Population name | Vietzen |
Genome | not specified |
Consortium | Center for Virology, Medical University of Vienna and the Department of Medicine IV, Kaiser Franz Josef Hospital, Vienna, Austria |
Super population | EUR |
Population description | SARS-COV-2 positive cases obtained from the Center of Virology, Medical University of Vienna between the 17 February and 17 April 2020. A total of 92/361 (25.5%) patients showed only minor symptoms and stayed in home quarantine (“nonhospitalized”), 190/361 (52.6%) patients were hospitalized with severe COVID-19 symptoms but never required intensive care (“hospitalized non-ICU”), and 79/361 (21.9%) patients were
severely affected and needed intensive care. |
Population origin | Austria |
Case population size | 361 |
Control population size | 260 |
Comorbidities | Obesity, hypertension, COPD and CAD |
Mean / median age | 69 years (median) |
Sex | 45% female |
Severity | Severe |
Sample source | Nasopharyngeal swab |
Method | DNA extraction was performed using the NucliSens EasyMag extractor (BioMérieux). DNA was eluted in 50 ?l of nuclease-free H2O. HLA-E*0101/0103 genotypes were determined by a Taqman assay and KLRC2wt/del variants were determined by touchdown PCR. As internal controls, genomic DNA obtained from the HeLa, HEK?293T, and K562 (all ATCC, Manassas, VA, USA) were used. Randomly chosen amplicons from all KLRC2 and HLA-E variants were routinely selected, sequenced on a 3130 genetic analyzer (Applied Biosy |
Bioinformatics | The distribution of the patient’s gender, comorbidities, and genetic variants was compared by ?2 test. Patient age was assessed by ANOVA and Dunn post test. Correlation of the genetic variants and comorbidities was assessed using ?2 test. For multivariable analysis, a general main effects loglinear model with genetic variables, gender, and age groups (<60, 60–70, 70–80, >80 years) was used to identify combined genetic variables associated with the risk for severe SARS-CoV-2 infections, who were hospitalized or hospitalized in an ICU. P values <0.05 were considered significant. Statistical analyses were performed using IBM SPSS Statistics 24. |
Imputation details | NA |
Limitations | not specified |