Meta-analysis of epigenetic aging in schizophrenia reveals multifaceted relationships with age, sex, illness duration, and polygenic risk

Meta-analysis of epigenetic aging in schizophrenia reveals multifaceted relationships with age, sex, illness duration, and polygenic risk

Abstract Background The study of biological age acceleration may help identify at-risk individuals and reduce the rising global burden of age-related diseases. Using DNA methylation (DNAm) clocks, we investigated biological aging in schizophrenia (SCZ), a mental illness that is associated with an in...

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Bibliographic Details
Main Authors: Anil P. S. Ori, Loes M. Olde Loohuis, Jerry Guintivano, Eilis Hannon, Emma Dempster, David St. Clair, Nick J. Bass, Andrew McQuillin, Jonathan Mill, Patrick F. Sullivan, Rene S. Kahn, Steve Horvath, Roel A. Ophoff
Format: Article
Language:English
Published: BMC 2024-04-01
Series:Clinical Epigenetics
Subjects:
Schizophrenia
DNA methylation
Aging
Epigenetic clocks
Biological aging
Accelerated aging
Online Access:https://doi.org/10.1186/s13148-024-01660-8

Internet

https://doi.org/10.1186/s13148-024-01660-8

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