Evidence map›Paper›PMID 32345361›Full record

ArticleGenome medicine2020

Exploratory analysis of age and sex dependent DNA methylation patterns on the X-chromosome in whole blood samples.

Shuxia Li, Jesper B Lund, Kaare Christensen, Jan Baumbach, Jonas Mengel-From, Torben Kruse, Weilong Li, Afsaneh Mohammadnejad, Alison Pattie, Riccardo E Marioni and 2 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 7% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

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  12. DNA methylation signatures of early-life adversity are exposure-dependent in wild baboons.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

12 authors at 4 institutions in 3 countries.

Shuxia LiEpidemiology and Biostatistics, Department of Public Health, Faculty of Health Science, University of Southern Denmark, J. B. Winsløws Vej 9B, DK-5000, Odense C, Denmark.ORCID 0000-0001-8095-3175
Jesper B LundEpidemiology and Biostatistics, Department of Public Health, Faculty of Health Science, University of Southern Denmark, J. B. Winsløws Vej 9B, DK-5000, Odense C, Denmark.ORCID 0000-0001-9483-1603
Kaare ChristensenEpidemiology and Biostatistics, Department of Public Health, Faculty of Health Science, University of Southern Denmark, J. B. Winsløws Vej 9B, DK-5000, Odense C, Denmark.ORCID 0000-0002-5429-5292
Jan BaumbachChair of Experimental Bioinformatics, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany.
Jonas Mengel-FromEpidemiology and Biostatistics, Department of Public Health, Faculty of Health Science, University of Southern Denmark, J. B. Winsløws Vej 9B, DK-5000, Odense C, Denmark.
Torben KruseUnit of Human Genetics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
Weilong LiEpidemiology and Biostatistics, Department of Public Health, Faculty of Health Science, University of Southern Denmark, J. B. Winsløws Vej 9B, DK-5000, Odense C, Denmark.
Afsaneh MohammadnejadEpidemiology and Biostatistics, Department of Public Health, Faculty of Health Science, University of Southern Denmark, J. B. Winsløws Vej 9B, DK-5000, Odense C, Denmark.
Alison PattieDepartment of Psychology, University of Edinburgh, Edinburgh, Scotland, UK.
Riccardo E MarioniCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland, UK.ORCID 0000-0003-4430-4260
Ian J DearyDepartment of Psychology, University of Edinburgh, Edinburgh, Scotland, UK.
Qihua TanEpidemiology and Biostatistics, Department of Public Health, Faculty of Health Science, University of Southern Denmark, J. B. Winsløws Vej 9B, DK-5000, Odense C, Denmark. qtan@health.sdu.dk.ORCID 0000-0003-3194-0030
University of Southern Denmark · DKNHS Lothian · GBTechnical University of Munich · DEUniversity of Edinburgh · GB

Funding

Medical Research Council G0700704Medical Research Council MR/K026992/1
6 · The paper itself

Abstract

backgroundLarge numbers of autosomal sites are found differentially methylated in the aging genome. Due to analytical difficulties in dealing with sex differences in X-chromosome content and X-inactivation (XCI) in females, this has not been explored for the X chromosome.

methodsUsing data from middle age to elderly individuals (age 55+ years) from two Danish cohorts of monozygotic twins and the Scottish Lothian Birth Cohort 1921, we conducted an X-chromosome-wide analysis of age-associated DNA methylation patterns with consideration of stably inferred XCI status.

resultsThrough analysing and comparing sex-specific X-linked DNA methylation changes over age late in life, we identified 123, 293 and 55 CpG sites significant (FDR < 0.05) only in males, only in females and in both sexes of Danish twins. All findings were significantly replicated in the two Danish twin cohorts. CpG sites escaping XCI are predominantly de-methylated with increasing age across cohorts. In contrast, CpGs highly methylated in both sexes are methylated even further with increasing age. Among the replicated sites in Danish samples, 16 (13%), 24 (8.2%) and 3 (5.5%) CpGs were further validated in LBC1921 (FDR < 0.05).

conclusionsThe X-chromosome of whole blood leukocytes displays age- and sex-dependent DNA methylation patterns in relation to XCI across cohorts.

Indexed as

Chromosomes, Human, XDNA MethylationSex CharacteristicsAgedAgingFemaleHumansLeukocytesMaleMiddle AgedTwins, MonozygoticAgingDNA methylationTwinsWhole bloodX-chromosomeX-inactivation

Identifiers

PMID32345361
PMCPMC7189689
OpenAlexW3020254640

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.