Evidence map›Paper›PMID 36600305›Full record

ArticleClinical epigenetics2023

Methylation in MAD1L1 is associated with the severity of suicide attempt and phenotypes of depression.

Aleksandr V Sokolov, Diana-Maria Manu, Didi O T Nordberg, Adrian D E Boström, Jussi Jokinen, Helgi B Schiöth

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 26 citations in OpenAlex.

  1. Early-life internalizing behavioral trajectories and childhood-onset asthma: An epigenetic link.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2026
    Article
  2. Article
  3. Article
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  5. Epigenetic Mechanisms of Suicidal Behavior Formation: A Review.Medical journal of the Islamic Republic of Iran · 2026
    Review
  6. Article
  7. Article
  8. Genome-wide methylome-based molecular pathologies associated with depression and suicide.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Investigating the Relationship Between DNA Methylation, Genetic Variation, and Suicide Attempt in Bipolar Disorder.Archives of suicide research : official journal of the International Academy for Suicide Research
    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

6 authors at 2 institutions in 1 country.

Aleksandr V SokolovDepartment of Surgical Sciences, Functional Pharmacology and Neuroscience, Uppsala University, Uppsala, Sweden.
Diana-Maria ManuDepartment of Surgical Sciences, Functional Pharmacology and Neuroscience, Uppsala University, Uppsala, Sweden.
Didi O T NordbergDepartment of Surgical Sciences, Functional Pharmacology and Neuroscience, Uppsala University, Uppsala, Sweden.
Adrian D E BoströmDepartment of Clinical Sciences/Psychiatry, Umeå University, Umeå, Sweden.
Jussi JokinenDepartment of Clinical Sciences/Psychiatry, Umeå University, Umeå, Sweden.
Helgi B SchiöthDepartment of Surgical Sciences, Functional Pharmacology and Neuroscience, Uppsala University, Uppsala, Sweden. Helgi.Schioth@neuro.uu.se.
Uppsala University · SEKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression is a multifactorial disorder representing a significant public health burden. Previous studies have linked multiple single nucleotide polymorphisms with depressive phenotypes and suicidal behavior. MAD1L1 is a mitosis metaphase checkpoint protein that has been linked to depression in GWAS. Using a longitudinal EWAS approach in an adolescent cohort at two time points (n = 216 and n = 154), we identified differentially methylated sites that were associated with depression-related genetic variants in MAD1L1. Three methylation loci (cg02825527, cg18302629, and cg19624444) were consistently hypomethylated in the minor allele carriers, being cross-dependent on several SNPs. We further investigated whether DNA methylation at these CpGs is associated with depressive psychiatric phenotypes in independent cohorts. The first site (cg02825527) was hypomethylated in blood (exp(β) = 84.521, p value ~ 0.003) in participants with severe suicide attempts (n = 88). The same locus showed increased methylation in glial cells (exp(β) = 0.041, p value ~ 0.004) in the validation cohort, involving 29 depressed patients and 29 controls, and showed a trend for association with suicide (n = 40, p value ~ 0.089) and trend for association with depression treatment (n = 377, p value ~ 0.075). The second CpG (cg18302629) was significantly hypomethylated in depressed participants (exp(β) = 56.374, p value ~ 0.023) in glial cells, but did not show associations in the discovery cohorts. The last methylation site (cg19624444) was hypomethylated in the whole blood of severe suicide attempters; however, this association was at the borderline for statistical significance (p value ~ 0.061). This locus, however, showed a strong association with depression treatment in the validation cohort (exp(β) = 2.237, p value ~ 0.003) with 377 participants. The direction of associations between psychiatric phenotypes appeared to be different in the whole blood in comparison with brain samples for cg02825527 and cg19624444. The association analysis between methylation at cg18302629 and cg19624444 and MAD1L1 transcript levels in CD

Indexed as

Cell Cycle ProteinsDepressionDNA MethylationSuicide, AttemptedBrainGenome-Wide Association StudyHumansPhenotypeCell Cycle ProteinsMAD1L1 protein, humanDepressionDNA methylationMAD1L1Suicide

Identifiers

PMID36600305
PMCPMC9811786
OpenAlexW4313545751

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Registered trials

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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.