Evidence map›Paper›PMID 37420032›Full record

ArticleEuropean archives of psychiatry and clinical neuroscience2024

GWAS of biological aging to find longevity genes in schizophrenia.

Jessica Qian, Corinne Fischer, Amer Burhan, Michael Mak, Philip Gerretsen, Nathan Kolla, Nzaar Al-Chalabi, Zanib Chaudhary, Aisha Qureshey, Ali Bani-Fatemi and 3 more

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Article in European archives of psychiatry and clinical neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

13 authors.

Jessica QianCAMH, 250 College St, Toronto, M5T1R8, Canada.
Corinne FischerSt. Michael's Hospital, Toronto, Canada.
Amer BurhanOntario Shores Centre for Mental Health Sciences, Whitby, Canada.
Michael MakCAMH, 250 College St, Toronto, M5T1R8, Canada.
Philip GerretsenCAMH, 250 College St, Toronto, M5T1R8, Canada.
Nathan KollaCAMH, 250 College St, Toronto, M5T1R8, Canada.
Nzaar Al-ChalabiCAMH, 250 College St, Toronto, M5T1R8, Canada.
Zanib ChaudharyCAMH, 250 College St, Toronto, M5T1R8, Canada.
Aisha QuresheyCAMH, 250 College St, Toronto, M5T1R8, Canada.
Ali Bani-FatemiDepartment of Occupational Science and Occupational Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.
Ariel GraffCAMH, 250 College St, Toronto, M5T1R8, Canada.
Gary RemingtonCAMH, 250 College St, Toronto, M5T1R8, Canada.
Vincenzo De LucaCAMH, 250 College St, Toronto, M5T1R8, Canada. Vincenzo.deluca@camh.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schizophrenia (SCZ) is a severe psychotic disorder associated with premature mortality and aging. Moreover, the symptoms and progression of psychiatric disorders in general are associated with decreased lifespan, biological aging, and poorer medical outcomes. In this study, we investigated the relationship between several epigenetic clocks and scanned the entire genome for association in a cohort of SCZ individuals (n = 107). Biological age was computed from blood DNA methylation (DNAm) and tested for association against  common  variants across the genome using general linear models. Genes affecting epigenetic age acceleration in our cohort were found mainly when using the telomeric length clock rather than the other biological clocks. These findings pair with existing evidence that there are some genes associated with longevity and suggest further investigations of  putative biological mechanisms for morbidity and premature mortality, not only in patients with SCZ but also in the general population.

Indexed as

AgingDNA MethylationGenome-Wide Association StudyLongevitySchizophreniaAdultAgedEpigenesis, GeneticFemaleHumansMaleMiddle AgedBiological ageGWASLongevitySchizophrenia

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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.