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https://hdl.handle.net/1959.11/7255
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DC Field | Value | Language |
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dc.contributor.author | Lee, Sang Hong | en |
dc.contributor.author | Goddard, M E | en |
dc.contributor.author | Visscher, P M | en |
dc.contributor.author | Van Der Werf, Julius H | en |
dc.date.accessioned | 2011-04-29T16:45:00Z | - |
dc.date.issued | 2010 | - |
dc.identifier.citation | Genetics Selection Evolution, 42(22), p. 1-14 | en |
dc.identifier.issn | 1297-9686 | en |
dc.identifier.issn | 0999-193X | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/7255 | - |
dc.description.abstract | Background: In the analysis of complex traits, genetic effects can be confounded with non-genetic effects, especially when using full-sib families. Dominance and epistatic effects are typically confounded with additive genetic and non-genetic effects. This confounding may cause the estimated genetic variance components to be inaccurate and biased. Methods: In this study, we constructed genetic covariance structures from whole-genome marker data, and thus used realized relationship matrices to estimate variance components in a heterogenous population of ~ 2200 mice for which four complex traits were investigated. These mice were genotyped for more than 10,000 single nucleotide polymorphisms (SNP) and the variances due to family, cage and genetic effects were estimated by models based on pedigree information only, aggregate SNP information, and model selection for specific SNP effects. Results and conclusions: We show that the use of genome-wide SNP information can disentangle confounding factors to estimate genetic variances by separating genetic and non-genetic effects. The estimated variance components using realized relationship were more accurate and less biased, compared to those based on pedigree information only. Models that allow the selection of individual SNP in addition to fitting a relationship matrix are more efficient for traits with a significant dominance variance. | en |
dc.language | en | en |
dc.publisher | BioMed Central Ltd | en |
dc.relation.ispartof | Genetics Selection Evolution | en |
dc.title | Using the realized relationship matrix to disentangle confounding factors for the estimation of genetic variance components of complex traits | en |
dc.type | Journal Article | en |
dc.identifier.doi | 10.1186/1297-9686-42-22 | en |
dc.subject.keywords | Animal Breeding | en |
local.contributor.firstname | Sang Hong | en |
local.contributor.firstname | M E | en |
local.contributor.firstname | P M | en |
local.contributor.firstname | Julius H | en |
local.subject.for2008 | 070201 Animal Breeding | en |
local.subject.seo2008 | 830399 Livestock Raising not elsewhere classified | en |
local.profile.school | School of Environmental and Rural Science | en |
local.profile.school | School of Environmental and Rural Science | en |
local.profile.email | slee38@une.edu.au | en |
local.profile.email | peter.visscher@qimr.edu.au | en |
local.profile.email | jvanderw@une.edu.au | en |
local.output.category | C1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.identifier.epublicationsrecord | une-20110326-141738 | en |
local.publisher.place | United Kingdom | en |
local.format.startpage | 1 | en |
local.format.endpage | 14 | en |
local.identifier.scopusid | 77956399066 | en |
local.peerreviewed | Yes | en |
local.identifier.volume | 42 | en |
local.identifier.issue | 22 | en |
local.contributor.lastname | Lee | en |
local.contributor.lastname | Goddard | en |
local.contributor.lastname | Visscher | en |
local.contributor.lastname | Van Der Werf | en |
dc.identifier.staff | une-id:slee38 | en |
dc.identifier.staff | une-id:mgoddar5 | en |
dc.identifier.staff | une-id:jvanderw | en |
local.profile.orcid | 0000-0003-2512-1696 | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:7423 | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Using the realized relationship matrix to disentangle confounding factors for the estimation of genetic variance components of complex traits | en |
local.output.categorydescription | C1 Refereed Article in a Scholarly Journal | en |
local.search.author | Lee, Sang Hong | en |
local.search.author | Goddard, M E | en |
local.search.author | Visscher, P M | en |
local.search.author | Van Der Werf, Julius H | en |
local.uneassociation | Unknown | en |
local.identifier.wosid | 000279960600001 | en |
local.year.published | 2010 | en |
Appears in Collections: | Journal Article |
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