Evidence map›Paper›PMID 34461806›Full record

ArticleEpigenetics2022

Human non-CpG methylation patterns display both tissue-specific and inter-individual differences suggestive of underlying function.

Philip Titcombe, Robert Murray, Matthew Hewitt, Elie Antoun, Cyrus Cooper, Hazel M Inskip, Joanna D Holbrook, Keith M Godfrey, Karen Lillycrop, Mark Hanson and 1 more

Open access · hybridAbstract 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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

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  13. Perinatal S-Adenosylmethionine Supplementation RepressesInternational journal of molecular sciences · 2023
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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

11 authors at 3 institutions in 1 country.

Philip TitcombeMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.ORCID 0000-0002-7797-8571
Robert MurrayInstitute of Developmental Sciences, University of Southampton, Southampton, UK.ORCID 0000-0002-2383-1742
Matthew HewittInstitute of Developmental Sciences, University of Southampton, Southampton, UK.
Elie AntounInstitute of Developmental Sciences, University of Southampton, Southampton, UK.ORCID 0000-0002-9477-1564
Cyrus CooperMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.ORCID 0000-0003-3510-0709
Hazel M InskipMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.ORCID 0000-0001-8897-1749
Joanna D HolbrookInstitute of Developmental Sciences, University of Southampton, Southampton, UK.ORCID 0000-0003-1791-6894
Keith M GodfreyMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.ORCID 0000-0002-4643-0618
Karen LillycropInstitute of Developmental Sciences, University of Southampton, Southampton, UK.ORCID 0000-0001-7350-5489
Mark HansonInstitute of Developmental Sciences, University of Southampton, Southampton, UK.ORCID 0000-0002-6907-613X
Sheila J BartonMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.ORCID 0000-0003-4963-4242
University of Southampton · GBMRC Lifecourse Epidemiology Unit · GBUniversity Hospital Southampton NHS Foundation Trust · GB

Funding

Interdisciplinary Research Network on Early Adversity & Later Life ReversibilityU24AG047867 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GODFREY, KEITH, MCEWEN, BRUCE S. · 2014 to 2018
$954k
Medical Research Council G0400491Medical Research Council MC_PC_21000Medical Research Council MC_PC_21001Medical Research Council MC_PC_21003Medical Research Council MC_U147585819Medical Research Council MC_U147585824Medical Research Council MC_U147585827Medical Research Council MC_UP_A620_1014Medical Research Council MC_UU_12011/1Medical Research Council MC_UU_12011/4NIA NIH HHS U24 AG047867Versus Arthritis 17702
6 · The paper itself

Abstract

DNA methylation (DNAm) in mammals is mostly examined within the context of CpG dinucleotides. Non-CpG DNAm is also widespread across the human genome, but the functional relevance, tissue-specific disposition, and inter-individual variability has not been widely studied. Our aim was to examine non-CpG DNAm in the wider methylome across multiple tissues from the same individuals to better understand non-CpG DNAm distribution within different tissues and individuals and in relation to known genomic regulatory features.DNA methylation in umbilical cord and cord blood at birth, and peripheral venous blood at age 12-13 y from 20 individuals from the Southampton Women's Survey cohort was assessed by Agilent SureSelect methyl-seq. Hierarchical cluster analysis (HCA) was performed on CpG and non-CpG sites and stratified by specific cytosine environment. Analysis of tissue and inter-individual variation was then conducted in a second dataset of 12 samples: eight muscle tissues, and four aliquots of cord blood pooled from two individuals.HCA using methylated non-CpG sites showed different clustering patterns specific to the three base-pair triplicate (CNN) sequence. Analysis of CAC sites with non-zero methylation showed that samples clustered first by tissue type, then by individual (as observed for CpG methylation), while analysis using non-zero methylation at CAT sites showed samples grouped predominantly by individual. These clustering patterns were validated in an independent dataset using cord blood and muscle tissue.This research suggests that CAC methylation can have tissue-specific patterns, and that individual effects, either genetic or unmeasured environmental factors, can influence CAT methylation.

Indexed as

DNA MethylationIndividualityAnimalsCpG IslandsCytosineDNAFemaleGenome, HumanHumansMammalsCytosineDNACACCATCHGCHHclusterCNNcomparisonCpGDNA methylationHCAhierarchical clustering analysishumanindividual-specificmethylationmethylation patternsmusclenon-CpGperipheral bloodtissue-specificumbilical cordumbilical cord blood

Identifiers

PMID34461806
PMCPMC9235887
OpenAlexW3185741035

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.