A Multifactorial Study of the Association of UCP1, UCP2, UCP3, FTO Genes Polymorphisms with Cardiometabolic Diseases

The work is devoted to multifactorial study of the relationship between polymorphisms of UCP1, UCP2, UCP3 and FTO genes and cardiometabolic diseases. The work involved analyzing genetic data from patients from two populations. The aim of the study was to determine the extent to which the above genetic variations influence the risk of developing cardiometabolic diseases such as obesity, diabetes, cardiovascular disease and others. The methodology for determining the impact includes both statistical analysis of associations and assessment of interactions between single-nucleotide gene polymorphisms and additional factors, as well as logistic regression and gradient bousting methods. The study also proposes machine learning models for specific metabolic diseases trained on both genetic and additional factors (demographic data, blood tests and history) with high predictive power.