Evidence map›Paper›PMID 33037222›Full record

ArticleNature communications2020

Identification of 31 loci for mammographic density phenotypes and their associations with breast cancer risk.

Weiva Sieh, Joseph H Rothstein, Robert J Klein, Stacey E Alexeeff, Lori C Sakoda, Eric Jorgenson, Russell B McBride, Rebecca E Graff, Valerie McGuire, Ninah Achacoso and 10 more

Abstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

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  12. Causal Effects of Breast Cancer Risk Factors across Hormone Receptor Breast Cancer Subtypes: A Two-Sample Mendelian Randomization Study.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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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

20 authors.

Weiva SiehDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA. weiva.sieh@mssm.edu.ORCID http://orcid.org/0000-0003-0085-1190
Joseph H RothsteinDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Robert J KleinDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0003-3539-5391
Stacey E AlexeeffDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Lori C SakodaDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.ORCID http://orcid.org/0000-0002-0900-5735
Eric JorgensonDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.ORCID http://orcid.org/0000-0002-5829-8191
Russell B McBrideDepartment of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID http://orcid.org/0000-0002-3890-529X
Rebecca E GraffDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0003-0316-8303
Valerie McGuireDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA.
Ninah AchacosoDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Luana ActonDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Rhea Y LiangDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
Jafi A LipsonDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
Daniel L RubinDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-5057-4369
Martin J YaffeDepartments of Medical Biophysics and Medical Imaging, University of Toronto, Toronto, ON, Canada.
Douglas F EastonCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care and Department of Oncology, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-2444-3247
Catherine SchaeferDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.ORCID http://orcid.org/0000-0003-2644-055X
Neil RischDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Alice S WhittemoreDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA.
Laurel A HabelDivision of Research, Kaiser Permanente Northern California, Oakland, CA, USA.

Funding

A Resource for Genetic Epidemiology Research in Adult Health and AgingRC2AG036607 · NIA · KAISER FOUNDATION RESEARCH INSTITUTE · PI RISCH, NEIL J., SCHAEFER, CATHERINE ANN · 2009 to 2010
$24.8M
Epidemiologic StudiesU19CA148065 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI AHSAN, HABIBUL, BRUGGE, JOAN SIEFERT · 2010 to 2014
$10.6M
Genome-Wide Association Study of Mammographic DensityR01CA166827 · NCI · STANFORD UNIVERSITY · PI HABEL, LAUREL A, SIEH, WEIVA · 2012 to 2016
$2.3M
Mammographic Density & Prognosis among Breast Cancer Intrinsic SubtypesR01CA168893 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI HABEL, LAUREL A · 2012 to 2015
$2.1M
Big Omics Data Engine 2 SupercomputerS10OD026880 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2019 to 2019
$2.0M
Genomic and Transcriptomic Analysis of Mammographic DensityR01CA237541 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI HABEL, LAUREL A, SIEH, WEIVA · 2020 to 2023
$2.0M
Genetic Epidemiology of Ovarian and Prostate CancerK07CA143047 · NCI · STANFORD UNIVERSITY · PI SIEH, WEIVA · 2010 to 2014
$867k
Cancer Research UK 17523Cancer Research UK C1287/A10118Cancer Research UK C1287/A10710Cancer Research UK C1287/A16563NCI NIH HHS K07 CA143047NCI NIH HHS R01 CA166827NCI NIH HHS R01 CA168893NCI NIH HHS R01 CA237541NCI NIH HHS U19 CA148065NIA NIH HHS RC2 AG036607NIH HHS S10 OD026880
6 · The paper itself

Abstract

Mammographic density (MD) phenotypes are strongly associated with breast cancer risk and highly heritable. In this GWAS meta-analysis of 24,192 women, we identify 31 MD loci at P < 5 × 10

Indexed as

Breast DensityGenetic Predisposition to DiseaseAdultAgedAged, 80 and overBreast NeoplasmsFemaleGenome-Wide Association StudyHumansMammographyMendelian Randomization AnalysisMiddle AgedPolymorphism, Single Nucleotide

Identifiers

PMID33037222
PMCPMC7547012

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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.