Evidence map›Paper›PMID 28234020›Full record

ArticleEpigenomics2017

Epigenome-wide cross-tissue predictive modeling and comparison of cord blood and placental methylation in a birth cohort.

Margherita M De Carli, Andrea A Baccarelli, Letizia Trevisi, Ivan Pantic, Kasey Jm Brennan, Michele R Hacker, Holly Loudon, Kelly J Brunst, Robert O Wright, Rosalind J Wright and 1 more

Abstract read
In one paragraph

Article in Epigenomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Epigenetic Alterations of Maternal Tobacco Smoking during Pregnancy: A Narrative Review.International journal of environmental research and public health · 2021
    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

11 authors.

Margherita M De CarliDepartment of Environmental Medicine & Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Andrea A BaccarelliDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
Letizia TrevisiDepartment of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA.
Ivan PanticDepartment of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA.
Kasey Jm BrennanDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
Michele R HackerDepartment of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA.
Holly LoudonDepartment of Obstetrics & Gynecology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Kelly J BrunstDepartment of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Robert O WrightDepartment of Environmental Medicine & Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Rosalind J WrightDepartment of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Allan C JustDepartment of Environmental Medicine & Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
The Mount Sinai Transdisciplinary Center on Early Environmental ExposuresP30ES023515 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Robert O Wright · 2014 to 2026
$21.3M
BPA, Phthalates & Stress: Mechanisms and Interactions for Childhood ObesityR01ES021357 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI BACCARELLI, ANDREA, WRIGHT, ROBERT O · 2012 to 2016
$3.3M
Perinatal Programming of Infant Stress Reactivity and the Atopic PhenotypeR01HL095606 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI BOSQUET ENLOW, MICHELLE A, WRIGHT, ROSALIND J · 2010 to 2013
$3.1M
Prenatal stress and epigenetic programming of the HPA axis and autonomic balanceR01HL114396 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WRIGHT, ROSALIND J · 2012 to 2015
$2.8M
Novel Epigenomic Biomarkers of Prenatal Risk Factors, and Childhood ObesityR01NR013945 · NINR · HARVARD SCHOOL OF PUBLIC HEALTH · PI BACCARELLI, ANDREA · 2013 to 2015
$1.6M
Prenatal Exposure to Endocrine Disrupters, DNA Methylation, and Childhood ObesityR00ES023450 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI JUST, ALLAN C. · 2016 to 2018
$747k
NHLBI NIH HHS R01 HL095606NHLBI NIH HHS R01 HL114396NIEHS NIH HHS P30 ES023515NIEHS NIH HHS R00 ES023450NIEHS NIH HHS R01 ES021357NINR NIH HHS R01 NR013945
6 · The paper itself

Abstract

aimWe compared predictive modeling approaches to estimate placental methylation using cord blood methylation. MATERIALS &

methodsWe performed locus-specific methylation prediction using both linear regression and support vector machine models with 174 matched pairs of 450k arrays.

resultsAt most CpG sites, both approaches gave poor predictions in spite of a misleading improvement in array-wide correlation. CpG islands and gene promoters, but not enhancers, were the genomic contexts where the correlation between measured and predicted placental methylation levels achieved higher values. We provide a list of 714 sites where both models achieved an R

conclusionThe present study indicates the need for caution in interpreting cross-tissue predictions. Few methylation sites can be predicted between cord blood and placenta.

Indexed as

DNA MethylationEpigenesis, GeneticGenome, HumanModels, GeneticCpG IslandsEnhancer Elements, GeneticFemaleFetal BloodHumansPlacentaPregnancyPromoter Regions, GeneticSupport Vector Machine450k arrayscord bloodDNA methylationepigeneticsmethylation predictionplacentasupport vector machine

Identifiers

PMID28234020
PMCPMC5331917

What OpenQuestion holds

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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.