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Genome-wide analysis identifies pleiotropic genes shared between severe mental disorders and biomarkers of cellular aging

A study · Molecular psychiatry · Oct 26, 2026

What this means

Severe mental disorders such as bipolar disorder (BD), major depressive disorder (MDD) and schizophrenia (SZ) are characterized by reduced life expectancy, premature mortality and alterations of aging biomarkers, leading to hypothesize that they might be associated with accelerated cellular aging. We quantified the genetic overlap between severe mental disorders and a comprehensive set of aging biomarkers including multivariate longevity and healthy aging (mvAge), brain age gap (BAG), leucocyte telomere length (gLTL), mitochondrial DNA copy number and epigenetic age acceleration (gEAA) using cutting-edge methods, and evaluated their functional enrichment and suitability as drug targets.

A plain-English summary is on its way. Until then, this is the start of the authors' own summary.

Tested inNot stated
Who it was tested in
Not stated
Kind of research
A study

The science

Original title
Genome-wide analysis identifies pleiotropic genes shared between severe mental disorders and biomarkers of cellular aging.
Authors
Pisanu C, Nishioka M, Manchia M et al.
Journal
Molecular psychiatry
Published
Oct 26, 2026
Study type
Study

Abstract

Severe mental disorders such as bipolar disorder (BD), major depressive disorder (MDD) and schizophrenia (SZ) are characterized by reduced life expectancy, premature mortality and alterations of aging biomarkers, leading to hypothesize that they might be associated with accelerated cellular aging. We quantified the genetic overlap between severe mental disorders and a comprehensive set of aging biomarkers including multivariate longevity and healthy aging (mvAge), brain age gap (BAG), leucocyte telomere length (gLTL), mitochondrial DNA copy number and epigenetic age acceleration (gEAA) using cutting-edge methods, and evaluated their functional enrichment and suitability as drug targets. All disorders were negatively correlated with mvAge. Further, MDD correlated negatively with gLTL and positively with gEAA. We identified several pleiotropic variants, with nine genes (AC068490.2, ASIC2, CNNM2, FURIN, GPM6A, HS6ST3, RP5-1043L13.1, SORCS3 and SP4) containing variants shared between aging biomarkers and all disorders. Functional analyses with summary-data-based Mendelian randomization showed that increased expression of the druggable gene CRHR1 in the prefrontal cortex was associated with increased risk of MDD and BAG measures. Our findings suggest that shared heritability might contribute to reduced longevity and healthy aging in severe mental disorders and identify pleiotropic genes involved in synaptic function and metabolic processes related to micronutrients such as folate and magnesium.

Read it on PubMed ↗

Pisanu C, Nishioka M, Manchia M et al. Genome-wide analysis identifies pleiotropic genes shared between severe mental disorders and biomarkers of cellular aging. Molecular psychiatry. 2026. doi:10.1038/s41380-026-03946-0. PMID: 42928374. https://pubmed.ncbi.nlm.nih.gov/42928374/

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