Work

Direct Estimation of Genetic Principal Components

Year: 2004

Type: article

Abstract: Estimating the genetic and environmental variances for multivariate and function-valued phenotypes poses problems for estimation and interpretation. Even when the phenotype of interest has a large number of dimensions, most variation is typically associated with a small number of principal components (eigen-vectors or eigenfunctions). We propose an approach that directly estimates these leading principal components; these then give estimates for the covariance matrices (or functions). Direct estimation of the principal components reduces the number of parameters to be estimated, uses the data efficiently, and provides the basis for new estimation algorithms. We develop these concepts for both multivariate and function-valued phenotypes and illustrate their application in the restricted maximum-likelihood framework.

Source: Genetics

DOI: 10.1534/genetics.104.029181

Authors: Mark Kirkpatrick, Karin Meyer

Institutions: The University of Texas at Austin, Animal Genetics and Breeding Unit, University of New England

Language: English

Topic: Genetic and phenotypic traits in livestock

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W2076582244

FWCI: 4.413

Cites: 41

Cited by: 144

Related to: 10