Evidence map›Paper›PMID 35726372›Full record

ArticleEpigenetics2022

Does genetic predisposition modify the effect of lifestyle-related factors on DNA methylation?

Chenglong Yu, Allison M Hodge, Ee Ming Wong, Jihoon E Joo, Enes Makalic, Daniel F Schmidt, Daniel D Buchanan, Gianluca Severi, John L Hopper, Dallas R English and 4 more

Abstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Body Size, Diet Quality, and Epigenetic Aging: Cross-Sectional and Longitudinal Analyses.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
  3. Inflammation and Epigenetic Aging Are Largely Independent Markers of Biological Aging and Mortality.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    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

14 authors.

Chenglong YuPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.
Allison M HodgeCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.
Ee Ming WongPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.
Jihoon E JooColorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia.
Enes MakalicCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia.
Daniel F SchmidtCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia.
Daniel D BuchananColorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Parkville, Victoria, Australia.
Gianluca SeveriCentre de Recherche en Epidémiologie et Santé des Populations (CESP, Inserm U1018), Facultés de Médecine Universités Paris-Saclay, Uvsq, Villejuif, France.
John L HopperCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia.
Dallas R EnglishCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.
Graham G GilesPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.
Roger L MilnePrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.
Melissa C SoutheyPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.
Pierre-Antoine DuguéPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.ORCID 0000-0003-2736-3023

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lifestyle-related phenotypes have been shown to be heritable and associated with DNA methylation. We aimed to investigate whether genetic predisposition to tobacco smoking, alcohol consumption, and higher body mass index (BMI) moderates the effect of these phenotypes on blood DNA methylation. We calculated polygenic scores (PGS) to quantify genetic predisposition to these phenotypes using training (

Indexed as

DNA MethylationGenetic Predisposition to DiseaseAlcohol DrinkingBody Mass IndexEpigenesis, GeneticHumansSmokingCpG siteDNA methylationepigenetic ageinggene–environment interactionlifestylepolygenic score

Identifiers

PMID35726372
PMCPMC9621069

What OpenQuestion holds

Textmetadata
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.