Evidence map›Paper›PMID 24014485›Full record

ArticleHuman molecular genetics2014

Epigenetics meets metabolomics: an epigenome-wide association study with blood serum metabolic traits.

Ann-Kristin Petersen, Sonja Zeilinger, Gabi Kastenmüller, Werner Römisch-Margl, Markus Brugger, Annette Peters, Christine Meisinger, Konstantin Strauch, Christian Hengstenberg, Philipp Pagel and 8 more

Open access · hybridAbstract read
In one paragraph

Article in Human molecular genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed, 4 pooled it
10.5field-weighted citation impact, top 1% 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

102 citing papers in PubMed, 4 syntheses or guidelines pooled it, 189 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Epigenetics and human obesity.International journal of obesity (2005) · 2015
    Pooled it
  5. Trial
  6. Trial
  7. Trial
  8. Trial
  9. Review
  10. Article
  11. Article
  12. Article
  13. Metaboepigenetic regulation of gene expression in obesity and insulin resistance.Metabolomics : Official journal of the Metabolomic Society · 2024
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Epigenetic and Metabolic Regulation of Macrophages during Gout.Gout, urate, and crystal deposition disease · 2023
    Article

42 more citing papers are in PubMed but not listed here.

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

18 authors at 7 institutions in 6 countries.

Ann-Kristin PetersenInstitute of Genetic Epidemiology.
Sonja Zeilinger
Gabi Kastenmüller
Werner Römisch-Margl
Markus Brugger
Annette Peters
Christine Meisinger
Konstantin Strauch
Christian Hengstenberg
Philipp Pagel
Fritz Huber
Robert P Mohney
Harald Grallert
Thomas Illig
Jerzy Adamski
Melanie Waldenberger
Christian Gieger
Karsten Suhre
MRC Epidemiology Unit · GBInstitute of Bioinformatics and Systems Biology · DEZimmer Biomet (Netherlands) · NLHelmholtz Zentrum München · DEMedizinische Hochschule Hannover · DETriangle · USUniversity Hospital Regensburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previously, we reported strong influences of genetic variants on metabolic phenotypes, some of them with clinical relevance. Here, we hypothesize that DNA methylation may have an important and potentially independent effect on human metabolism. To test this hypothesis, we conducted what is to the best of our knowledge the first epigenome-wide association study (EWAS) between DNA methylation and metabolic traits (metabotypes) in human blood. We assess 649 blood metabolic traits from 1814 participants of the Kooperative Gesundheitsforschung in der Region Augsburg (KORA) population study for association with methylation of 457 004 CpG sites, determined on the Infinium HumanMethylation450 BeadChip platform. Using the EWAS approach, we identified two types of methylome-metabotype associations. One type is driven by an underlying genetic effect; the other type is independent of genetic variation and potentially driven by common environmental and life-style-dependent factors. We report eight CpG loci at genome-wide significance that have a genetic variant as confounder (P = 3.9 × 10(-20) to 2.0 × 10(-108), r(2) = 0.036 to 0.221). Seven loci display CpG site-specific associations to metabotypes, but do not exhibit any underlying genetic signals (P = 9.2 × 10(-14) to 2.7 × 10(-27), r(2) = 0.008 to 0.107). We further identify several groups of CpG loci that associate with a same metabotype, such as 4-vinylphenol sulfate and 4-androsten-3-beta,17-beta-diol disulfate. In these cases, the association between CpG-methylation and metabotype is likely the result of a common external environmental factor, including smoking. Our study shows that analysis of EWAS with large numbers of metabolic traits in large population cohorts are, in principle, feasible. Taken together, our data suggest that DNA methylation plays an important role in regulating human metabolism.

Indexed as

DNA MethylationEpigenesis, GeneticGenome-Wide Association StudyMetabolomeAdultAgedBloodCpG IslandsFemaleGene-Environment InteractionGene Expression RegulationGenetic VariationGenome, HumanHumansMaleMetabolomics

Identifiers

PMID24014485
PMCPMC3869358
OpenAlexW2132289378

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.