Abstract-In this essay, we call to attention what every medical researcher knows about the etiology of cardiovascular disease but most deny, or choose to ignore, when designing, carrying out, and reporting genetic studies. Medical research is entering an era of synthesis that will take advantage of the successes of reductionism over the past decade in defining and describing human genome variations. Meaningful insights into the role of such variation requires a biological model of genome-phenotype relationships that incorporates interactions between subsets of possible genetic and environmental agents as causations in particular contexts indexed by time and space. We make recommendations for what needs to be done to cope with these complexities.
The ProblemCommon chronic multifactorial diseases are responsible for the greatest demand on medical services. 1-3 They also make the largest contribution to loss of human life and productivity in westernized societies (eg, see Murray and Lopez 4 and the American Heart Association 5-7 ). Deviations from health attributable to these diseases, which include cardiovascular disease (CVD), cancer, diabetes, and the psychiatric disorders, typically aggregate in families but they do not segregate as Mendelian single-gene disorders. The distribution of disease among individuals, families, and populations is a direct consequence of the distribution of interactions between the effects of many susceptibility genes and many environmental exposures, that, through dynamic, epigenetic, regulatory mechanisms, ultimately become integrated to generate the disease phenotype. 8 -18 The genetic analysis of a multifactorial disease presents the most difficult research challenge facing human geneticists today. We consider CVD in this presentation to illustrate the issues encountered in using genetic information in research to understand the etiology of most common chronic diseases as well as in the identification and treatment of individuals who are at increased risk. We call to attention what every cardiovascular researcher knows about the etiology of CVD but most deny, or choose to ignore, when designing, carrying out, and reporting genetic studies of CVD. We close by suggesting steps that should be taken to cope with this inconsistency.
Disease SusceptibilityAll cases of CVD have a complex multifactorial etiology. Neither genetic nor environmental agents acting independently cause disease. Full knowledge about an individual's genetic makeup or exposures to adverse environments cannot predict with certainty the onset, progression, or severity of disease. Disease develops as a consequence of interactions between the "initial" conditions, coded in the genotype, and exposures to environmental agents indexed by time and space 19 -21 that are integrated by dynamic, regulatory networks at levels above the genome. 22 The interaction of an individual's environmental experiences with her/his genotype determines the history of her/his multidimensional phenotype, beginning at conception and continui...