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Depositordc.contributorHillary, Robert
Funderdc.contributor.otherMRC - Medical Research Councilen_UK
Funderdc.contributor.otherAge UKen_UK
Funderdc.contributor.otherAlzheimer's Research UKen_UK
Funderdc.contributor.otherWellcome Trusten_UK
Data Creatordc.creatorHillary, Robert
Data Creatordc.creatorTrejo Banos, Daniel
Data Creatordc.creatorKousathanas, Athanasios
Data Creatordc.creatorMcCartney, Daniel
Data Creatordc.creatorHarris, Sarah
Data Creatordc.creatorStevenson, Anna
Data Creatordc.creatorPatxot, Marion
Data Creatordc.creatorOjavee, Sven Erik
Data Creatordc.creatorZhang, Qian
Data Creatordc.creatorLiewald, David
Data Creatordc.creatorRitchie, Craig
Data Creatordc.creatorEvans, Kathryn
Data Creatordc.creatorTucker-Drob, Elliot
Data Creatordc.creatorWray, Naomi
Data Creatordc.creatorMcRae, Allan
Data Creatordc.creatorVisscher, Peter
Data Creatordc.creatorDeary, Ian
Data Creatordc.creatorRobinson, Matthew
Data Creatordc.creatorMarioni, Riccardo
Date Accessioneddc.date.accessioned2020-05-07T10:31:20Z
Date Availabledc.date.available2020-08-01T04:15:51Z
Citationdc.identifier.citationHillary, Robert; Trejo Banos, Daniel; Kousathanas, Athanasios; McCartney, Daniel; Harris, Sarah; Stevenson, Anna; Patxot, Marion; Ojavee, Sven Erik; Zhang, Qian; Liewald, David; Ritchie, Craig; Evans, Kathryn; Tucker-Drob, Elliot; Wray, Naomi; McRae, Allan; Visscher, Peter; Deary, Ian; Robinson, Matthew; Marioni, Riccardo. (2020). SUPERSEDED - Multi-method genome and epigenome wide studies of inflammatory protein levels in healthy older adults - BayesR+ GWAS Proteins, [dataset]. University of Edinburgh. Centre for Cognitive Ageing and Cognitive Epidemiology. https://doi.org/10.7488/ds/2815.en
Persistent Identifierdc.identifier.urihttp://hdl.handle.net/10283/3625
Persistent Identifierdc.identifier.urihttps://doi.org/10.7488/ds/2815
Dataset Description (abstract)dc.description.abstract## This item has been replaced by the one which can be found at https://doi.org/10.7488/ds/2854 ## This dataset represents one of five datasets which correspond to the study: "Multi-method genome and epigenome wide studies of inflammatory protein levels in healthy older adults". These datasets represent association studies on the levels of the same set of 70 inflammatory proteins. Each dataset represents one of five distinct methods used to perform genome-wide and epigenome-wide association studies on these protein levels. These methods are: Linear Regression GWAS, Linear Regression EWAS, OSCA EWAS, BayesR+ GWAS and BayesR+ EWAS. These analyses were performed as part of the Lothian Birth Cohort 1936 Study. This data relates to summary statistics for GWAS of 70 Olink inflammation proteins - performed by BayesR+.en_UK
Languagedc.language.isoengen_UK
Publisherdc.publisherUniversity of Edinburgh. Centre for Cognitive Ageing and Cognitive Epidemiologyen_UK
Relation (Is Referenced By)dc.relation.isreferencedbyHillary et al. (2020) Multi-method genome and epigenome wide studies of inflammatory protein levels in healthy older adults. Genome Medicine (In submission).
Superseded Bydc.relation.isreplacedbyhttps://doi.org/10.7488/ds/2854
Rightsdc.rightsCreative Commons Attribution 4.0 International Public Licenseen
Subjectdc.subjectageingen_UK
Subjectdc.subjectproteomicsen_UK
Subjectdc.subjectinflammatory proteinsen_UK
Subjectdc.subjectgenomicsen_UK
Subjectdc.subjectepigenomicsen_UK
Subject Classificationdc.subject.classificationBiological Sciences::Human Geneticsen_UK
Titledc.titleSUPERSEDED - Multi-method genome and epigenome wide studies of inflammatory protein levels in healthy older adults - BayesR+ GWAS Proteinsen_UK
Typedc.typedataseten_UK

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