COMT gene polymorphism and antipsychotic- induced hyperprolactinemia in schizophrenia patients

Svetlana Ivanova, Diana Paderina, Anastasiia Boiko, Olga Fedorenko, Ivan Pozhidaev, Vladimir Tigunsev, Elena Kornetova, Nikolay Bokhan, Bob Wilffert, Anton Loonen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Hyperprolactinemia (HPRL) is considered to be a frequent and typical adverse drug reaction caused by antipsychotic medications first and foremost due to excessive dopamine D2 receptors blockade. The aim is to study the set of polymorphisms of genes encoding neurotransmitter synthesis and metabolism enzymes COMT, TPH1 and TPH2 in schizophrenia inpatients. A comprehensive examination of 446 schizophrenia inpatients, aged 18-75 years, was conducted. Genotyping of DNA samples in patients with or without HPRL was carried out for 14 polymorphisms of COMT, TPH1, and TPH2 genes. We revealed an association between carriership of the COMT rs165774* G allele and HPRL. As a result of the study, a regression model was designed to predict the risk of developing HPRL in schizophrenia inpatients, taking into account age, gender, and treatment duration, the dosage of drugs in chlorpromazine equivalents as independent covariates and genotypes of the studied polymorphisms.

Original languageEnglish
Title of host publicationProceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages80-84
Number of pages5
ISBN (Electronic)9781728195971
DOIs
Publication statusPublished - Jul 2020
Event2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020 - Novosibirsk, Russian Federation
Duration: 6 Jul 202010 Jul 2020

Publication series

NameProceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020

Conference

Conference2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020
CountryRussian Federation
CityNovosibirsk
Period6.7.2010.7.20

Keywords

  • COMT
  • gene polymorphism
  • hyperprolactinemia
  • schizophrenia

ASJC Scopus subject areas

  • Information Systems
  • Decision Sciences (miscellaneous)
  • Cognitive Neuroscience
  • Health Informatics
  • Genetics
  • Artificial Intelligence
  • Computer Science Applications

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