Data · dataset · 2021
SARS-CoV-2 susceptibility and COVID-19 disease severity are associated with genetic variants affecting gene expression in a wide variety of tissues
Listed in Teesside University Research Data Repository
Variability in SARS-CoV-2 susceptibility and COVID-19 disease severity between individuals is partly due to genetic factors.
Description
Here, we identifyied four genomic loci with suggestive associations for SARS-CoV-2 susceptibility and nineteen for COVID-19 disease severity. Four of these 23 loci likely hadve an ethnicity-specific component.
GWAS signals in eleven loci colocalized with eQTLs associated with the expression of 20 genes in 62 tissues/cell types (range: 1:43 tissues/gene) including lung, brain, heart, muscle, skin as well as the digestive system and immune system. We performed genetic fine mapping to compute 99% credible SNP sets, which identifyied ten GWAS loci that includedhave eight or fewer SNPs in the credible set, including three loci with one single likely causal SNP.
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Our study suggests that the diverse symptoms and disease severity of COVID-19 observed between individuals is associated with variants across the genome affecting gene expression levels in a wide variety of tissue types. Supplementary Tables Table S1: Genome-wide-significant COVID-19 loci Table S2: Colocalization between GWAS signals and eQTLs in 62 tissues at each of the 23 genome-wide significant loci Table S3: Fine mapped loci using eQTL information Table S4: Posterior probabilities of association at each of the 11 fine mapped loci
Links
Where it is published
- DOI doi.org/10.17632/c3t4s98rrh.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Genetics · Life Sciences · Medicine & Health
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/c3t4s98rrh.1 | 16 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[anatomy].local:anatomy:heart | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[disease].local:disease:disease | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:group:3105 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Genetics'] |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:tabular | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |