Modern approaches to the assessment of individual risk of CHD development: status, problems, prospects

Abstract

   Cardiovascular diseases are the leading cause of non-violent deaths in the world. Criteria for the formation of high-risk groups are necessary for primary prevention of disease development. This was the reason for research on the development of riskmeters. A brief description of the history of the creation of CHD riskmeters. The review provides a description of the current challenges in assessing individual risk for CHD. The main approaches to the creation of riskmeters have not changed significantly for several decades. The increase in the size of study groups and the number of molecular genetic markers undoubtedly give certain results. However, in order to move from the population level to the individual level, it is necessary to take into account many more factors in the assessment. That is, it is necessary to learn how to analyze the most complex set of data of one person (genome, transcriptome, proteome, and maybe even microbiome) not only with a deep understanding of the mechanisms of its functioning (from conception to death), but also possible disorders, based on the available features. And for this purpose it is necessary to rely not only and not so much on statistical data, but on maximally similar sets of individual data (first of all, relatives). It seems that similarity should be evaluated by an artificial intelligence system trained on a colossal array of individual data.