| Population name | Hu |
| Genome | GRCh37 |
| Consortium | Not specified |
| Super population | EUR |
| Population description | COVID-19 positive cases including 292 deaths of participants from the UK Biobank (UKB) |
| Population origin | Northern Europe |
| Case population size | 1096 |
| Control population size | 0 |
| Comorbidities | Not specified |
| Mean / median age | Not specified |
| Sex | Not specified |
| Severity | Severe |
| Sample source | Nasopharyngeal swab |
| Method | UK Biobank Axiom Array. Imputed SNPs used to perform a GWAS using super variants in statistical genetics to identify potential risk loci contributing to the COVID-19 mortality. |
| Bioinformatics | Local ranking and aggregation used to identify super variants using a four step method which included two modes of transmission (recessive and dominant). This method was used in a discovery and validation identification. Logistic regression, replicated 10x for stability, was then used to investigate super variant associations with the death outcomes of COVID-19. Cox regression was used to futher validate supervariants verified in multiple runs. |
| Imputation details | Haplotype Reference Consortium and UK10K and 1000 Genomes reference panels |
| Limitations | Role of super variants in COVID-19 susceptibility not validated. Comorbidities were not accounted for in the association analysis eventhough UKB COVID-19 hospitalised patients had comorbidities. Study was restricted by sample size. Environmetal influencers not factored. No other ethnicities were included in this study. |