Often more than one quantitative trait is measured on each person in a set of pedigrees. The
present paper suggests a class of covariance components models that will allow …

Lande's equation for predicting the response of trait means to a shift in optimal trait values is
tested using a stochastic simulation model. The simulated population is finite, and each …

MOTIVATION: Classical quantitative genetics theory makes a number of simplifying
assumptions in order to develop mathematical expressions that describe the mean and …

A multivariate quantitative genetic model is analyzed that is based on the assumption that
the genetic variation at a locus j primarily influences an underlying physiological variable yj …

A new method for segregation and linkage analysis, with pedigree data, is described.
Reversible jump Markov chain Monte Carlo methods are used to implement a sampling …

Statistical properties of the process describing the genealogical history of a random sample
of genes are obtained for a class of population genetics models with selection. For models …

This book describes, in detail, statistical methods used in the analysis of population genetic
data of a discrete (enumeration) nature, such as genotype frequencies. It is not concerned …

The spatial patterns in the mean and variance of a quantitative character that result from the
interaction of spatially varying, optimizing selection and gene flow are considered. The …

ABSTRACT A statistical genetic model of a multivariate phenotype is derived to investigate
the covariation of pleiotropic mutations with additive effects under the combined action of …

Quantitative traits measured in human families can be analyzed to partition the total
population variance into genetic and environmental components, or to elucidate the genetic …