Evidence map›Paper›PMID 24895409›Full record

SynthesisHuman molecular genetics2014

Post-GWAS gene-environment interplay in breast cancer: results from the Breast and Prostate Cancer Cohort Consortium and a meta-analysis on 79,000 women.

Myrto Barrdahl, Federico Canzian, Amit D Joshi, Ruth C Travis, Jenny Chang-Claude, Paul L Auer, Susan M Gapstur, Mia Gaudet, W Ryan Diver, Brian E Henderson and 32 more

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in Human molecular genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 3 pooled it
4.4field-weighted citation impact, top 5% 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

29 citing papers in PubMed, 3 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Update on the relationship between theThe Journal of international medical research · 2023
    Pooled it
  2. Genetic Variation and Hot Flashes: A Systematic Review.The Journal of clinical endocrinology and metabolism · 2020
    Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Incorporating Alternative Polygenic Risk Scores into the BOADICEA Breast Cancer Risk Prediction Model.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  7. Field cancerization in breast cancer.The Journal of pathology · 2022
    Review
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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

42 authors at 20 institutions in 11 countries.

Myrto BarrdahlDivision of Cancer Epidemiology and.
Federico CanzianGenomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg D-69120, Germany.
Amit D JoshiDepartment of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA.
Ruth C TravisCancer Epidemiology Unit, University of Oxford, Oxford OX3 7LF, UK.
Jenny Chang-ClaudeDivision of Cancer Epidemiology and.
Paul L AuerPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA School of Public Health, University of Wisconsin, Milwaukee, WI 1240, USA.
Susan M GapsturDepartment of Epidemiology, American Cancer Society, Atlanta, GA 30303, USA.
Mia GaudetDepartment of Epidemiology, American Cancer Society, Atlanta, GA 30303, USA.
W Ryan DiverDepartment of Epidemiology, American Cancer Society, Atlanta, GA 30303, USA.
Brian E HendersonDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Christopher A HaimanDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Fredrick R SchumacherDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Loïc Le MarchandCancer Center, University of Hawaii, Honolulu, HI 96813, USA.
Christine D BergDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
Stephen J ChanockDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
Robert N HooverDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
Anja RudolphDivision of Cancer Epidemiology and.
Regina G ZieglerDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA.
Graham G GilesCancer Epidemiology Centre Melbourne, Cancer Council Victoria, Carlton South, VIC 3004, Australia Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, School of Population Health, The University of Melbourne, Melbourne, VIC 3010, Australia Faculty of Medicine, Monash University, Melbourne, VIC 3800, Australia.
Laura BagliettoCancer Epidemiology Centre Melbourne, Cancer Council Victoria, Carlton South, VIC 3004, Australia Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, School of Population Health, The University of Melbourne, Melbourne, VIC 3010, Australia.
Gianluca SeveriCancer Epidemiology Centre Melbourne, Cancer Council Victoria, Carlton South, VIC 3004, Australia Centre for Molecular, Environmental, Genetic and Analytic Epidemiology, School of Population Health, The University of Melbourne, Melbourne, VIC 3010, Australia.
Susan E HankinsonDepartment of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA Division of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA 01003-9304, USA.
Sara LindströmDepartment of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA.
Walter WilletDepartment of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA.
David J HunterDepartment of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA.
Julie E BuringDepartment of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA.
I-Min LeeDepartment of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA.
Shumin ZhangDepartment of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA.
Laure DossusINSERM, Centre for Research in Epidemiology and Population Health, Institut Gustave Roussy, Villejuif F-94805, France Paris South University, Villejuif F-94807, France.
David G CoxSchool of Public Health, Imperial College London, London SW7 2AZ, UK Université de Lyon, Université Lyon 1, ISPB, Lyon F-69007, France INSERM U1052, CNRS UMR5286, Centre de Recherche en Cancérologie de Lyon, Lyon F-69008, France Centre Léon Bérard, Lyon F-69008, France.
Kay-Tee KhawDepartment of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge CB2 0SP, UK.
Eiliv LundInstitute of Community Medicine, University of Tromsø, Tromsø N-9037, Norway.
Alessio NaccaratiMolecular and Genetic Epidemiology Unit, Human Genetics Foundation Torino, Torino I-10126, Italy.
Petra H PeetersSchool of Public Health, Imperial College London, London SW7 2AZ, UK Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht 3584 CS, The Netherlands.
J Ramón QuirósPublic Health Directorate, Asturias ES-CP33006, Spain.
Elio RiboliSchool of Public Health, Imperial College London, London SW7 2AZ, UK.
Malin SundDepartment of Surgical and Perioperative Sciences, Surgery, Umeå University, Umeå S-90185, Sweden.
Dimitrios TrichopoulosDepartment of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA Bureau of Epidemiologic Research, Academy of Athens, Athens 10679, Greece Hellenic Health Foundation, Athens 11527, Greece.
Ross L PrenticePublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Peter KraftDepartment of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA.
Rudolf KaaksDivision of Cancer Epidemiology and.
Daniele CampaDivision of Cancer Epidemiology and d.campa@dkfz.de.
Harvard University · USAmerican Cancer Society · USUniversity of Southern California · USDivision of Cancer Epidemiology and GeneticsFred Hutch Cancer Center · USImperial College London · GBNational Cancer Institute · USUniversity of Melbourne · AUAcademy of Athens · GRGobierno del Principado de Asturias · ESHeidelberg University · DEInserm · FRItalian institute for Genomic Medicine · ITMonash University · AUUiT The Arctic University of Norway · NOUmeå University · SEUniversité Claude Bernard Lyon 1 · FRUniversity of Cambridge · GBUniversity of Hawaii System · USUniversity of Oxford · GB

