| dc.contributor |
BBSRC - Biotechnology and Biological Sciences Research Council |
|
| dc.contributor |
MRC - Medical Research Council |
|
| dc.contributor |
NIHR - National Institute for Health Research |
|
| dc.contributor |
UKRI - UK Research and Innovation |
|
| dc.contributor |
Wellcome Trust |
|
| dc.contributor |
DHSC - Department of Health and Social Care |
|
| dc.contributor |
Sepsis Research (The Fiona Elizabeth Agnew Trust) |
|
| dc.contributor |
Intensive Care Society |
|
| dc.contributor |
LifeArc |
|
| dc.contributor |
Genomics England Ltd |
|
| dc.contributor |
Illumina Inc |
|
| dc.contributor |
CRUK - Cancer Research UK |
|
| dc.contributor |
NHS England |
|
| dc.contributor |
pairo-castineira, Erola |
|
| dc.creator |
Pairo-Castineira, Erola |
|
| dc.creator |
Rawlik, Konrad |
|
| dc.creator |
Baillie, Kenneth |
|
| dc.date |
2022-03-16T17:02:04Z |
|
| dc.date |
2023-03-31 |
|
| dc.date.accessioned |
2023-02-17T20:54:27Z |
|
| dc.date.available |
2023-02-17T20:54:27Z |
|
| dc.identifier |
Pairo-Castineira, Erola; Rawlik, Konrad; Baillie, Kenneth. (2022). GenOMICC release 3, [dataset]. University of Edinburgh. Roslin Institute. https://doi.org/10.7488/ds/3418. |
|
| dc.identifier |
https://hdl.handle.net/10283/4376 |
|
| dc.identifier |
https://doi.org/10.7488/ds/3418 |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/244235 |
|
| dc.description |
Here, we provide an updated analysis of the international GenOMICC study comprising a combination
of microarray genotype data from 11,325 critically ill cases in the UK (9,279 cases) and Brazil (2,186),
combined with other studies recruiting hospitalised patients with a strong focus on severe and critical
disease: ISARIC4C (655 cases) and SCOURGE consortium (5,934 cases). We put these
new results in context by completing a meta-analysis of the new GenOMICC GWAS results with
previously-published data. |
|
| dc.format |
application/gzip |
|
| dc.format |
text/plain |
|
| dc.format |
application/gzip |
|
| dc.language |
eng |
|
| dc.publisher |
University of Edinburgh. Roslin Institute |
|
| dc.relation |
https://www.medrxiv.org/content/10.1101/2022.03.07.22271833v1 |
|
| dc.relation |
GWAS and meta-analysis identifies multiple new genetic mechanisms underlying severe Covid-19. Erola Pairo-Castineira, Konrad Rawlik, Lucija Klaric, Andy Law, Sara Clohisey Hendry, J. Kenneth Baillie medRxiv 2022.03.07.22271833; doi: https://doi.org/10.1101/2022.03.07.22271833 This article is a preprint and has not been certified by peer review. It reports new medical research that has yet to be evaluated and so should not be used to guide clinical practice. |
|
| dc.rights |
These latest unpublished results for this data release are shared with the global community before publication in order to accelerate discovery. We share our results on the understanding that no investigator should publish any work derived from these results without express agreement of the GenOMICC Investigators. |
|
| dc.subject |
GenOMICC |
|
| dc.subject |
GWAS |
|
| dc.subject |
COVID-19 |
|
| dc.subject |
Summary Statistics |
|
| dc.subject |
Biological Sciences |
|
| dc.title |
GenOMICC release 3 |
|
| dc.title |
GWAS summary statistics GenOMICC meta-analysis for hospitalised and critically ill datasets |
|
| dc.type |
dataset |
|
| dc.coverage |
UK |
|
| dc.coverage |
UNITED KINGDOM |
|
| dc.coverage |
BR |
|
| dc.coverage |
BRAZIL |
|