Original Contributions |
G and
E) between them, and the additive
genetic variance of each subfraction's response to the diets. On the
Chow diet, genetic correlations between the 3 subfractions were
significant, and we observed complete pleiotropy between
HDL1-C and HDL3-C (
G=-0.81). On
the HCSF diet, only the genetic correlation between HDL1-C
and HDL3-C (
G=-0.61) was significant.
Genetic correlations between individual subfractions on the Chow and
HCSF diets did not differ significantly from 1.0, indicating that the
same additive genes influenced each subfraction's levels regardless of
diet. However, the additive genetic variance of response to the diets
was highly significant for HDL1-C and HDL2-C,
but not for HDL3-C. Similar sets of genes influence
variation in the 3 HDL subfractions on the Chow diet, and the same set
influences variation in each subfraction on the HCSF diet. However, the
expression of genes influencing HDL1-C and
HDL2-C is altered by the HCSF diet, disrupting the
pleiotropy observed between the 3 subfractions on the Chow diet.
Key Words: atherosclerosis risk factors lipemic response dietary challenge animal models statistical genetics gradient gel electrophoresis
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