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Genetic Variants Within Molecular Targets of Antipsychotic Treatment: Effects on Treatment Response, Schizophrenia Risk, and Psychopathological Features

  • Marco Calabrò
  • , Stefano Porcelli
  • , Concetta Crisafulli
  • , Sheng Min Wang
  • , Soo Jung Lee
  • , Changsu Han
  • , Ashwin A. Patkar
  • , Prakash S. Masand
  • , Diego Albani
  • , Ilaria Raimondi
  • , Gianluigi Forloni
  • , Sofia Bin
  • , Carlotta Cristalli
  • , Vilma Mantovani
  • , Chi Un Pae
  • , Alessandro Serretti
  • University of Messina
  • University of Bologna
  • The Catholic University of Korea, College of Medicine
  • Korea University
  • Duke University
  • Global Medical Education
  • Duke-NUS Medical School
  • IRCCS Istituto di ricerche farmacologiche Mario Negri - Milano, Bergamo, Ranica
  • Policlinico S. Orsola-Malpighi

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Schizophrenia (SCZ) is a common and severe mental disorder. Genetic factors likely play a role in its pathophysiology as well as in treatment response. In the present study, we investigated the effects of several single nucleotide polymorphisms (SNPs) within 9 genes involved with antipsychotic (AP) mechanisms of action. Two independent samples were recruited. The Korean sample included 176 subjects diagnosed with SCZ and 326 healthy controls, while the Italian sample included 83 subjects and 194 controls. AP response as measured by the positive and negative syndrome scale (PANSS) was the primary outcome, while the secondary outcome was the SCZ risk. Exploratory analyses were performed on (1) symptom clusters response (as measured by PANSS subscales); (2) age of onset; (3) family history; and (4) suicide history. Associations evidenced in the primary analyses did not survive to the FDR correction. Concerning SCZ risk, we partially confirmed the associations among COMT and MAPK1 genetic variants and SCZ. Finally, our exploratory analysis suggested that CHRNA7 and HTR2A genes may modulate both positive and negative symptoms responses, while PLA2G4A and SIGMAR1 may modulate respectively positive and negative symptoms responses. Moreover, GSK3B, HTR2A, PLA2G4A, and S100B variants may determine an anticipation of SCZ age of onset. Our results did not support a primary role for the genes investigated in AP response as a whole. However, our exploratory findings suggested that these genes may be involved in symptom clusters response.

Original languageEnglish
Pages (from-to)62-74
Number of pages13
JournalJournal of Molecular Neuroscience
Volume64
Issue number1
DOIs
StatePublished - 1 Jan 2018

Bibliographical note

Publisher Copyright:
© 2017, Springer Science+Business Media, LLC, part of Springer Nature.

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

Keywords

  • Antipsychotics
  • Deep phenotyping
  • Genetics
  • Schizophrenia

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