Evidence map›Paper›PMID 30452450›Full record

ArticlePLoS genetics2018

Genetic variants influence on the placenta regulatory landscape.

Fabien Delahaye, Catherine Do, Yu Kong, Remi Ashkar, Martha Salas, Ben Tycko, Ronald Wapner, Francine Hughes

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 50 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 3 pooled it
3.2field-weighted citation impact, top 7% 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

50 citing papers in PubMed, 3 syntheses or guidelines pooled it, 76 citations in OpenAlex.

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  20. Placental accelerated aging in antenatal depression.American journal of obstetrics & gynecology MFM · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Fabien DelahayeDepartment of Genetics, Albert Einstein College of Medicine, Bronx, New York, United States of America.ORCID 0000-0002-9921-8653
Catherine DoDepartment of Biomedical Research, Division of Genetics & Epigenetics, Hackensack-Meridian Health Center for Discovery and Innovation, Nutley, New Jersey, United States of America.
Yu KongDepartment of Genetics, Albert Einstein College of Medicine, Bronx, New York, United States of America.
Remi AshkarDepartment of Biomedical Research, Division of Genetics & Epigenetics, Hackensack-Meridian Health Center for Discovery and Innovation, Nutley, New Jersey, United States of America.
Martha SalasDepartment of Biomedical Research, Division of Genetics & Epigenetics, Hackensack-Meridian Health Center for Discovery and Innovation, Nutley, New Jersey, United States of America.
Ben TyckoDepartment of Biomedical Research, Division of Genetics & Epigenetics, Hackensack-Meridian Health Center for Discovery and Innovation, Nutley, New Jersey, United States of America.
Ronald WapnerDepartment of Obstetrics and Gynecology, Columbia University, New York, New York, United States of America.
Francine HughesDepartment of Obstetrics and Gynecology, NYU Langone Health, New York, New York, United States of America.
Hackensack Meridian Health · USAlbert Einstein College of Medicine · USColumbia University · USNYU Langone Health · US

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
NICHD NIH HHS HHSN275200800002CNICHD NIH HHS HHSN275200800002INICHD NIH HHS HHSN275200800003CNICHD NIH HHS HHSN275200800003INICHD NIH HHS HHSN275200800012CNICHD NIH HHS HHSN275200800013CNICHD NIH HHS HHSN275200800014CNICHD NIH HHS HHSN275200800028CNICHD NIH HHS HHSN275201000009CNIEHS NIH HHS P30 ES009089
6 · The paper itself

Abstract

From genomic association studies, quantitative trait loci analysis, and epigenomic mapping, it is evident that significant efforts are necessary to define genetic-epigenetic interactions and understand their role in disease susceptibility and progression. For this reason, an analysis of the effects of genetic variation on gene expression and DNA methylation in human placentas at high resolution and whole-genome coverage will have multiple mechanistic and practical implications. By producing and analyzing DNA sequence variation (n = 303), DNA methylation (n = 303) and mRNA expression data (n = 80) from placentas from healthy women, we investigate the regulatory landscape of the human placenta and offer analytical approaches to integrate different types of genomic data and address some potential limitations of current platforms. We distinguish two profiles of interaction between expression and DNA methylation, revealing linear or bimodal effects, reflecting differences in genomic context, transcription factor recruitment, and possibly cell subpopulations. These findings help to clarify the interactions of genetic, epigenetic, and transcriptional regulatory mechanisms in normal human placentas. They also provide strong evidence for genotype-driven modifications of transcription and DNA methylation in normal placentas. In addition to these mechanistic implications, the data and analytical methods presented here will improve the interpretability of genome-wide and epigenome-wide association studies for human traits and diseases that involve placental functions.

Indexed as

Genetic VariationAdolescentAdultBinding SitesCpG IslandsDNA MethylationEpigenesis, GeneticFemaleGene Expression ProfilingGene Expression RegulationGenome, HumanGenome-Wide Association StudyGenotypeHumansPlacentaPolymorphism, Single NucleotideTranscription Factors

Identifiers

PMID30452450
PMCPMC6277118
OpenAlexW2895364897

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.