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SUPERSEDED - GenOMICC WGS summary statistics GWAS and TWAS GenOMICC summary statistics

Domain:

healthcare

Record type:

dataset
Creator:
PaiBaiKouCau
Editor:
Pai
Publisher:
Uni
Host:avatar
## This item has been replaced by the one which can be found at doi.org ## GWAS summary statistics from 7,491 critically ill patients from COVID-19 and 48,400 population controls: European(EUR) 5,989/42,891; South Asian(SAS) 788/3,793; African(AFR) 440/1,350; East Asian(EAS) 274/366. GWAS models were calculated with SAIGE using a logisitic mixed-model regression. A trans-ancestry meta-analysis was performed using inverse-variant weighted fixed-effects. Ancestry-specific and trans-ancestry summary statistics are available. TWAS was performed using GTEx v8 gene expression data for lung and blood and an all-tissue meta-analysis. Summary statistics for tissue-specific and meta-TWAS are available.

Visit

doi.orgdatashare.ed.ac.uk

Tags

GWASTWAStrans-ancestry GWASCOVID-19bloodlungmeta-TWASGenOMICCgeneticBiological Siciences

Licenses

Creative Commons Attribution 4.0 International Public License

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