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We present the results of an association study involving hospitalized coronavirus disease 2019 (COVID-19) patients with a clinical background during the 3rd pandemic wave of COVID-19 in Slovakia. Seventeen single nucleotide variants (SNVs) in the eleven most relevant genes, according to the COVID-19 Host Genetics Initiative, were investigated. Our study confirms the validity of the influence of LZTFL1 and 2′-5′-oligoadenylate synthetase (OAS)1/OAS3 genetic variants on the severity of COVID-19. For two LZTFL1 SNVs in complete linkage disequilibrium, rs17713054 and rs73064425, the odds ratios of baseline allelic associations and logistic regressions (LR) adjusted for age and sex ranged in the four tested designs from 2.04 to 2.41 and from 2.05 to 3.98, respectively. The OAS1/OAS3 haplotype 'gttg' carrying a functional allele G of splice-acceptor variant rs10774671 manifested its protective function in the Delta pandemic wave. Significant baseline allelic associations of two DPP9 variants in all tested designs and two IFNAR2 variants in the Omicron pandemic wave were not confirmed by adjusted LR. Nevertheless, adjusted LR showed significant associations of NOTCH4 rs3131294 and TYK2 rs2304256 variants with severity of COVID-19. Hospitalized patients' reported comorbidities were not correlated with genetic variants, except for obesity, smoking (IFNAR2), and hypertension (NOTCH4). The results of our study suggest that host genetic variations have an impact on the severity and duration of acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Considering the differences in allelic associations between pandemic waves, they support the hypothesis that every new SARS-CoV-2 variant may modify the host immune response by reconfiguring involved pathways. [ABSTRACT FROM AUTHOR]

Background: Risk for developing papillary thyroid carcinoma (PTC), the most common endocrine malignancy, is thought to be mediated by lifestyle, environmental exposures and genetic factors. Recent progress in the genome-wide association studies of thyroid cancer leads to the identification of several genetic variants conferring risk to this malignancy across different ethnicities., Methods and Results: We set out to elucidate the impact of selected single nucleotide polymorphisms (SNPs) on papillary thyroid carcinoma risk and to evaluate the interactions of these genetic variants with associated diseases for the first time in the Slovak population. Six SNPs (rs966423, rs2439302, rs965513, rs116909374, rs1537424 and rs944289) were genotyped in 86 patients with PTC and 99 healthy control subjects. The association analysis and multivariable modelling of PTC risk by the genetic factors, supplemented with a rigorous statistical validation, were performed. One of the six SNPs rs966423 (DIRC3, OR=1.51, p=0.03) was significantly associated with PTC. Next two SNPs rs965513 (PTCSC2, OR=1.34) and rs116909374 (MBIP, OR=0.44) showed a suggestive association. Haplotype TTC (SNPs located on chromosome 14q13) showed a suggestive association with PTC (p=0.07, OR=1.55). In the PTC group, significant associations were observed between rs966423 (DIRC3) and ischemic heart diseases (p=0.009), rs965513 (PTCSC2) and diabetes mellitus (p=0.04) and haplotype 14q13 and musculoskeletal diseases. Next three associations rs966423 (DIRC3) and arterial hypertension; rs116909374 (MBIP) and other benign diseases; rs1537424 (MBIP) and disorder lipid metabolism, rs965513 (PTCSC2) and anti-Tg (thyroglobulin antibody) showed suggestive associations., Conclusion: These results indicate that germline variants not only predispose to PTC, but may also be related to other risk factors, including associated diseases. However, these associations were only moderate, and further multi-ethnic studies are required to evaluate the usefulness of these germline variants in the clinical stratification of PTC patients (Tab. 8, Ref. 37).

