Evidence map›Paper›PMID 35608069›Full record

ArticleEpigenetics2022

Large-scale integration of DNA methylation and gene expression array platforms identifies both

Eva E Lancaster, Vladimir I Vladimirov, Brien P Riley, Joseph W Landry, Roxann Roberson-Nay, Timothy P York

Open access · greenAbstract read
In one paragraph

Article in Epigenetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 45% 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, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. New Insights and Potential Therapeutic Interventions in Metabolic Diseases.International journal of molecular sciences · 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

6 authors at 2 institutions in 1 country.

Eva E LancasterDepartment of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0002-7371-8094
Vladimir I VladimirovDepartment of Psychiatry, Texas A&M University, College Station, TX, USA.
Brien P RileyDepartment of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0002-2408-8268
Joseph W LandryDepartment of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA.
Roxann Roberson-NayDepartment of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0002-1037-3121
Timothy P YorkDepartment of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0003-4068-4286
Virginia Commonwealth University · USTexas A&M University · US

Funding

VCU NIMHD Comprehensive Center of Excellence (Project 1; PI: Strauss)P60MD002256 · NIMHD · VIRGINIA COMMONWEALTH UNIVERSITY · PI BRADLEY, CATHY J · 2007 to 2016
$13.1M
Center for Clinical and Translational ResearchUL1TR000058 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI MOELLER, FREDERICK GERARD · 2012 to 2015
$12.5M
Assessing miRNA expression in the Corticolimbic System of Major Depressive DisorderR01MH118239 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI VLADIMIROV, VLADIMIR IVANOV · 2019 to 2024
$2.8M
Genetic Contributions of Negative Valence Systems to Internalizing PathwaysR01MH101518 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI ROBERSON-NAY, ROXANN · 2013 to 2016
$2.3M
Genome-wide Gene Expression Profiling of Early-Onset Major DepressionR21MH106924 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI ROBERSON-NAY, ROXANN · 2015 to 2016
$419k
NCATS NIH HHS UL1 TR000058NIMHD NIH HHS P60 MD002256NIMH NIH HHS R01 MH101518NIMH NIH HHS R01 MH118239NIMH NIH HHS R21 MH106924
6 · The paper itself

Abstract

Although epigenome-wide association studies (EWAS) have been successful in identifying DNA methylation (DNAm) patterns associated with disease states, any further characterization of etiologic mechanisms underlying disease remains elusive. This knowledge gap does not originate from a lack of DNAm-trait associations, but rather stems from study design issues that affect the interpretability of EWAS results. Despite known limitations in predicting the function of a particular CpG site, most EWAS maintain the broad assumption that altered DNAm results in a concomitant change of transcription at the most proximal gene. This study integrated DNAm and gene expression (GE) measurements in two cohorts, the Adolescent and Young Adult Twin Study (AYATS) and the Pregnancy, Race, Environment, Genes (PREG) study, to improve the understanding of epigenomic regulatory mechanisms. CpG sites associated with GE in

Indexed as

DNA MethylationEpigenesis, GeneticAdolescentEpigenomicsFemaleGene ExpressionGenome-Wide Association StudyHumansPregnancyTranscription FactorsTwin Studies as TopicYoung AdultTranscription Factorsdata integrationDNA methylationEpigeneticsgene expressionmulti-omicstranscriptional regulation

Identifiers

PMID35608069
PMCPMC9621057
OpenAlexW4282937509

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.