Cardiovascular Diseases Clinical Trial
Official title:
Genetic Epidemiology of Change in CVD Risk Factors (HL70568-1)
To extend knowledge of the genetic factors affecting the course of cardiovascular disease risk factor development over a substantial portion of an individual's lifetime.
BACKGROUND:
While the onset of symptomatic cardiovascular disease (CVD) typically occurs in middle age
or later, the development of the underlying pathology is clearly a long-term process, and
early-state lesions having been identified at autopsy even in children. Understanding the
course of CVD risk development from childhood into middle age will clearly be valuable both
in understanding the pathology of CVD and in targeting preventive measures most effectively.
Furthermore, while genetic factors are agreed to play a significant role in the development
of CVD, most genes contributing to interindividual variation in CVD risk will have
relatively small effects on risk for any given individual, even though their aggregate
effects contribute significantly to CVD risk in the overall population. Relatively little is
known about the effects of genetic variants on the course of CVD risk factor development in
individuals over time. The Bogalusa Heart Study (BHS), which began in 1973 as a study of CVD
risk factors in children but evolved to cover the development of CVD risk factors from
childhood into early middle age, offers an unparalleled resource for investigating the
genetic factors influencing within-individual changes over time in quantitative factors,
such as serum lipids and blood pressure, related to CVD risk.
DESIGN NARRATIVE:
Approximately 1500 individuals who were examined in the BHS on at least three separate
occasions over a period of up to 20 years, and who consented to participate in studies of
genetic factors influencing CVD risk, will have genotypes measured at selected loci either
known or strongly suspected to affect interindividual variation in CVD risk. Longitudinal
multilevel regression will be used to measure the effects of variation at these loci on
quantitative CVD risk factor profiles within individuals and to determine whether some gene
effects on CVD risk variation are age-dependent.
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Observational Model: Ecologic or Community, Time Perspective: Prospective
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