Evidence map›Paper›PMID 38653906›Full record

ArticleBreast cancer research and treatment2024

Disentangling the relationships of body mass index and circulating sex hormone concentrations in mammographic density using Mendelian randomization.

Cameron B Haas, Hongjie Chen, Tabitha Harrison, Shaoqi Fan, Manuela Gago-Dominguez, Jose E Castelao, Manjeet K Bolla, Qin Wang, Joe Dennis, Kyriaki Michailidou and 29 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Breast cancer research and treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

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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

39 authors at 20 institutions in 9 countries.

Cameron B HaasDepartment of Epidemiology, University of Washington, Seattle, WA, USA. Cameron.b.haas@gmail.com.ORCID http://orcid.org/0000-0002-8211-0806
Hongjie ChenDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Tabitha HarrisonDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Shaoqi FanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Manuela Gago-DominguezHealth Research Institute of Santiago de Compostela Foundation (FIDIS), SERGAS, Cancer Genetics and Epidemiology Group, Santiago, Spain.
Jose E CastelaoUnidad de Oncología Genética, Instituto de Investigación Sanitaria, Galicia Sur, Vigo, Spain.
Manjeet K BollaCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Qin WangCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Joe DennisCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Kyriaki MichailidouBiostatistics Unit, The Cyprus Institute of Neurology & Genetics, Nicosia, Cyprus.
Alison M DunningCentre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK.
Douglas F EastonCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Antonis C AntoniouCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Per HallDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Kamila CzeneDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Irene L AndrulisFred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, ON, Canada.
Anna Marie MulliganDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada.
Roger L MilneCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.
Peter A FaschingDepartment of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Lothar HaeberleDepartment of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Montserrat Garcia-ClosasDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Thomas AhearnDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Gretchen L GierachDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Christopher HaimanDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Gertraud MaskarinecPopulation Sciences in the Pacific Program, University of Hawai'i Cancer Center, Honolulu, HI, USA.
Fergus J CouchDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Janet E OlsonDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Esther M JohnDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Geogia Chenevix-TrenchCancer Research Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Amy Berrington de GonzalezDivision of Genetics and Epidemiology, Institute of Cancer Research, London, UK.
Michael JonesDivision of Genetics and Epidemiology, Institute of Cancer Research, London, UK.
Jennifer StoneGenetic Epidemiology Group, School of Population and Global Health, University of Western Australia, Perth, WA, Australia.
Rachel MurphySchool of Population and Public Health, University of British Columbia, Vancouver, BC, Canada.
Kristan J AronsonDivision of Cancer Care and Epidemiology, Department of Community Health and Epidemiology, Queen's University, Kingston, ON, K7L3N6, Canada.
Karen J WernliKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Li HsuDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Celine VachonDivision of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Rulla M TamimiDepartment of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
Sara LindströmDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
University of Cambridge · GBUniversity of Washington · USInstitute of Cancer Research · GBNational Cancer Institute · USInstituto de Investigación Sanitaria de Santiago · ESKarolinska Institutet · SEMayo Clinic in Florida · USThe University of Melbourne · AUUniversitätsklinikum Erlangen · DEBC Cancer Agency · CACape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa · ZACyprus Institute of Neurology and Genetics · CYFred Hutch Cancer Center · USHarvard University · USKaiser Permanente Washington Health Research Institute · USMayo Clinic in Arizona · USMount Sinai Hospital · CAQIMR Berghofer Medical Research Institute · AUQueen's University · CAUniversity Health Network · CA

