METHOD FOR PREDICTING GENETICALLY DETERMINISTIC HUMAN DISEASES

摘要

FIELD: medicine. ^ SUBSTANCE: method involves determining patient acetylation phenotype and predicting disease from table data built in advance. The table has morbidity coefficients for predicting diseases under prognosis and mortality rates caused by the diseases in groups of countries where rapid acetylators are predominant in more than 50% of population and in countries where slow acetylators are predominant in more than 50% of population in various age-specific life intervals. Prognosed diseases risks and lethal outcome risks caused by those diseases in given age intervals are determined from the values of the coefficients. The risks are predicted in the cases when said coefficient values corresponding to patient phenotype and sex are greater than the same coefficients of opposite phenotype of the same sex with authenticity level equal to or less than 0.05. Clinical course severity is additionally estimated in said age intervals depending on patient phenotype. Acetylation degree is taken into consideration. ^ EFFECT: high accuracy of prognosis. ^ 6 cl, 2 tbl