Evidence map›Paper›PMID 37189164›Full record

ArticleGenome biology2023

Phenome-wide analyses identify an association between the parent-of-origin effects dependent methylome and the rate of aging in humans.

Chenhao Gao, Carmen Amador, Rosie M Walker, Archie Campbell, Rebecca A Madden, Mark J Adams, Xiaomeng Bai, Ying Liu, Miaoxin Li, Caroline Hayward and 7 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2023. 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
0.5field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

17 authors at 6 institutions in 2 countries.

Chenhao GaoFaculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.ORCID 0000-0001-7958-5379
Carmen AmadorMRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Rosie M WalkerCentre for Clinical Brain Sciences, Chancellor's Building, 49 Little France Crescent, Edinburgh BioQuarter, Edinburgh, UK.
Archie CampbellCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Rebecca A MaddenDivision of Psychiatry, University of Edinburgh, Edinburgh, UK.
Mark J AdamsDivision of Psychiatry, University of Edinburgh, Edinburgh, UK.
Xiaomeng BaiFaculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.
Ying LiuFaculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.
Miaoxin LiZhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.
Caroline HaywardMRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
David J PorteousCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Xueyi ShenDivision of Psychiatry, University of Edinburgh, Edinburgh, UK.
Kathryn L EvansCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Chris S HaleyMRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Andrew M McIntoshDivision of Psychiatry, University of Edinburgh, Edinburgh, UK.
Pau NavarroMRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK. pau.navarro@ed.ac.uk.
Yanni ZengFaculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China. zengyn5@mail.sysu.edu.cn.ORCID 0000-0003-3507-5611
Sun Yat-sen University · CNUniversity of Edinburgh · GBEdinburgh Cancer Research · GBInstitute of Genetics and Cancer · GBRoslin Institute · GBUniversity of Exeter · GB

Funding

5/7 Psychiatric Genomics Consortium: Advancing Discovery and ImpactR01MH124873 · NIMH · CARDIFF UNIVERSITY · PI LEWIS, CATHRYN, O'DONOVAN, MICHAEL · 2021 to 2025
$2.6M
Medical Research Council MC_PC_U127592696Medical Research Council MC_UU_00007/10Medical Research Council MR/W014386/1NIH HHS R01MH124873NIMH NIH HHS R01 MH124873Wellcome TrustWellcome Trust 104036/Z/14/ZWellcome Trust 220857/Z/20/Z
6 · The paper itself

Abstract

backgroundThe variation in the rate at which humans age may be rooted in early events acting through the genomic regions that are influenced by such events and subsequently are related to health phenotypes in later life. The parent-of-origin-effect (POE)-regulated methylome includes regions enriched for genetically controlled imprinting effects (the typical type of POE) and regions influenced by environmental effects associated with parents (the atypical POE). This part of the methylome is heavily influenced by early events, making it a potential route connecting early exposures, the epigenome, and aging. We aim to test the association of POE-CpGs with early and later exposures and subsequently with health-related phenotypes and adult aging.

resultsWe perform a phenome-wide association analysis for the POE-influenced methylome using GS:SFHS (N

conclusionsThese results identify the association between the atypical POE-influenced methylome and aging and provide new evidence for the "early development of origin" hypothesis for aging in humans.

Indexed as

AgingEpigenomeAdultCpG IslandsDNA MethylationEpigenesis, GeneticEpigenomicsGenomicsHumansPhenotypeAgingAtypical parent-of-origin effectDNAmTL accelerationIntelligenceLifestyleMaternal smoking exposure

Identifiers

PMID37189164
PMCPMC10184337
OpenAlexW4376610481

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.