlap between GWA study nominated human breast and rat mammary cancer susceptibility loci.

methodsWe queried published GWA studies to identify two groups of SNPs, one that reached genome-wide significance and one comprised of SNPs failing a validation step and not reaching genome- wide significance. Human genome locations of these SNPs were compared to known rat mammary carcinoma susceptibility loci to determine if risk alleles existed in both species. Rat genome regions not known to associate with mammary cancer risk were randomly selected as control regions.

resultsSignificantly more human breast cancer risk GWA study nominated SNPs mapped at orthologs of rat mammary cancer loci than to regions not known to contain rat mammary cancer loci. The rat genome was useful to predict associations that had met human genome-wide significance criteria and weaker associations that had not.

conclusionsIntegration of human and rat comparative genomics may be useful to parse out false-negative associations in GWA studies of breast cancer risk.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association Study9,10-Dimethyl-1,2-benzanthraceneAllelesAnimalsBreast NeoplasmsChromosome MappingEstradiolFemaleGenomicsHumansMammary Neoplasms, AnimalPolymorphism, Single NucleotideRatsRats, Inbred WFRats, Inbred WKY9,10-Dimethyl-1,2-benzanthraceneEstradiolSelenoproteinsSMCP protein, rat

Identifiers

PMID24467842
PMCPMC4054882
OpenAlexW2109417029

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.