Evidence map›Paper›PMID 30832291›Full record

ReviewGenes2019

Using Openly Accessible Resources to Strengthen Causal Inference in Epigenetic Epidemiology of Neurodevelopment and Mental Health.

Esther Walton, Caroline L Relton, Doretta Caramaschi

Open access · goldAbstract readReview
In one paragraph

Review in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 4 pooled it
0.9field-weighted citation impact, top 28% 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

15 citing papers in PubMed, 4 syntheses or guidelines pooled it, 23 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Esther WaltonMedical Research Council Integrative Epidemiology Unit, University of Bristol, BS8 2BN Bristol, UK. esther.walton@bristol.ac.uk.
Caroline L ReltonMedical Research Council Integrative Epidemiology Unit, University of Bristol, BS8 2BN Bristol, UK. caroline.relton@bristol.ac.uk.
Doretta CaramaschiMedical Research Council Integrative Epidemiology Unit, University of Bristol, BS8 2BN Bristol, UK. d.caramaschi@bristol.ac.uk.
University of Bristol · GB

Funding

Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_00011/5Medical Research Council MC_UU_12013/2
6 · The paper itself

Abstract

The recent focus on the role of epigenetic mechanisms in mental health has led to several studies examining the association of epigenetic processes with psychiatric conditions and neurodevelopmental traits. Some studies suggest that epigenetic changes might be causal in the development of the psychiatric condition under investigation. However, other scenarios are possible, e.g., statistical confounding or reverse causation, making it particularly challenging to derive conclusions on causality. In the present review, we examine the evidence from human population studies for a possible role of epigenetic mechanisms in neurodevelopment and mental health and discuss methodological approaches on how to strengthen causal inference, including the need for replication, (quasi-)experimental approaches and Mendelian randomization. We signpost openly accessible resources (e.g., "MR-Base" "EWAS catalog" as well as tissue-specific methylation and gene expression databases) to aid the application of these approaches.

Indexed as

Epigenesis, GeneticGenetics, PopulationHumansMental DisordersMental HealthNeurodevelopmental DisordersOpen Access Publishingcausal inferenceDNA methylationepigeneticsMendelian randomizationmental healthneurodevelopment

Identifiers

PMID30832291
PMCPMC6470715
OpenAlexW2918363102

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.