Evidence map›Paper›PMID 29665850›Full record

ArticleBreast cancer research : BCR2018

Common genetic variation and novel loci associated with volumetric mammographic density.

Judith S Brand, Keith Humphreys, Jingmei Li, Robert Karlsson, Per Hall, Kamila Czene

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.2field-weighted citation impact, top 17% 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

16 citing papers in PubMed, 31 citations in OpenAlex.

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  13. Heritability of mammographic breast density.Quantitative imaging in medicine and surgery · 2020
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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

6 authors at 1 institution in 2 countries.

Judith S BrandDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels Väg 12A, 171 77, Stockholm, Sweden. judith.brand@ki.se.ORCID 0000-0002-3720-1274
Keith HumphreysDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels Väg 12A, 171 77, Stockholm, Sweden.
Jingmei LiDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels Väg 12A, 171 77, Stockholm, Sweden.
Robert KarlssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels Väg 12A, 171 77, Stockholm, Sweden.
Per HallDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels Väg 12A, 171 77, Stockholm, Sweden.
Kamila CzeneDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels Väg 12A, 171 77, Stockholm, Sweden.
Karolinska Institutet · SE

Funding

Epidemiologic StudiesU19CA148065 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI AHSAN, HABIBUL, BRUGGE, JOAN SIEFERT · 2010 to 2014
$10.6M
Cancer Research UK C1287/A10118Cancer Research UK C1287/A10710Cancer Research UK C1287/A16563CIHRNCI NIH HHS U19 CA148065
6 · The paper itself

Abstract

backgroundMammographic density (MD) is a strong and heritable intermediate phenotype of breast cancer, but much of its genetic variation remains unexplained.

methodsWe conducted a genetic association study of volumetric MD in a Swedish mammography screening cohort (n = 9498) to identify novel MD loci. Associations with volumetric MD phenotypes (percent dense volume, absolute dense volume, and absolute nondense volume) were estimated using linear regression adjusting for age, body mass index, menopausal status, and six principal components. We also estimated the proportion of MD variance explained by additive contributions from single-nucleotide polymorphisms (SNP-based heritability [h

resultsIn total, three novel MD loci were identified (at P < 5 × 10

conclusionsThese findings provide new insights into the genetic basis of MD and biological mechanisms linking MD to breast cancer risk. Apart from identifying three novel loci, we demonstrate that at least 25% of the MD variance is explained by common genetic variation with h

Indexed as

AdultAgedBreastBreast DensityBreast NeoplasmsDNA Mutational AnalysisEstrogen Receptor alphaFemaleGenetic Association StudiesGenetic Predisposition to DiseaseHumansInhibin-beta SubunitsMammographyMiddle AgedPolymorphism, Single NucleotideSerine EndopeptidasesEstrogen Receptor alphaHABP2 protein, humanINHBB protein, humanInhibin-beta SubunitsSerine EndopeptidasesGenetic association studyHeritabilityMammographic density

Identifiers

PMID29665850
PMCPMC5904990
OpenAlexW2804162460

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.