RESUMEN
The article analyzes the population mortality rate in Ukraine from cardiovascular diseases (for example of Sumy region). The structure and dynamics of mortality among the region residents as a result of these diseases during 2012-2019 are also considered. Prognostic assessment the population mortality rate in Ukraine from diseases of the circulatory system (regional aspect). We used analytical, statistical research methods, the method of systematic approach and comparative analysis. Statistical processing was performed in accordance with generally accepted methods of variation statistics using the software STATISTICA 8.0. On the basis of the data from annual statistical reports of medical institutions of the Sumy region, subordinate to the Ministry of Public Health of Ukraine (2012-2019), statistical yearbooks, the forecast of mortality of the population from cardiovascular diseases was made. It is predicted that the mortality rate of the population from cardiovascular diseases will slightly increase by 2025 (by 0.5%). This moderate growth will be achieved due to a slight decrease in the population mortality rate from cerebrovascular diseases. But mortality from other cardiovascular pathologies will increase by 2025. Also, the work carried out the forecast of the population mortality rate from various cardiovascular diseases in the territorial respect. The forecast showed that mortality from cardiovascular diseases will increase in 10 of 19 administrative-territorial units of Sumy region. Likewise, the results of forecasting of the population mortality from cardiovascular diseases by Ukraine's region can be used by local authorities to prevent the growth level of mortality of the population from this pathology and to prevent of morbidity increase.
RESUMEN
Genetic mapping of quantitative traits requires genotypic data for large numbers of markers in many individuals. For such studies, the use of large single nucleotide polymorphism (SNP) genotyping arrays still offers the most cost-effective solution. Herein we report on the design and performance of a SNP genotyping array for Populus trichocarpa (black cottonwood). This genotyping array was designed with SNPs pre-ascertained in 34 wild accessions covering most of the species latitudinal range. We adopted a candidate gene approach to the array design that resulted in the selection of 34 131 SNPs, the majority of which are located in, or within 2 kb of, 3543 candidate genes. A subset of the SNPs on the array (539) was selected based on patterns of variation among the SNP discovery accessions. We show that more than 95% of the loci produce high quality genotypes and that the genotyping error rate for these is likely below 2%. We demonstrate that even among small numbers of samples (n = 10) from local populations over 84% of loci are polymorphic. We also tested the applicability of the array to other species in the genus and found that the number of polymorphic loci decreases rapidly with genetic distance, with the largest numbers detected in other species in section Tacamahaca. Finally, we provide evidence for the utility of the array to address evolutionary questions such as intraspecific studies of genetic differentiation, species assignment and the detection of natural hybrids.