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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/18804
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dc.contributor.authorLee, Sang Hongen
dc.date.accessioned2016-04-01T15:48:00Z-
dc.date.issued2015-
dc.identifier.citationProceedings of the National Academy of Sciences, 112(40), p. E5449-E5451en
dc.identifier.issn1091-6490en
dc.identifier.issn0027-8424en
dc.identifier.urihttps://hdl.handle.net/1959.11/18804-
dc.description.abstractGolan et al. (1) report that restricted maximum likelihood (REML) seriously underestimates SNP heritability when using a case-control design. Their conclusions are based on results from simplified linkage equilibrium SNP simulation (SLES), which the authors acknowledge may be unrealistic. We simulated case-control data using the liability threshold model (1, 2), based on a real genome-wide association study (GWAS) of 800,000 SNPs from 64,000 samples, i.e., a genome-wide linkage disequilibrium SNP simulation (GLDS). Our simulation used a population disease risk of K = 0.01 and proportion of cases in the sample of P = 0.5 (therefore, there were 640 cases and 640 controls in the estimation analyses).en
dc.languageenen
dc.publisherNational Academy of Sciencesen
dc.relation.ispartofProceedings of the National Academy of Sciencesen
dc.titleImplications of simplified linkage equilibrium SNP simulationen
dc.typeJournal Articleen
dc.identifier.doi10.1073/pnas.1502868112en
dc.subject.keywordsGenomicsen
dc.subject.keywordsQuantitative Genetics (incl. Disease and Trait Mapping Genetics)en
dc.subject.keywordsAnimal Breedingen
local.contributor.firstnameSang Hongen
local.subject.for2008070201 Animal Breedingen
local.subject.for2008060408 Genomicsen
local.subject.for2008060412 Quantitative Genetics (incl. Disease and Trait Mapping Genetics)en
local.subject.seo2008970108 Expanding Knowledge in the Information and Computing Sciencesen
local.subject.seo2008970106 Expanding Knowledge in the Biological Sciencesen
local.subject.seo2008970107 Expanding Knowledge in the Agricultural and Veterinary Sciencesen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailslee38@une.edu.auen
local.output.categoryC4en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20160318-14351en
local.publisher.placeUnited States of Americaen
local.format.startpageE5449en
local.format.endpageE5451en
local.identifier.volume112en
local.identifier.issue40en
local.contributor.lastnameLeeen
dc.identifier.staffune-id:slee38en
local.profile.roleauthoren
local.identifier.unepublicationidune:19006en
dc.identifier.academiclevelAcademicen
local.title.maintitleImplications of simplified linkage equilibrium SNP simulationen
local.output.categorydescriptionC4 Letter of Noteen
local.relation.grantdescriptionNHMRC/APP1080157en
local.relation.grantdescriptionARC/DE130100614en
local.search.authorLee, Sang Hongen
local.uneassociationUnknownen
local.identifier.wosid000363125400001en
local.year.published2015en
local.subject.for2020300305 Animal reproduction and breedingen
local.subject.for2020310509 Genomicsen
local.subject.for2020310506 Gene mappingen
local.subject.seo2020280115 Expanding knowledge in the information and computing sciencesen
local.subject.seo2020280102 Expanding knowledge in the biological sciencesen
local.subject.seo2020280101 Expanding knowledge in the agricultural, food and veterinary sciencesen
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School of Environmental and Rural Science
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