Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/17893
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lei, Edwin | en |
dc.contributor.author | Yao, Fang | en |
dc.contributor.author | Heckman, Nancy | en |
dc.contributor.author | Meyer, Karin | en |
dc.date.accessioned | 2015-09-18T14:16:00Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Journal of Computational and Graphical Statistics, 24(3), p. 756-770 | en |
dc.identifier.issn | 1537-2715 | en |
dc.identifier.issn | 1061-8600 | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/17893 | - |
dc.description.abstract | We propose a new version of functional data model for analyzing familial related individuals, where the within-subject correlation depends smoothly on a covariate such as age and the between-subject correlation follows family-wise genetic association. Our motivating example concerns measurements of weight as a function of age in sibling cows from independent families. Observations are sparsely sampled from trajectories of a phenotype contaminated with measurement error, where the phenotypic trajectory consists of a genetic component and an environmental component. By combining information across individuals, the genetic and environmental covariance are estimated via smoothing techniques. We study the genetic and environmental effects using principal component analysis, taking into account the genetic correlation to enhance the subject-level signal extraction. We show via the real data and simulations that incorporating the correlation structure improves predictions of individual phenotypic trajectories. | en |
dc.language | en | en |
dc.publisher | Taylor & Francis Inc | en |
dc.relation.ispartof | Journal of Computational and Graphical Statistics | en |
dc.title | Functional Data Model for Genetically Related Individuals With Application to Cow Growth | en |
dc.type | Journal Article | en |
dc.identifier.doi | 10.1080/10618600.2014.948180 | en |
dc.subject.keywords | Animal Breeding | en |
dc.subject.keywords | Genomics | en |
local.contributor.firstname | Edwin | en |
local.contributor.firstname | Fang | en |
local.contributor.firstname | Nancy | en |
local.contributor.firstname | Karin | en |
local.subject.for2008 | 060408 Genomics | en |
local.subject.for2008 | 070201 Animal Breeding | en |
local.subject.seo2008 | 830301 Beef Cattle | en |
local.profile.school | Animal Genetics and Breeding Unit | en |
local.profile.email | kmeyer@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-20150227-154041 | en |
local.publisher.place | United States of America | en |
local.format.startpage | 756 | en |
local.format.endpage | 770 | en |
local.identifier.scopusid | 84941762081 | en |
local.peerreviewed | Yes | en |
local.identifier.volume | 24 | en |
local.identifier.issue | 3 | en |
local.contributor.lastname | Lei | en |
local.contributor.lastname | Yao | en |
local.contributor.lastname | Heckman | en |
local.contributor.lastname | Meyer | en |
dc.identifier.staff | une-id:kmeyer | 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:18103 | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Functional Data Model for Genetically Related Individuals With Application to Cow Growth | en |
local.output.categorydescription | C1 Refereed Article in a Scholarly Journal | en |
local.search.author | Lei, Edwin | en |
local.search.author | Yao, Fang | en |
local.search.author | Heckman, Nancy | en |
local.search.author | Meyer, Karin | en |
local.uneassociation | Unknown | en |
local.identifier.wosid | 000361373800008 | en |
local.year.published | 2015 | en |
local.subject.for2020 | 310509 Genomics | en |
local.subject.for2020 | 300305 Animal reproduction and breeding | en |
local.subject.seo2020 | 100401 Beef cattle | en |
Appears in Collections: | Animal Genetics and Breeding Unit (AGBU) Journal Article |
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