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

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

Аннотация

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.

Язык оригиналаАнглийский
Название основной публикацииProceedings - 2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020
ИздательInstitute of Electrical and Electronics Engineers Inc.
Страницы80-84
Число страниц5
ISBN (электронное издание)9781728195971
DOI
СостояниеОпубликовано - июл 2020
Событие2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020 - Novosibirsk, Российская Федерация
Продолжительность: 6 июл 202010 июл 2020

Серия публикаций

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

Конференция

Конференция2020 Cognitive Sciences, Genomics and Bioinformatics, CSGB 2020
СтранаРоссийская Федерация
ГородNovosibirsk
Период6.7.2010.7.20

ASJC Scopus subject areas

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

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