Familial Resemblance and Heritability
Introduction
One of the earliest statistical concepts, correlations, was conceived and advanced by Karl Pearson and Francis Galton almost simultaneously with the idea of the quantifying genetic resemblance in close relatives (see time line in Table 2.1). These two ideas fed off and complemented one another even before the term heritability was coined, as Fisher recounted in his seminal 1925 work:
One of the earliest and most striking successes of the method of correlation was in the biometrical study of inheritance. At a time when nothing was known of the mechanism of inheritance, or of the structure of the germinal material, it was possible by this method to demonstrate the existence of inheritance, and to “measure its intensity;” and this in an organism in which experimental breeding could not be practiced, namely, Man. (Fisher, 1925, p. 175)
Although the fundamental concepts of familial resemblance and heritability reviewed in this chapter were created for an earlier era of genetics when it was not possible to directly measure genes in humans, these ideas remain at the cornerstone of genetic epidemiology even today. Indeed, some of the most recent and powerful developments in linkage equilibrium and disequilibrium analyses rely heavily on the estimation and partitioning of heritable components due to different measured sources in the form of variance components models, such as a linked genetic marker and a measured candidate gene. Even approaches that do not rely upon the estimation of heritability per se often find it useful to “translate” effect sizes onto the heritability scale because it is such a convenient concept. Here we review the methods for estimating the magnitudes of unmeasured and measured effects and for testing hypotheses. We also review some of the relevant study designs and the corresponding statistical methods, factors affecting the estimation, and extensions developed to model more complex etiologic factors. This provides a foundation for the extensions that incorporate linkage and association developed in later chapters.
Section snippets
Family resemblance
Familial resemblance arises when relatives who share genes and/or environmental factors exhibit greater phenotypic similarity than do unrelated individuals. The extent of the familial resemblance can be measured by familial correlations (e.g., sibling, parent–offspring, and spouse). In general, biological relatives such as siblings share both genes and familial environments in common. Thus, familial resemblance can be a function of shared genes, shared environments, or both. In contrast, under
Study Designs and Multifactorial Models
The specificity of a given model in terms of what parameters can be estimated depends on the study design or the types of relatives included (e.g., twin, nuclear families, pedigrees, adoptions). Under some designs, the familial components (G and C) are not resolvable and are estimated as a single heritable component that represents all additive effects that are transmitted from parents to offspring. The assumptions underlying these study designs are also critical and are reviewed here.
Discussion
In 1986, Morton (1986) wrote: “Genetic epidemiology is now assimilating the rapid advances in molecular biology that promise a complete linkage map and molecular definition of disease loci…. When they are complete our morning will have passed into the afternoon of molecular epidemiology.”
Our morning of genetic epidemiology has revealed that complex traits generally involve additive and nonadditive interactions among several genes and environmental factors, none of which may entail large
Acknowledgments
This work was supported in part by a grant from the National Institute of General Medical Sciences (GM 28719) and a grant from the National Heart, Lung, and Blood Institute (HL54473), National Institutes of Health.
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