Evidence map›Paper›PMID 30286806›Full record

ArticleClinical epigenetics2018

Inverse association between estrogen receptor-α DNA methylation and breast composition in adolescent Chilean girls.

Alexandra M Binder, Leah T Stiemsma, Kristen Keller, Sanne D van Otterdijk, Verónica Mericq, Ana Pereira, José L Santos, John Shepherd, Karin B Michels

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Night Shift Work, DNA Methylation and Telomere Length: An Investigation on Hospital Female Nurses.International journal of environmental research and public health · 2019
    Article
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

9 authors at 5 institutions in 3 countries.

Alexandra M BinderDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, 90095, USA.
Leah T StiemsmaDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, 90095, USA.
Kristen KellerDepartment of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, 90095, USA.
Sanne D van OtterdijkInstitute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg im Breisgau, Germany.
Verónica MericqInstitute of Nutrition and Food Technology, University of Chile, Santiago, Chile.
Ana PereiraInstitute of Nutrition and Food Technology, University of Chile, Santiago, Chile.
José L SantosDepartment of Nutrition, Diabetes and Metabolism, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
John ShepherdPopulation Sciences in the Pacific Program, University of Hawaii Cancer Center, Honolulu, HI, 96813, USA.
Karin B MichelsDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, 90095, USA. k.michels@ucla.edu.
University of California, Los Angeles · USUniversity of Chile · CLPontificia Universidad Católica de Chile · CLUniversity of Freiburg · DEUniversity of Hawaii System · US

Funding

UCLA CANCER EPIDEMIOLOGY TRAINING PROGRAMT32CA009142 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ZHANG, ZUO-FENG · 1986 to 2024
$6.3M
Environmental chemicals and postpubertal breast composition in a Latino cohortU01ES026130 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BRODY, JULIA GREEN, CORVALAN, CAMILA · 2015 to 2019
$4.4M
Predictors of Mammary Gland Development & Breast Fibroglandular Volume at pubertyR01CA158313 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MICHELS, KARIN B · 2012 to 2015
$1.9M
NCI NIH HHS R01 CA158313NCI NIH HHS T32 CA009142NIEHS NIH HHS U01 ES026130
6 · The paper itself

Abstract

backgroundEstrogen receptor-α (ER-α) is a transcriptional regulator, which mediates estrogen-dependent breast development, as well as breast tumorigenesis. The influence of epigenetic regulation of ER-α on adolescent breast composition has not been previously studied and could serve as a marker of pubertal health and susceptibility to breast cancer. We investigated the association between ER-α DNA methylation in leukocytes and breast composition in adolescent Chilean girls enrolled in the Growth and Obesity Cohort Study (GOCS) in Santiago, Chile. Breast composition (total breast volume (BV; cm

resultsAfter adjusting for fat percentage at breast density measurement, ER-α methylation at B2, and cellular heterogeneity, we observed an inverse association between B4 average ER-α DNA methylation and BV and FGV. Geometric mean BV was 15% lower (95% CI: - 28%, - 1%) among girls in the highest quartile of B4 ER-α methylation (6.96-23.60%) relative to the lowest (0.78-3.37%). Similarly, FGV was 19% lower (95% CI: - 33%, - 2%) among girls in the highest quartile of B4 ER-α methylation relative to the lowest. The association between ER-α methylation and breast composition was not significantly modified by body fat percentage and was not influenced by pubertal timing.

conclusionsThese findings suggest that the methylation profile of ER-α may modulate adolescent response to estrogen and breast composition, which may influence breast cancer risk in adulthood.

Indexed as

DNA MethylationAdolescentBreastBreast DensityChileCohort StudiesEpigenesis, GeneticEstrogen Receptor alphaFemaleHumansPromoter Regions, GeneticSequence Analysis, DNAESR1 protein, humanEstrogen Receptor alphaBreast densityDNA methylationEpigeneticsEstrogen receptor-αFibroglandular volume

Identifiers

PMID30286806
PMCPMC6172836
OpenAlexW2895512858

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.