Analytic method for predicting body weight increase caused by treating schizophrenia through second-generation antipsychotic based on polygene combination interactive effect

Abstract

The invention discloses an analysis method for predicting body weight increase caused by treating schizophrenia through a second-generation antipsychotic based on the polygene combination interactiveeffect. The method comprises the steps that a sample is prepared for collecting peripheral blood of a patient with body weight increase caused by treating schizophrenia through the second-generation antipsychotic, a hypotonic salt fractionation method is used for extracting a genome DNA sample; a MODLI-TOF flight mass spectrum detecting method is used for performing genetic typing of a 5-HT2CR gene, a histamine 1 receptor gene, an oxytocin gene, an NPY / R gene, a Leptin gene, an adiponectin gene, an FGF21 gene and a FGF23 gene; data analysis and extraction are performed, instrument original data is aligned, data with no noise interference for statistic analysis is obtained, a generalized multi-factor dimension reduction method is used for performing the quantitative trait gene-gene interaction effect, crossed verification is further applied, and the gene interaction effect is used for predicting body weight increase. By adopting the generalized multi-factor dimension reduction method, the continuous ending variable is processed, covariance is introduced, and the method has the advantages of greatly enlarging the application range and greatly increasing the prediction accuracy.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to an analysis method for predicting weight gain in the treatment of schizophrenia by second-generation antipsychotic drugs based on multi-gene combination interaction. Background technique [0002] Second-generation antischizophrenia drugs often lead to abnormal glucose and lipid metabolism, obesity and other estrogen-like side effects, such as lactation, Adam's apple shrinkage, erectile dysfunction, etc., thus reducing the patient's medication compliance and quality of life , excessive weight gain may increase cardiovascular disease and diabetes-related morbidity and mortality, and increase the risk of metabolic syndrome in schizophrenia. [0003] At present, multiple gene genetic polymorphisms have been found to be associated with weight gain caused by second-generation antipsychotic drugs at home and abroad. For the prediction of weight gain in the treatment of chronic schizoph...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide an analysis method for predicting weight gain caused by the treatment of schizophrenia with second-generation antipsychotic drugs based on the interaction of multiple genes. The generalized multi-factor dimensionality reduction method is used to deal with continuous outcome variables, and covariates are included. Its application range and prediction accuracy have been greatly improved, so as to solve the problem that the model cannot truly and effectively reflect the genetic polymorphism information and the selection of markers is biased

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