| Population name | Baldassarri |
| Genome | not specified |
| Consortium | GEN-COVID Multicenter Study |
| Super population | EUR |
| Population description | Cases and controls were drawn from the Italian GEN-COVID cohort of 1178, cases were selected according to the following inclusion criteria: i. CPAP/biPAP ventilation (230 subjects); ii. endotracheal intubation (108 subjects). As controls, 300 subjects were selected using the sole criterion of not requiring hospitalization. Exclusion criteria for both cases and controls were i. SARS-CoV-2 infection not confirmed by PCR; ii. non-caucasian ethnicity.The Spanish cohort, composed of male COVID- 19 pa |
| Population origin | Italy, Spain |
| Case population size | 1295 |
| Control population size | 341 |
| Comorbidities | cardiac, endocrine, neurological, neoplastic |
| Mean / median age | 52-68 years |
| Sex | predominantly male |
| Severity | Severe |
| Sample source | Nasopharyngeal swab |
| Method | The HUMARA assay was used to establish allele sizes of the polymorphic triplet in the AR locus performed using a fluorescent PCR followed by capillary electrophoresis on an ABI3130 sequencer. Allele size was established using the Genescan Analysis software. WES data had already been obtained from the previous GEN-COVID study. Serum and plasma total Testosterone, SHBG levels in plasma and serum LH were measured following standard procedures |
| Bioinformatics | Variants calling was performed according to the GATK4 best practice guidelines, using BWA for mapping, and ANNOVAR for annotating. A LASSO logistic regression was performed on the poly-amino acid repeats. The data pre-processing was coded in Python, whereas for the logistic regression model the scikit-learn module with the liblinear coordinate descent optimization algorithm was used. |
| Imputation details | Not Specified |
| Limitations | Not Specified |