On the statistical determination of major gene mechanisms in continuous human traits: regressive models.

We consider the analysis of a continuous trait measured on human families and pedigrees to elucidate the mechanism of underlying major genes. Thinking in terms of the naturally Markovian structure of the dependencies in pedigrees rather than variance components, we describe natural classes of regressive models that are computationally feasible. These models can accommodate wide generalizations of the residual variation, and so should provide a stronger basis than other models proposed to date for inferring the segregation and linkage relationships of major genes.