Funding

University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI GERTRAUD MASKARINEC · 1996 to 2026
$56.2M
Characterizing Genetic Susceptibility to Breast and Prostate Cancer; the BPC3U01CA098758 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HENDERSON, BRIAN E · 2003 to 2010
$11.0M
Characterizing Genetic Susceptibility to Breast and Prostate Cancer; the BPC3U01CA098233 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI HUNTER, DAVID JOHN · 2003 to 2010
$10.8M
Epidemiologic StudiesU19CA148065 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI AHSAN, HABIBUL, BRUGGE, JOAN SIEFERT · 2010 to 2014
$10.6M
Characterizing Genetic Susceptibility to Breast and Prostate Cancer; the BPC3U01CA098216 · NCI · INTERNATIONAL AGENCY FOR RES ON CANCER · PI RIBOLI, ELIO · 2003 to 2011
$7.4M
Characterizing Genetic Susceptibility to Breast and Prostate Cancer: The BPC3.U01CA098710 · NCI · AMERICAN CANCER SOCIETY, INC. · PI GAPSTUR, SUSAN M · 2003 to 2011
$4.2M
Cancer Research UK 14136Cancer Research UK 16491Intramural NIH HHSMedical Research Council G0401527Medical Research Council G1000143NCI NIH HHS P30 CA071789NCI NIH HHS U01 CA098216NCI NIH HHS U01 CA098233NCI NIH HHS U01 CA098710NCI NIH HHS U01 CA098758NCI NIH HHS U01-CA98216-06NCI NIH HHS U01-CA98233-07NCI NIH HHS U01-CA98710-06NCI NIH HHS U01-CA98758-07NCI NIH HHS U19 CA148065NCI NIH HHS U19-CA148065
6 · The paper itself

Abstract

We studied the interplay between 39 breast cancer (BC) risk SNPs and established BC risk (body mass index, height, age at menarche, parity, age at menopause, smoking, alcohol and family history of BC) and prognostic factors (TNM stage, tumor grade, tumor size, age at diagnosis, estrogen receptor status and progesterone receptor status) as joint determinants of BC risk. We used a nested case-control design within the National Cancer Institute's Breast and Prostate Cancer Cohort Consortium (BPC3), with 16 285 BC cases and 19 376 controls. We performed stratified analyses for both the risk and prognostic factors, testing for heterogeneity for the risk factors, and case-case comparisons for differential associations of polymorphisms by subgroups of the prognostic factors. We analyzed multiplicative interactions between the SNPs and the risk factors. Finally, we also performed a meta-analysis of the interaction ORs from BPC3 and the Breast Cancer Association Consortium. After correction for multiple testing, no significant interaction between the SNPs and the established risk factors in the BPC3 study was found. The meta-analysis showed a suggestive interaction between smoking status and SLC4A7-rs4973768 (Pinteraction = 8.84 × 10(-4)) which, although not significant after considering multiple comparison, has a plausible biological explanation. In conclusion, in this study of up to almost 79 000 women we can conclusively exclude any novel major interactions between genome-wide association studies hits and the epidemiologic risk factors taken into consideration, but we propose a suggestive interaction between smoking status and SLC4A7-rs4973768 that if further replicated could help our understanding in the etiology of BC.

Indexed as

Gene-Environment InteractionGenome-Wide Association StudyAllelesBiomarkers, TumorBreast NeoplasmsCase-Control StudiesChromosome MappingFemaleGenetic Predisposition to DiseaseGenotypeHumansPolymorphism, Single NucleotideRiskBiomarkers, Tumor

Identifiers

PMID24895409
PMCPMC4159150
OpenAlexW2161116593

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.