COVID-19 phenotype definition
COVID-19 phenotype definition standardizes phenotype variables and supports genetic association analyses to identify host genetic determinants of SARS-CoV-2 susceptibility and COVID-19 severity.
Key Features:
- Phenotype data dictionary: Provides standardized phenotype variables to elucidate genetic influences on SARS-CoV-2 infection susceptibility and COVID-19 severity.
- COVID-19 Host Genetics Initiative integration: Operates within the COVID-19 Host Genetics Initiative to coordinate phenotype definitions across international studies.
- Global cohort aggregation: Aggregates data from up to 49,562 patients across 46 studies in 19 countries to increase power for genetic discovery.
- Genome-wide association meta-analyses: Incorporates results from three genome-wide association meta-analyses that identified 13 genome-wide significant loci associated with SARS-CoV-2 infection and severe COVID-19 manifestations.
- Integration of viral and host data: Enables integration of viral sequence data with human host genotype and clinical metadata to study host–pathogen interactions and variant distributions over time and space.
- Mendelian randomization analyses: Supports Mendelian randomization analyses implicating factors such as smoking and body mass index in severe COVID-19 outcomes.
Scientific Applications:
- Therapeutic target identification: Identifies genetic loci associated with COVID-19 outcomes to prioritize putative therapeutic targets.
- Risk factor analysis: Uses Mendelian randomization to assess causal roles of exposures such as smoking and body mass index in COVID-19 severity.
- Integrative surveillance and research: Correlates viral variant distributions with host phenotypes over time and space to inform surveillance and epidemiological studies.
Methodology:
Genome-wide association studies (GWAS), meta-analyses of GWAS results (three meta-analyses identifying 13 genome-wide significant loci), Mendelian randomization analyses, and integration of viral sequence data with human host genotype and clinical metadata, supported by international data sharing and integration.
Topics
Collections
Details
- Tool Type:
- database
- Added:
- 11/17/2023
- Last Updated:
- 12/16/2023
Operations
Publications
Bernasconi A, Canakoglu A, Masseroli M, Pinoli P, Ceri S. A review on viral data sources and search systems for perspective mitigation of COVID-19. Briefings in Bioinformatics. 2020;22(2):664-675. doi:10.1093/bib/bbaa359. PMID:33348368. PMCID:PMC7799334.
Niemi MEK, Karjalainen J, Liao RG, Neale BM, Daly M, Ganna A, Pathak GA, Andrews SJ, Kanai M, Veerapen K, et al. (7889):472-477. doi:10.1038/s41586-021-03767-x. PMID:34237774. PMCID:PMC8674144.