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Depositordc.contributorpairo-castineira, Erola
Funderdc.contributor.otherBBSRC - Biotechnology and Biological Sciences Research Councilen_UK
Funderdc.contributor.otherMRC - Medical Research Councilen_UK
Funderdc.contributor.otherNIHR - National Institute for Health Researchen_UK
Funderdc.contributor.otherUKRI - UK Research and Innovationen_UK
Funderdc.contributor.otherWellcome Trusten_UK
Funderdc.contributor.otherDHSC - Department of Health and Social Careen_UK
Funderdc.contributor.otherSepsis Research (The Fiona Elizabeth Agnew Trust)
Funderdc.contributor.otherIntensive Care Society
Funderdc.contributor.otherGenomics England Ltd
Funderdc.contributor.otherIllumina Inc
Funderdc.contributor.otherCRUK - Cancer Research UK
Funderdc.contributor.otherNHS England
Spatial Coveragedc.coverage.spatialUKen
Spatial Coveragedc.coverage.spatialUNITED KINGDOMen
Spatial Coveragedc.coverage.spatialBRen
Spatial Coveragedc.coverage.spatialBRAZILen
Data Creatordc.creatorPairo-Castineira, Erola
Data Creatordc.creatorRawlik, Konrad
Data Creatordc.creatorBaillie, Kenneth
Citationdc.identifier.citationPairo-Castineira, Erola; Rawlik, Konrad; Baillie, Kenneth. (2022). GenOMICC release 3, [dataset]. University of Edinburgh. Roslin Institute.
Persistent Identifierdc.identifier.uri
Persistent Identifierdc.identifier.uri
Dataset Description (abstract)dc.description.abstractHere, 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.en_UK
Publisherdc.publisherUniversity of Edinburgh. Roslin Instituteen_UK
Relation (Is Referenced By)dc.relation.isreferencedby
Relation (Is Referenced By)dc.relation.isreferencedbyGWAS 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Andy Law, Sara Clohisey Hendry, J. Kenneth Baillie medRxiv 2022.03.07.22271833; doi: This article is a preprint and has not been certified by peer review.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.en_UK
Rightsdc.rightsThese 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.en
Subjectdc.subjectSummary Statisticsen_UK
Subject Classificationdc.subject.classificationBiological Sciencesen_UK
Titledc.titleGenOMICC release 3en_UK
Alternative Titledc.title.alternativeGWAS summary statistics GenOMICC meta-analysis for hospitalised and critically ill datasetsen_UK

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