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Associations between mosaic loss and schizophrenia or bipolar disorder of young age

  • Shunsuke Uchiyama
  • , Takeo Saito
  • , Xiaoxi Liu
  • , Yuki Ishikawa
  • , Keiko Hikino
  • , Masashi Ikeda
  • , Giulio Genovese
  • , Nakao Iwata
  • , Chikashi Terao

Research output: Contribution to journalArticlepeer-review

Abstract

Mosaic chromosomal alterations (mCAs) accumulate in the brain tissues and are associated with psychiatric disorders. The association between mCAs in circulating blood and schizophrenia (SCZ) and bipolar disorders (BD) has not been fully evaluated. We detected mCAs from blood samples in 2470 SCZ, 3732 BD, and 177,773 control subjects. The associations between mCAs and SCZ or BD were evaluated using age-adjusted logistic regression models, further evaluated in age subgroups. We analyzed the associations between high cell fraction (CF) mosaic events (CF-mCAs >5% or CF-mCAs >10%) and SCZ or BD in the same way. Furthermore, we assessed the interaction between mCAs and genetic risk scores for SCZ or BD. Autosomal mCAs, especially mosaic loss events, increased in both SCZ and BD (SCZ; OR = 1.78, P = 4.9×10-6, BD; OR = 1.41, P = 0.0025). These associations were highlighted in the young-age subgroup (SCZ; OR = 7.01, P = 1.7×10-16, BD; OR = 4.01, P = 2.9×10-8). In addition, the effect sizes of losses increased in a CF-dependent manner in both SCZ and BD. Loss events with high cell fraction interacted with polygenic risk score in SCZ (P = 0.0098). SCZ or BD were characterized by the presence of a high burden of mosaic losses in blood, especially in young age, suggesting the common somatic pathophysiological mechanisms between these psychiatric diseases. The possible interaction between losses and PRS for SCZ supports the genetic and environmental cross-talk in SCZ.

Original languageEnglish
Pages (from-to)2833-2842
Number of pages10
JournalMolecular Psychiatry
Volume31
Issue number5
DOIs
Publication statusPublished - 05-2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Molecular Biology
  • Psychiatry and Mental health
  • Cellular and Molecular Neuroscience

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