| Population name | Lu |
| Genome | GRCh37 |
| Consortium | Not specified |
| Super population | EUR, SAS, AFR |
| Population description | UK Biobank COVID-19 positive participants, 180 with COVID-19 related mortality |
| Population origin | Not specified |
| Case population size | 180 |
| Control population size | 1141 |
| Comorbidities | Hypertension, Diabetes, Cholesterol |
| Mean / median age | Not specified |
| Sex | Male 127 Female 53 |
| Severity | Critical |
| Sample source | Nasopharyngeal swab |
| Method | GWAS combined with functional ontology and deleteriousness statistics |
| Bioinformatics | PLINK 2.0 quality control. GWAS with Holm-Bonferroni multiple hypothesis correction performed. Two gene lists were created using either a UniProt database list or an in house created list. The in house list was created using Hidden Markov models (HMM) and protein coding to leverage functional gene ontology with the FATHMM program analysing amino acid deleteriousness and phenotype prediction. To increase power of association the GWAS p-values and the HMM p-values were combined using Fishers method. |
| Imputation details | Not specified |
| Limitations | Early study with a low amount of data |