Evidence map›Paper›PMID 38503926›Full record

SynthesisMolecular psychiatry2024

Sex effects on DNA methylation affect discovery in epigenome-wide association study of schizophrenia.

Markos Tesfaye, Leticia M Spindola, Anne-Kristin Stavrum, Alexey Shadrin, Ingrid Melle, Ole A Andreassen, Stephanie Le Hellard

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Molecular psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  8. Article
  9. Beyond Binary Policy: Precision Medicine Requires Sex-Inclusive Research.BJOG : an international journal of obstetrics and gynaecology · 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

7 authors at 2 institutions in 1 country.

Markos Tesfaye *NORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway. m.t.woldeyohannes@medisin.uio.no.ORCID 0000-0002-3351-701X
Leticia M Spindola *NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway.ORCID 0000-0002-8399-878X
Anne-Kristin StavrumNORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway.ORCID 0000-0002-5482-1141
Alexey ShadrinNORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Ingrid MelleNORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway.ORCID 0000-0002-9783-548X
Ole A AndreassenNORMENT, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway.ORCID 0000-0002-4461-3568
Stephanie Le HellardNORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway. Stephanie.LeHellard@uib.no.ORCID 0000-0002-8085-051X
Oslo University Hospital · NOHaukeland University Hospital · NO

Funding

Norges Forskningsråd (Research Council of Norway) 273291, 273446, 326813, 223273
6 · The paper itself

Abstract

Sex differences in the epidemiology and clinical characteristics of schizophrenia are well-known; however, the molecular mechanisms underlying these differences remain unclear. Further, the potential advantages of sex-stratified meta-analyses of epigenome-wide association studies (EWAS) of schizophrenia have not been investigated. Here, we performed sex-stratified EWAS meta-analyses to investigate whether sex stratification improves discovery, and to identify differentially methylated regions (DMRs) in schizophrenia. Peripheral blood-derived DNA methylation data from 1519 cases of schizophrenia (male n = 989, female n = 530) and 1723 controls (male n = 997, female n = 726) from three publicly available datasets, and the TOP cohort were meta-analyzed to compare sex-specific, sex-stratified, and sex-adjusted EWAS. The predictive power of each model was assessed by polymethylation score (PMS). The number of schizophrenia-associated differentially methylated positions identified was higher for the sex-stratified model than for the sex-adjusted one. We identified 20 schizophrenia-associated DMRs in the sex-stratified analysis. PMS from sex-stratified analysis outperformed that from sex-adjusted analysis in predicting schizophrenia. Notably, PMSs from the sex-stratified and female-only analyses, but not those from sex-adjusted or the male-only analyses, significantly predicted schizophrenia in males. The findings suggest that sex-stratified EWAS meta-analyses improve the identification of schizophrenia-associated epigenetic changes and highlight an interaction between sex and schizophrenia status on DNA methylation. Sex-specific DNA methylation may have potential implications for precision psychiatry and the development of stratified treatments for schizophrenia.

Indexed as

DNA MethylationEpigenesis, GeneticEpigenomeGenome-Wide Association StudySchizophreniaCase-Control StudiesCpG IslandsEpigenomicsFemaleGenetic Predisposition to DiseaseHumansMaleSex Factors

Identifiers

PMID38503926
PMCPMC11412896
OpenAlexW4392951749

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.