Evidence map›Paper›PMID 29057891›Full record

ArticleScientific reports2017

Exhaustive search for epistatic effects on the human methylome.

Tobias Egli, Vanja Vukojevic, Thierry Sengstag, Martin Jacquot, Rubén Cabezón, David Coynel, Virginie Freytag, Angela Heck, Christian Vogler, Dominique J-F de Quervain and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Tobias EgliDivision of Molecular Neuroscience, Department of Psychology, University of Basel, CH-4055, Basel, Switzerland.
Vanja VukojevicDivision of Molecular Neuroscience, Department of Psychology, University of Basel, CH-4055, Basel, Switzerland.
Thierry SengstagsciCORE, Scientific Computing Center, University of Basel, CH-4056, Basel, Switzerland.ORCID 0000-0002-7516-6246
Martin JacquotsciCORE, Scientific Computing Center, University of Basel, CH-4056, Basel, Switzerland.
Rubén CabezónsciCORE, Scientific Computing Center, University of Basel, CH-4056, Basel, Switzerland.ORCID 0000-0003-3546-3964
David CoynelTransfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, CH-4055, Basel, Switzerland.ORCID 0000-0001-5028-5807
Virginie FreytagDivision of Molecular Neuroscience, Department of Psychology, University of Basel, CH-4055, Basel, Switzerland.
Angela HeckDivision of Molecular Neuroscience, Department of Psychology, University of Basel, CH-4055, Basel, Switzerland.
Christian VoglerDivision of Molecular Neuroscience, Department of Psychology, University of Basel, CH-4055, Basel, Switzerland.ORCID 0000-0003-3922-109X
Dominique J-F de QuervainTransfaculty Research Platform Molecular and Cognitive Neurosciences, University of Basel, CH-4055, Basel, Switzerland.
Andreas PapassotiropoulosDivision of Molecular Neuroscience, Department of Psychology, University of Basel, CH-4055, Basel, Switzerland.
Annette MilnikDivision of Molecular Neuroscience, Department of Psychology, University of Basel, CH-4055, Basel, Switzerland. annette.milnik@unibas.ch.ORCID 0000-0002-3933-3289

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies assessing the existence and magnitude of epistatic effects on complex human traits provide inconclusive results. The study of such effects is complicated by considerable increase in computational burden, model complexity, and model uncertainty, which in concert decrease model stability. An additional source introducing significant uncertainty with regard to the detection of robust epistasis is the biological distance between the genetic variation and the trait under study. Here we studied CpG methylation, a genetically complex molecular trait that is particularly close to genomic variation, and performed an exhaustive search for two-locus epistatic effects on the CpG-methylation signal in two cohorts of healthy young subjects. We detected robust epistatic effects for a small number of CpGs (N = 404). Our results indicate that epistatic effects explain only a minor part of variation in DNA-CpG methylation. Interestingly, these CpGs were more likely to be associated with gene-expression of nearby genes, as also shown by their overrepresentation in DNase I hypersensitivity sites and underrepresentation in CpG islands. Finally, gene ontology analysis showed a significant enrichment of these CpGs in pathways related to HPV-infection and cancer.

Indexed as

DNA MethylationEpigenesis, GeneticAdolescentAdultCohort StudiesCpG IslandsFemaleGenetic Association StudiesHumansMalePolymorphism, Single NucleotideYoung Adult

Identifiers

PMID29057891
PMCPMC5651902

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.