Evidence map›Paper›PMID 36477627›Full record

ArticleNature communications2022

Quantifying the role of transcript levels in mediating DNA methylation effects on complex traits and diseases.

Marie C Sadler, Chiara Auwerx, Kaido Lepik, Eleonora Porcu, Zoltán Kutalik

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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  6. Article
  7. Article
  8. Epigenomic insights into common human disease pathology.Cellular and molecular life sciences : CMLS · 2024
    Review
  9. Article
  10. Article
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  17. Promises and challenges in pharmacoepigenetics.Cambridge prisms. Precision medicine · 2023
    Review
  18. Article
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

5 authors at 1 institution in 1 country.

Marie C SadlerUniversity Center for Primary Care and Public Health, Lausanne, Switzerland. marie.sadler@unil.ch.ORCID 0000-0002-2599-9207
Chiara AuwerxUniversity Center for Primary Care and Public Health, Lausanne, Switzerland.ORCID 0000-0003-3613-8450
Kaido LepikUniversity Center for Primary Care and Public Health, Lausanne, Switzerland.
Eleonora PorcuUniversity Center for Primary Care and Public Health, Lausanne, Switzerland.ORCID 0000-0003-2878-7485
Zoltán KutalikUniversity Center for Primary Care and Public Health, Lausanne, Switzerland. zoltan.kutalik@unil.ch.ORCID 0000-0001-8285-7523
SIB Swiss Institute of Bioinformatics · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-dimensional omics datasets provide valuable resources to determine the causal role of molecular traits in mediating the path from genotype to phenotype. Making use of molecular quantitative trait loci (QTL) and genome-wide association study (GWAS) summary statistics, we propose a multivariable Mendelian randomization (MVMR) framework to quantify the proportion of the impact of the DNA methylome (DNAm) on complex traits that is propagated through the assayed transcriptome. Evaluating 50 complex traits, we find that on average at least 28.3% (95% CI: [26.9%-29.8%]) of DNAm-to-trait effects are mediated through (typically multiple) transcripts in the cis-region. Several regulatory mechanisms are hypothesized, including methylation of the promoter probe cg10385390 (chr1:8'022'505) increasing the risk for inflammatory bowel disease by reducing PARK7 expression. The proposed integrative framework can be extended to other omics layers to identify causal molecular chains, providing a powerful tool to map and interpret GWAS signals.

Indexed as

DNA MethylationMultifactorial InheritanceGenome-Wide Association Study

Identifiers

PMID36477627
PMCPMC9729239
OpenAlexW4311586037

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.