Next: 2 Analyzing Direction of
Up: 5 Relationships between Variables
Previous: 5 Relationships between Variables
  Index
The question of what causes variables to correlate is the usual entry
point to multivariate genetic analysis. Students of genetics have
long been familiar with the concept of pleiotropy,
i.e., that one genetic factor can affect several different phenotypes.
Obviously, we can imagine environmental advantages and insults that
affect many traits in a similar way. Students of the psychology of
individual differences, and especially of factor analysis, will be
aware that Spearman introduced the concept
of the ``general intelligence factor'' as a latent variable accounting
for the pattern of correlations observed between multiple abilities.
He also introduced an empirical test (the method of tetrad
differences) of the consistency between his general factor theory and
the empirical data on the correlations between abilities. Such factor
models however, only operate at the descriptive phenotypic level.
They aggregate into a single model genetic and environmental processes
which might be quite separate and heterogeneous if only the genetic
and environmental causes of inter-variable correlation could be
analyzed separately. Cattell recognized this when he put forward
the notion of ``fluid'' and ``crystallized''
intelligence. The former was dependent primarily on genetic processes
and would tend to increase the correlation between measures that index
genetic abilities. The latter was determined more by the content of
the environment (an ``environmental mold'' trait) and would thus
appear as loading more on traits that reflect the cultural
environment. An analysis of multiple symptoms of anxiety and
depression by Kendler et al. (1986)
illustrates very nicely the point that the pattern
of genetic and environmental effects on multiple measures may differ
very markedly. They showed that twins' responses to a checklist of
symptoms reflected a single underlying genetic dimension which
influenced symptoms of both anxiety and depression. By contrast, the
effects of the environment were organized along two dimensions
(``group factors'') -- one affecting only symptoms of anxiety and the
other symptoms of depression. More recently, this finding has been
replicated with psychiatric diagnoses [,], which suggests that the
liability to either disorder is due to a single common set of genes,
while the specific expression of that liability as either anxiety or
depression is a function of what kind of environmental event triggers
the disorder in the vulnerable person. Such insights are impossible
without methods that can analyze the correlations between multiple
measures into their genetic and environmental components.
Next: 2 Analyzing Direction of
Up: 5 Relationships between Variables
Previous: 5 Relationships between Variables
  Index
Jeff Lessem
2002-03-21