Increased levels of low density lipoprotein (LDL) cholesterol and trig
lyceride, and low levels of high density lipoprotein (HDL) cholesterol
, are associated with increased risk of coronary heart disease (CHD).
Only a minor part of the variation in lipids can be explained by defec
ts in single genes of large effect; the bulk of variation in most case
s is due to the interaction of polygenes and environment. This paper d
escribes a strategy for unravelling such complex genetic effects in th
e population at large. A person's risk of developing CHD is, however,
not determined by levels of circulating lipids alone, but by a number
of factors which contribute to his or her global risk. Based on the da
ta of the Munster Heart Study (PROCAM), a multiple logistic function u
sing nine independent variables for the prediction of risk has been de
veloped. This function allows an almost 40-fold degree discrimination
in risk between persons in the lowest and highest quintiles of the alg
orithm. Data from the Munster Heart Study and other prospective studie
s indicates a log-linear relationship between LDL cholesterol and CHD
risk. The results of recent large scale intervention trials indicate t
hat this relationship also holds true for LDL levels which are achieve
d by treatment. This indicates that the benefit achieved by cholestero
l lowering is greatest at high baseline LDL. cholesterol levels, and t
hat at least for LDL cholesterol levels of greater than or equal to 80
mg.dl(-1), there is no theoretical threshold below which lowering of
LDL cholesterol cannot be expected to reduce CHD risk. However, at low
LDL cholesterol levels the benefits of treatment may be outweighed by
side-effects and by practical cost-benefit considerations. These issu
es are also discussed in detail in the present report.