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- Title
Development of a Mathematical Model for Prediction of the Risk of Schizophrenia Based on Assessment of Carrying Polymorphic Alleles in 13 Genetic Loci Affecting Pterin Metabolism.
- Authors
Zhilyaeva, T. V.; Bavrina, A. P.; Kasyanov, E. D.; Blagonravova, A. S.; Mazo, G. E.
- Abstract
Real-time PCR was used to analyze the carriage of alleles in 13 genetic loci that affect pterin metabolism in 116 patients with schizophrenia and 62 healthy volunteers. To analyze the accuracy of predicting the risk of schizophrenia, we used the binary logistic regression method with assessment of the contribution of all loci studied. As a result, a mathematical model was developed that makes it possible to predict the risk of schizophrenia manifestation in a carrier of the combination of the genotypes MTHFD1 1958CC/MTRR 66GG with a probability of 90.6% and MTHFD1 1958CC/MTRR66AG with a probability of 81.9%. The use of this model is expedient in routine psychiatric practice among individuals at high risk of schizophrenia manifestation after replication in other samples and obtaining a larger volume of observations.
- Subjects
MATHEMATICAL models; ALLELES; OLANZAPINE; LOCUS (Genetics); PREDICTION models; METABOLISM
- Publication
Russian Journal of Genetics, 2023, Vol 59, Issue 5, p493
- ISSN
1022-7954
- Publication type
Article
- DOI
10.1134/S1022795423040105