Evidence map›Paper›PMID 34403484›Full record

ArticleNucleic acids research2021

Autosomal sex-associated co-methylated regions predict biological sex from DNA methylation.

Evan Gatev, Amy M Inkster, Gian Luca Negri, Chaini Konwar, Alexandre A Lussier, Anne Skakkebaek, Marla B Sokolowski, Claus H Gravholt, Erin C Dunn, Michael S Kobor and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

36 citing papers in PubMed, 37 citations in OpenAlex.

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  9. Designing Epigenetic Clocks for Wildlife Research.Molecular ecology resources · 2025
    Review
  10. Sex differences in DNA methylation in bats.Annals of the New York Academy of Sciences · 2025
    Article
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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 3 countries.

Evan GatevInstitute of Molecular Biology "Roumen Tsanev", Bulgarian Academy of Sciences, Sofia 1113, Bulgaria.
Amy M InksterBC Children's Hospital Research Institute Vancouver, British Columbia V5Z 4H4, Canada.
Gian Luca NegriCanada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, British Columbia V5Z 1L3, Canada.
Chaini KonwarBC Children's Hospital Research Institute Vancouver, British Columbia V5Z 4H4, Canada.
Alexandre A LussierCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA.
Anne SkakkebaekDepartment of Clinical Genetics, Aarhus University Hospital, Aarhus 8200, Denmark.ORCID 0000-0001-9178-4901
Marla B SokolowskiDepartment of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON M5S 3B2, Canada.
Claus H GravholtDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus 8200, Denmark.ORCID 0000-0001-5924-1720
Erin C DunnCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA.
Michael S KoborBC Children's Hospital Research Institute Vancouver, British Columbia V5Z 4H4, Canada.
Maria J AristizabalBC Children's Hospital Research Institute Vancouver, British Columbia V5Z 4H4, Canada.ORCID 0000-0002-4491-6147
University of British Columbia · CABroad Institute · USQueen's University · CA

Funding

Childhood adversity, DNA methylation, and risk for depression: A longitudinal study of sensitive periods in developmentR01MH113930 · NIMH · PURDUE UNIVERSITY · PI Erin Cathleen Dunn · 2017 to 2026
$6.6M
CIHRMedical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009NIMH NIH HHS R01 MH113930Wellcome Trust
6 · The paper itself

Abstract

Sex is a modulator of health that has been historically overlooked in biomedical research. Recognizing this knowledge gap, funding agencies now mandate the inclusion of sex as a biological variable with the goal of stimulating efforts to illuminate the molecular underpinnings of sex biases in health and disease. DNA methylation (DNAm) is a strong molecular candidate for mediating such sex biases; however, a robust and well characterized annotation of sex differences in DNAm is yet to emerge. Beginning with a large (n = 3795) dataset of DNAm profiles from normative adult whole blood samples, we identified, validated and characterized autosomal sex-associated co-methylated genomic regions (sCMRs). Strikingly, sCMRs showed consistent sex differences in DNAm over the life course and a subset were also consistent across cell, tissue and cancer types. sCMRs included sites with known sex differences in DNAm and links to health conditions with sex biased effects. The robustness of sCMRs enabled the generation of an autosomal DNAm-based predictor of sex with 96% accuracy. Testing this tool on blood DNAm profiles from individuals with sex chromosome aneuploidies (Klinefelter [47,XXY], Turner [45,X] and 47,XXX syndrome) revealed an intimate relationship between sex chromosomes and sex-biased autosomal DNAm.

Indexed as

DNA MethylationChromosomesCpG IslandsFemaleHumansMaleSex Chromosome Disorders of Sex DevelopmentSex Determination Processes

Identifiers

PMID34403484
PMCPMC8450084
OpenAlexW3195539560

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.