Evidence map›Paper›PMID 24558641›Full record

ArticleHereditary genetics : current research2012

Epistatic Control of Mammary Cancer Susceptibility in Mice may Depend on the Dietary Environment.

Larry J Leamy, Ryan R Gordon, Daniel Pomp

Open access · hybridAbstract read
In one paragraph

Article in Hereditary genetics : current research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 30% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 1 country.

Larry J LeamyDepartment of Biology, University of North Carolina at Charlotte, Charlotte, North Carolina, 28223.
Ryan R GordonDepartment of Nutrition, University of North Carolina, Chapel Hill, North Carolina 27599.
Daniel PompDepartment of Biology, Nutrition, and Cell and Molecular Physiology, University of North Carolina, Chapel Hill North Carolina, 27599.
University of North Carolina at Charlotte · US

Funding

Modeling heterogeneity for safe cancer prevention and detectionU01CA105417 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI THREADGILL, DAVID W. · 2004 to 2013
$6.7M
Genetic Architecture of Voluntary Exercise in MiceR01DK076050 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI POMP, DANIEL · 2007 to 2010
$966k
NCI NIH HHS U01 CA105417NIDDK NIH HHS R01 DK076050
6 · The paper itself

Abstract

Recent studies have linked a high fat diet to the development of breast cancer, but any genetic basis for this association is poorly understood. We investigated this association with an epistatic analysis of seven cancer traits in a segregating population of mice with metastatic mammary cancer that were fed either a control or a high-fat diet. We used an interval mapping approach with single nucleotide polymorphisms to scan all 19 autosomes, and discovered a number of diet-independent epistatic interactions of quantitative trait loci (QTLs) affecting these traits. More importantly, we also discovered significant epistatic by diet interactions affecting some of the traits that suggested these epistatic effects varied depending on the dietary environment. An analysis of these interactions showed some were due to epistasis that occurred in mice fed only the control diet or only the high-fat diet whereas other interactions were generated by differential effects of epistasis in the two dietary environments. Some of the epistatic QTLs appeared to colocalize with cancer QTLs mapped in other mouse populations and with candidate genes identified from eQTLs previously mapped in this population, but others represented novel modifying loci affecting these cancer traits. It was concluded that these diet-dependent epistatic QTLs contribute to a genetic susceptibility of dietary effects on breast cancer, and their identification may eventually lead to a better understanding that will be needed for the design of more effective treatments for this disease.

Indexed as

EpistasisHigh-fat dietMammary cancerMicePyMTQTLs

Identifiers

PMID24558641
PMCPMC3927415
OpenAlexW2134267720

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.