Structured antedependence models for genetic analysis of repeated measures on multiple quantitative traits

A - Papers appearing in refereed journals

Jaffrezic, F., Thompson, R. and Hill, W. G. 2003. Structured antedependence models for genetic analysis of repeated measures on multiple quantitative traits. Genetics Research. 82 (1), pp. 55-65.

AuthorsJaffrezic, F., Thompson, R. and Hill, W. G.
Abstract

Simultaneous analysis of correlated traits that change with time is an important issue in genetic analyses. Several methodologies have already been proposed for the genetic analysis of longitudinal data on single traits, in particular random regression and character process models. Although the latter proved, in most cases, to compare favourably to alternative approaches for analysis of single function-valued traits, they do not allow a straightforward extension to the multivariate case. In this paper, another methodology (structured antedependence models) is proposed, and methods are derived for the genetic analysis of two or more correlated function-valued traits. Multivariate analyses are presented of fertility and mortality in Drosophila and of milk, fat and protein yields in dairy cattle. These models offer a substantial flexibility for the correlation structure, even in the case of complex non-stationary patterns, and perform better than multivariate random regression models, with fewer parameters.

Year of Publication2003
JournalGenetics Research
Journal citation82 (1), pp. 55-65
Digital Object Identifier (DOI)doi:10.1017/S0016672303006281
Open accessPublished as non-open access
Funder project or code445
513
Research in statistics relevant to biological processes
Output statusPublished
Publication dates
Online10 Sep 2003
Publication process dates
Accepted06 Mar 2003
Copyright licensePublisher copyright
PublisherCambridge University Press (CUP)
ISSN0016-6723

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