Evidence map›Paper›PMID 36656803›Full record

ReviewPLoS genetics2023

Using epigenomics to understand cellular responses to environmental influences in diseases.

Julia J Wattacheril, Srilakshmi Raj, David A Knowles, John M Greally

Open access · goldAbstract readReview
In one paragraph

Review in PLoS genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Epigenomic insights into common human disease pathology.Cellular and molecular life sciences : CMLS · 2024
    Review
  5. New Challenges for Anatomists in the Era of Omics.Diagnostics (Basel, Switzerland) · 2023
    Review
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

4 authors at 3 institutions in 1 country.

Julia J WattacherilDepartment of Medicine, Center for Liver Disease and Transplantation, Columbia University Irving Medical Center, New York Presbyterian Hospital, New York, New York, United States of America.
Srilakshmi RajDivision of Genomics, Department of Genetics, Albert Einstein College of Medicine, Bronx, New York, United States of America.
David A KnowlesNew York Genome Center, New York, New York, United States of America.
John M GreallyDivision of Genomics, Department of Genetics, Albert Einstein College of Medicine, Bronx, New York, United States of America.ORCID 0000-0001-6069-7960
Albert Einstein College of Medicine · USNew York Genome Center · USNewYork–Presbyterian Hospital · US

Funding

Translational Research CoreP30DK020541 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY E. PESSIN · 2015 to 2026
$27.7M
SUPPORT FOR THE ROSE F KENNEDY IDDRC P50P50HD105352 · NICHD · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI SOPHIE MOLHOLM, Steven Upshaw Walkley · 2021 to 2026
$7.0M
UNDERSTANDING CELLULAR AND TRANSCRIPTIONAL REGULATORY CHANGES IN HUMAN AGINGR01AG057422 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI GREALLY, JOHN, LAPPALAINEN, TUULI · 2018 to 2022
$4.5M
NIA NIH HHS R01 AG057422NICHD NIH HHS P50 HD105352NIDDK NIH HHS P30 DK020541
6 · The paper itself

Abstract

It is a generally accepted model that environmental influences can exert their effects, at least in part, by changing the molecular regulators of transcription that are described as epigenetic. As there is biochemical evidence that some epigenetic regulators of transcription can maintain their states long term and through cell division, an epigenetic model encompasses the idea of maintenance of the effect of an exposure long after it is no longer present. The evidence supporting this model is mostly from the observation of alterations of molecular regulators of transcription following exposures. With the understanding that the interpretation of these associations is more complex than originally recognised, this model may be oversimplistic; therefore, adopting novel perspectives and experimental approaches when examining how environmental exposures are linked to phenotypes may prove worthwhile. In this review, we have chosen to use the example of nonalcoholic fatty liver disease (NAFLD), a common, complex human disease with strong environmental and genetic influences. We describe how epigenomic approaches combined with emerging functional genetic and single-cell genomic techniques are poised to generate new insights into the pathogenesis of environmentally influenced human disease phenotypes exemplified by NAFLD.

Indexed as

Non-alcoholic Fatty Liver DiseaseEnvironmental ExposureEpigenesis, GeneticEpigenomicsHumansPhenotype

Identifiers

PMID36656803
PMCPMC9851565
OpenAlexW4317438841

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.