Mathematical Modeling of Influence of the Genotype on Cell Processes by Statistical Analysis

This article describes the mathematical modeling of the relationship between genotype and phenotype using statistical methods. The results of the study of cells of laboratory mice are used as the initial data. To build a relationship model, methods of correlation analysis, cluster analysis, ANOVA and its modification - QTL analysis are used. Graph theory is used to model the interaction of proteins in cellular processes. The QTL mapping idea is to phenotype observation and identification of the genome region on which the genotype is associated with the phenotype. With the help of molecular-genetic markers, molecular maps of individual chromosomes and genomes are made, genes and QTLs mapping are performed on them. Thus, genes with the greatest connectivity to phenotype were identified. The correlation between genotype and phenotype is studied across the full genome of the individual in this study. The data provided by the Laboratory of Molecular Genetics of the innate immunity of Petrozavodsk State University were the initial data in this research. The essence of the project, carried out jointly with the laboratory, is to study the arrays of genetic information to identify and model the relationships between the genotype and the phenotype of biological organisms. Genotyping and phenotyping were conducted based on sequencing data (determination of amino acid and nucleotide sequence) of matrix RNA. The result of the study is the construction of a mathematical model of the relationship between phenotype and genotype and the identification of groups of significant phenotypes that affect the cells processes.