The global pandemic of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is having a tremendous impact on the global economy, health care systems and the lives of almost all people in the world. The Central European country of Slovakia reached one of the highest daily mortality rates per 100,000 inhabitants in the first 3 months of 2021, despite implementing strong prophylactic measures, lockdowns and repeated nationwide antigen testing. The present study reports a comparison of the performance of the Standard Q COVID-19 antigen test (SD Biosensor) with three commercial RT-qPCR kits (vDetect COVID-19-MultiplexDX, gb SARS-CoV-2 Multiplex-GENERI BIOTECH Ltd. and Genvinset COVID-19 [E]-BDR Diagnostics) in the detection of infected individuals among employees of the Martin University Hospital in Slovakia. Health care providers, such as doctors and nurses, are classified as "critical infrastructure", and there is no doubt about the huge impact that incorrect results could have on patients. Out of 1231 samples, 14 were evaluated as positive for SARS-CoV-2 antigen presence, and all of them were confirmed by RT-qPCR kit 1 and kit 2. As another 26 samples had a signal in the E gene, these 40 samples were re-isolated and subsequently re-analysed using the three kits, which detected the virus in 22, 23 and 12 cases, respectively. The results point to a divergence not only between antigen and RT-qPCR tests, but also within the "gold standard" RT-qPCR testing. Performance analysis of the diagnostic antigen test showed the positive predictive value (PPV) to be 100% and negative predictive value (NPV) to be 98.10%, indicating that 1.90% of individuals with a negative result were, in fact, positive. If these data are extrapolated to the national level, where the mean daily number of antigen tests was 250,000 in April 2021, it points to over 4700 people per day being misinterpreted and posing a risk of virus shedding. While mean Ct values of the samples that were both antigen and RT-qPCR positive were about 20 (kit 1: 20.47 and 20.16 for Sarbeco   E and RdRP , kit 2: 19.37 and 19.99 for Sarbeco   E and RdRP and kit 3: 17.47 for ORF1b / RdRP ), mean Ct values of the samples that were antigen-negative but RT-qPCR-positive were about 30 (kit 1: 30.67 and 30.00 for Sarbeco   E and RdRP , kit 2: 29.86 and 31.01 for Sarbeco   E and RdRP and kit 3: 27.47 for ORF1b / RdRP ). It confirms the advantage of antigen test in detecting the most infectious individuals with a higher viral load. However, the reporting of Ct values is still a matter of ongoing debates and should not be conducted without normalisation to standardised controls of known concentration.

Objective: To evaluate the GP6 gene polymorphism in patients with sticky platelet syndrome (SPS) and fetal loss., Design: Genetic association study., Setting: Perinatal center., Patient(s): Twenty-seven patients with SPS, manifested as fetal loss, and 42 control subjects without SPS and no history of fetal loss and thrombosis., Intervention(s): SPS was diagnosed by platelet aggregometry (PACKS-4 aggregometer; Helena Laboratories). Seven single-nucleotide polymorphisms (SNPs) of the GP6 gene were evaluated., Main Outcome Measure(s): Occurrence of SNPs of the GP6 gene in SPS patients versus control subjects., Result(s): We found a higher occurrence of three SNPs of the GP6 gene in SPS patients versus control subjects (rs1671153: 0.204 vs. 0.048, odds ratio [OR] 5.116, 95% confidence interval [CI] 1.536-17.03; rs1654419: 0.204 vs. 0.071, OR 3.326, 95% CI 1.149-9.619; rs1613662: 0.204 vs. 0.071, OR 3.326, 95% CI 1.149-9.619). The haplotype analysis showed a significantly higher occurrence of two haplotypes (CTGAG in haplotype 5: 0.185 vs. 0.059, OR 3.568, 95% CI 1.142-11.14; and CGATAG in haplotype 6: 0.204 vs. 0.048, OR 4.961, 95% CI 1.488-16.53)., Conclusion(s): Our results, especially the higher occurrence of haplotypes CTGAG and CGATAG in SPS patients, support the idea that GP6 gene polymorphism may be associated with platelet hyperaggregability, a possible cause of fetal loss., (Copyright © 2012 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.)