
Heritability as a
Phenotype x Genotype correlation
Consider
the educational test
scores for 50 children born
to one set of parents and fostered by another set. The Mid-Parent Value (mean
score) of the birth parents (P, "Parent") is 105. The Mid-Parent
Value of the foster parents (F, "Foster") is 125, 20 points
higher than that of the birth parents. After adoption, the
children (C) are provided with an "enriched"
environment. Their test scores after fostering
collectively achieve the same average (125) as their adoptive
parents, again 20 points higher than their birth
parents.
What does this tell us about the heritability of test scores?
Despite
the mean difference of 20 points,
the correlation
r (which is equivalent to heritability, h2)
between birth parents and their children is rPxC = 0.639.
The adopted children collectively achieve an identical
mean score as the foster parents, however the
correlation between them is a negligible rCxF = 0.099.
The exercise shows that a trait that is perfectly heritable may
also
be perfectly
environmental. Enrichment improves mean
test scores for the group, but is not
predictable for any particular child.
This numerical example disproves a common and
invidious assumption, that heritability and
"genetics" are not equivalent.
It might be that adoptive
children are (deliberately or otherwise) placed with
foster parents with similar socio-economic
backgrounds as their birth parents. This might
contribute to a similarity in their mean test
scores. However, the correlation is also a
negligible rPxF
= 0.137.
HOMEWORK: The
calculation of heritability as a correlation
is straightforward as a spreadsheet
problem, and is instructive from statistical
first principles.