Элементы природы в крымско–татарском народном искусстве

В статье рассматривается система образования элементов орнамента. Типы орнаментального искусства и принципы группировки элементов изобразительной формы. Цветовое решение в орнаменте.В статі розглядається система освіти елементів орнамента. Типи орнаментального мистецтва і принципи згрупування елементів образотворчої форми. Кольорове рішення в орнаменті.The system of ornament's elements is representative in this article. Same types of art's ornament and some principles of grouping art's elements are here. Color's design in ornament

Genetic risk factors of cardiovascular disease

Atherosclerosis has a multifactorial origin involving abnormalities in lipid metabolism, hypertension, obesity, diabetes mellitus, smoking, inflammation, coagulation, and fibrinolysis, amongst others. At present, we lack a complete understanding of the relevance of these individual risk factors and their interplay in the disease process. It has been suggested that genetic factors contribute to the risk of CVD. The main aim of this thesis was to find new genetic risk factors for CVD, by using different analysis methods using new and existing publicly available data. In this thesis, we have identified new variants with small effects associated with lipid levels in a large meta-analysis of 66,240 individuals from 32 different studies. Unfortunately, we did not find an association between GRS of common variants with small effects on CVD and the number of events in a cohort of FH patients and a cohort of patients treated with statins. By using publicly available GWAS data we found that TG, LP(a), CAC and plaque are associated with CVD. We feel that sharing and combining datasets by making (summary-level) data publicly available for further research will contribute to the discovery of new (genetic) risk factors of CVD

Clinical presentation, disease course, and outcome of COVID-19 in hospitalized patients with and without pre-existing cardiac disease: a cohort study across 18 countries

Aims Patients with cardiac disease are considered high risk for poor outcomes following hospitalization with COVID-19. The primary aim of this study was to evaluate heterogeneity in associations between various heart disease subtypes and in-hospital mortality.Methods and results We used data from the CAPACITY-COVID registry and LEOSS study. Multivariable Poisson regression models were fitted to assess the association between different types of pre-existing heart disease and in-hospital mortality. A total of 16 511 patients with COVID-19 were included (21.1% aged 66-75 years; 40.2% female) and 31.5% had a history of heart disease. Patients with heart disease were older, predominantly male, and often had other comorbid conditions when compared with those without. Mortality was higher in patients with cardiac disease (29.7%; n= 1545 vs. 15.9%; n= 1797). However, following multivariable adjustment, this difference was not significant [adjusted risk ratio (aRR) 1.08, 95% confidence interval (CI) 1.02-1.15; P = 0.12 (corrected for multiple testing)]. Associations with in-hospital mortality by heart disease subtypes differed considerably, with the strongest association for heart failure (aRR 1.19, 95% CI 1.10-1.30; P <0.018) particularly for severe (New York Heart Association class III/IV) heart failure (aRR 1.41, 95% CI 1.20-1.64; P < 0.018). None of the other heart disease subtypes, including ischaemic heart disease, remained significant after multivariable adjustment. Serious cardiac complications were diagnosed in <1% of patients.Conclusion Considerable heterogeneity exists in the strength of association between heart disease subtypes and in-hospital mortality. Of all patients with heart disease, those with heart failure are at greatest risk of death when hospitalized with COVID-19. Serious cardiac complications are rare during hospitalization.[GRAPHICS]

Large-scale gene-centric meta-analysis across 39 studies identifies type 2 diabetes loci

To identify genetic factors contributing to type 2 diabetes (T2D), we performed large-scale meta-analyses by using a custom similar to 50,000 SNP genotyping array (the ITMAT-Broad-CARe array) with similar to 2000 candidate genes in 39 multiethnic population-based studies, case-control studies, and clinical trials totaling 17,418 cases and 70,298 controls. First, meta-analysis of 25 studies comprising 14,073 cases and 57,489 controls of European descent confirmed eight established T2D loci at genome-wide significance. In silico follow-up analysis of putative association signals found in independent genome-wide association studies (including 8,130 cases and 38,987 controls) performed by the DIAGRAM consortium identified a T2D locus at genome-wide significance (GATAD2A/CILP2/PBX4; p = 5.7 x 10(-9)) and two loci exceeding study-wide significance (SREBF1, and TH/INS; p < 2.4 x 10(-6)). Second, meta-analyses of 1,986 cases and 7,695 controls from eight African-American studies identified study-wide-significant (p = 2.4 x 10(-7)) variants in HMGA2 and replicated variants in TCF7L2 (p = 5.1 x 10(-15)). Third, conditional analysis revealed multiple known and novel independent signals within five T2D-associated genes in samples of European ancestry and within HMGA2 in African-American samples. Fourth, a multiethnic meta-analysis of all 39 studies identified T2D-associated variants in BCL2 (p = 2.1 x 10(-8)). Finally, a composite genetic score of SNPs from new and established T2D signals was significantly associated with increased risk of diabetes in African-American, Hispanic, and Asian populations. In summary, large-scale meta-analysis involving a dense gene-centric approach has uncovered additional loci and variants that contribute to T2D risk and suggests substantial overlap of T2D association signals across multiple ethnic groups