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TWOROGER, SHELLEY S · 2000 to 2019
$77.8M
The Role of CHFR in Tumorigenesis and Paclitaxel-Sensitivity in Breast CancerP50CA116201 · NCI · MAYO CLINIC ROCHESTER · PI PETER C LUCAS · 2005 to 2026
$49.9M
Understanding Population Differences in Cancer: The MEC StudyU01CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2015 to 2025
$37.4M
GENETIC SUSCEPTIBILITY TO CANCER IN MULTIETHNIC COHORTSR01CA063464 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HENDERSON, BRIAN E · 2001 to 2005
$23.2M
Multiethnic Cohort Study of Diet and CancerR37CA054281 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI KOLONEL, LAURENCE N. · 2003 to 2012
$23.2M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Core-001U01CA164920 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Irene Andrulis, Sarah Violet Colonna · 2018 to 2026
$17.0M
Life Course Cancer Epidemiology Cohort in WomenUM1CA176726 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2013 to 2017
$15.7M
Breast Cancer Family Registry CohortUM1CA164920 · NCI · CANCER PREVENTION INSTIT OF CALIFORNIA · PI ANDRULIS, IRENE, BUYS, SAUNDRA S · 2012 to 2017
$12.7M
Understanding Ethnic Differences in Cancer: The Multiethnic Cohort StudyUM1CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HENDERSON, BRIAN E, LE MARCHAND, LOIC · 2012 to 2014
$11.3M
Characterizing Genetic Susceptibility to Breast and Prostate Cancer; the BPC3U01CA098758 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HENDERSON, BRIAN E · 2003 to 2010
$11.0M
Epidemiologic StudiesU19CA148065 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI AHSAN, HABIBUL, BRUGGE, JOAN SIEFERT · 2010 to 2014
$10.6M
Division of Cancer Epidemiology and Genetics, National Cancer Institute CA244670NCI NIH HHS P01 CA087969NCI NIH HHS P50 CA116201NCI NIH HHS R01 CA054281NCI NIH HHS R01 CA063464NCI NIH HHS R01 CA097396NCI NIH HHS R01 CA116167NCI NIH HHS R01 CA124865NCI NIH HHS R01 CA128931NCI NIH HHS R01 CA128978NCI NIH HHS R01 CA131332NCI NIH HHS R01 CA132839NCI NIH HHS R01 CA140286NCI NIH HHS R01 CA176785NCI NIH HHS R01 CA177150NCI NIH HHS R01 CA192393NCI NIH HHS R01 CA244670NCI NIH HHS R35 CA253187NCI NIH HHS R37 CA054281NCI NIH HHS U01 CA063464NCI NIH HHS U01 CA098758NCI NIH HHS U01 CA164920NCI NIH HHS U01 CA164973NCI NIH HHS U19 CA148065NCI NIH HHS U19 CA148112NCI NIH HHS U19 CA148537NCI NIH HHS UM1 CA164920NCI NIH HHS UM1 CA164973NCI NIH HHS UM1 CA176726NCI NIH HHS UM1 CA186107
6 · The paper itself

Abstract

purposeMammographic density phenotypes, adjusted for age and body mass index (BMI), are strong predictors of breast cancer risk. BMI is associated with mammographic density measures, but the role of circulating sex hormone concentrations is less clear. We investigated the relationship between BMI, circulating sex hormone concentrations, and mammographic density phenotypes using Mendelian randomization (MR).

methodsWe applied two-sample MR approaches to assess the association between genetically predicted circulating concentrations of sex hormones [estradiol, testosterone, sex hormone-binding globulin (SHBG)], BMI, and mammographic density phenotypes (dense and non-dense area). We created instrumental variables from large European ancestry-based genome-wide association studies and applied estimates to mammographic density phenotypes in up to 14,000 women of European ancestry. We performed analyses overall and by menopausal status.

resultsGenetically predicted BMI was positively associated with non-dense area (IVW: β = 1.79; 95% CI = 1.58, 2.00; p = 9.57 × 10

conclusionOur findings support a positive causal association between BMI and mammographic non-dense area and an inverse association between BMI and dense area. Evidence was weaker and inconsistent for a causal effect of circulating sex hormone concentrations on mammographic density phenotypes. Based on our findings, associations between circulating sex hormone concentrations and mammographic density phenotypes are weak at best.

Indexed as

Body Mass IndexBreast DensityBreast NeoplasmsGenome-Wide Association StudyGonadal Steroid HormonesMendelian Randomization AnalysisEstradiolFemaleHumansMammographyMiddle AgedPhenotypePolymorphism, Single NucleotideSex Hormone-Binding GlobulinTestosteroneEstradiolGonadal Steroid HormonesSex Hormone-Binding GlobulinTestosteroneBMIBreast densityCausal inferenceMendelian randomizationSex hormones

Identifiers

PMID38653906
PMCPMC12851615
OpenAlexW4395079708

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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.