Evidence map›Paper›PMID 19029399›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2008

Mammographic breast density--evidence for genetic correlations with established breast cancer risk factors.

Julie A Douglas, Marie-Hélène Roy-Gagnon, Chuan Zhou, Braxton D Mitchell, Alan R Shuldiner, Heang-Ping Chan, Mark A Helvie

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2008. 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
–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

9 citing papers in PubMed.

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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.

Julie A DouglasDepartment of Human Genetics, University of Michigan Medical School, Room 5912, Buhl Building, 1241 E. Catherine Street, Ann Arbor, MI 48109-5618, USA. jddoug@umich.edu
Marie-Hélène Roy-Gagnon
Chuan Zhou
Braxton D Mitchell
Alan R Shuldiner
Heang-Ping Chan
Mark A Helvie

Funding

Mapping Genes for Mammographic Breast DensityR01CA122844 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DOUGLAS, JULIE A. · 2007 to 2011
$3.0M
NCI NIH HHS CA122844NCI NIH HHS R01 CA122844
6 · The paper itself

Abstract

Previous twin and family studies indicate that the familial aggregation of breast density is due (in part) to genetic factors. Whether these genetic influences are shared with other breast cancer risk factors, however, is not known. Using standard film-screen mammography, we screened 550 women, including 611 pairs of sisters, from the Old Order Amish population of Lancaster County, Pennsylvania. We digitized mammograms and quantified the dense and nondense areas of the breast using a computer-assisted method. Information about other breast cancer risk factors was collected via questionnaires and a physical exam. Using pedigree-based variance component methods, we estimated the genetic contributions to several breast cancer risk factors, including breast density, and evaluated the evidence for shared genetic influences between them. After adjusting for covariates, genetic effects accounted for >33% of the total variance of each risk factor (P < 0.001), including breast density, and the dense and nondense areas of the breast were significantly genetically correlated with parity [genetic correlation (rho(G)) = -0.47; P = 0.013] and age at menarche (rho(G) = -0.38; P = 0.008), respectively. The nondense area of the breast and, in turn, breast density, expressed as a ratio of dense area to total area, were also genetically correlated with most measures of adiposity but in opposite directions (rho(G) > or = 0.75; P < 10(-7) for nondense area). We conclude that the genetic components that influence breast density are not independent of the genetic components that influence other breast cancer risk factors. This shared genetic architecture should be considered in future genetic studies of breast density.

Indexed as

MammographyAdipose TissueAdultAgedAged, 80 and overBreastBreast NeoplasmsFemaleGenetic Predisposition to DiseaseHumansMiddle AgedModels, StatisticalPennsylvaniaPhysical ExaminationPopulation SurveillanceRisk Factors

Identifiers

PMID19029399
PMCPMC2843541

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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.