Zhou et al 2021: Genetic Links Between Blood Cell Traits and Severe COVID-19

UK Biobank data from 310,999 European individuals was used in a phenome-wide association study linking the 3p21.31 genetic locus to severe COVID-19. The analysis examined 923 phenotypes and performed polygenic score analysis on 31,684 blood samples to associate gene expression with blood cell counts. The supporting materials were authored by Jingqi Zhou and are associated with a 2021 paper in Gerontology.

Use Cases

• Identify genetic associations with blood cell traits based on PheWAS results for 923 phenotypes.
• Investigate links between candidate gene expression (CCR1, CCR2, CCR3) and immune cell counts from polygenic score analysis.
• Examine demographic differences in white blood cell traits across age and sex groups within the UK Biobank cohort.
• Study potential mechanistic pathways connecting specific genetic loci to severe infectious disease outcomes.

Strengths

• Analysis is based on a large sample of 310,999 individuals from the UK Biobank.
• Phenome-wide association study examined a broad set of 923 phenotypes.
• Polygenic score analysis incorporated a meta-analysis of 31,684 blood samples.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to the UK Biobank's European participant cohort.

Provenance

Source

UK Biobank

Collection Method

Phenome-wide association study (PheWAS) and polygenic score (PGS) meta-analysis.

Geography

European individuals from the UK Biobank