The Estimation of Heritability with Unbalanced Data: I. Observations Available on Parents and Offspring

Abstract

The maximum likelihood (ML) estimation of heritability when data are available on both parents and offspring and the offspring data have a hierarchical structure is discussed. Computational forms are developed that are useful when the families of full-sibs and of half-sibs are of unequal sizes. Extensions to other variance component situations are discussed.