GenOMICC WGS summary statistics

Abstract

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 with MAF>0.01. 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

Data Citation

Pairo-Castineira, Erola; Baillie, J; Kousathanas, Athanasios; Caufield, Mark J.. (2022). GenOMICC WGS summary statistics, 2020-2021 [dataset]. University of Edinburgh. Roslin Institute. https://doi.org/10.7488/ds/3411.

Date made available	16 Feb 2022
Publisher	Edinburgh DataShare
Temporal coverage	Mar 2020 - Jul 2021

DOI
10.7488/ds/3411

Access Dataset

Whole genome sequencing identifies multiple loci for critical illness caused by COVID-19 Athanasios Kousathanas, Erola Pairo-Castineira, Konrad Rawlik, Alex Stuckey, Christopher A Odhams, Susan Walker, Clark D Russell, Tomas Malinauskas, Jonathan Millar, Katherine S Elliott, Fiona Griffiths, Wilna Oosthuyzen, Kirstie Morrice, Sean Keating, Bo Wang, Daniel Rhodes, Lucija Klaric, Marie Zechner, Nick Parkinson, Andrew D. Bretherick, Afshan Siddiq, Peter Goddard, Sally Donovan, David Maslove, Alistair Nichol, Malcolm G Semple, Tala Zainy, Fiona Maleady-Crowe, Linda Todd, Shahla Salehi, Julian Knight, Greg Elgar, Georgia Chan, Prabhu Arumugam, Tom A Fowler, Augusto Rendon, Manu Shankar-Hari, Charlotte Summers, Charles Hinds, Peter Horby, Danny McAuley, Hugh Montgomery, Peter J.M. Openshaw, Yang Wu, Jian Yang, Paul Elliott, Timothy Walsh, GenOMICC Investigators, 23andMe, Covid-19 Human Genetics Initiative, Angie Fawkes, Lee Murphy, Kathy Rowan, Chris P Ponting, Veronique Vitart, James F Wilson, Richard H Scott, Sara Clohisey, Loukas Moutsianas, Andy Law, Mark J Caulfield, J. Kenneth Baillie medRxiv 2021.09.02.21262965; doi: https://doi.org/10.1101/2021.09.02.21262965 This article is a preprint and has not been peer-reviewed . It reports new medical research that has yet to be evaluated and so should not be used to guide clinical practice.

1 Article

Whole genome sequencing reveals host factors underlying critical Covid-19
GenOMICC Investigators, Kousathanas, A., Pairo-Castineira, E., Rawlik, K., Stuckey, A., Odhams, C. A., Walker, S., Russell, C. D., Malinauskas, T., Wu, Y., Millar, J., Shen, X., Elliott, K. S., Griffiths, F., Oosthuyzen, W., Morrice, K., Keating, S., Wang, B., Rhodes, D., Klaric, L., & 57 othersZechner, M., Parkinson, N., Siddiq, A., Goddard, P., Donovan, S., Maslove, D., Nichol, A., Semple, M. G., Zainy, T., Maleady-Crowe, F., Todd, L., Salehi, S., Knight, J., Elgar, G., Chan, G., Arumugam, P., Patch, C., Rendon, A., Bentley, D., Kingsley, C., Kosmicki, J. A., Horowitz, J. E., Baras, A., Abecasis, G. R., Ferreira, M. A. R., Justice, A., Mirshahi, T., Oetjens, M., Rader, D. J., Ritchie, M. D., Verma, A., Fowler, T. A., Shankar-Hari, M., Summers, C., Hinds, C., Horby, P., Ling, L., McAuley, D., Montgomery, H., Openshaw, P. J. M., Elliott, P., Walsh, T., Tenesa, A., Fawkes, A., Murphy, L., Rowan, K., Ponting, C. P., Vitart, V., Wilson, J. F., Yang, J., Bretherick, A. D., Scott, R. H., Hendry, S. C., Moutsianas, L., Law, A., Caulfield, M. J. & Baillie, J. K., 7 Jul 2022, In: Nature. 607, p. 97-103
Research output: Contribution to journal › Article › peer-review

Open Access
File

GenOMICC WGS summary statistics

Abstract

Data Citation

DOI

Access Dataset

Research output

Whole genome sequencing reveals host factors underlying critical Covid-19

Cite this