Cardiovascular Diseases Clinical Trial
To identify and measure DNA sequence variation in 13 genes that play a central role in key physiological functions involved in the development of cardiovascular disease, that is, genes involved in lipid metabolism, carbohydrate metabolism, and blood pressure regulation.
BACKGROUND:
One of the most complex and challenging problems in human biology and medicine is defining
the relationship between DNA sequence variation and interindividual variation in
quantitative risk factors for complex diseases having a multifactorial etiology. As the
knowledge about the basic human DNA sequence increases, so will the need to define the range
of natural variation in human populations and to explore the relationship between nucleotide
diversity and phenotype variation in measures of human health.
DESIGN NARRATIVE:
The study was a collaborative one involving Dr. Deborah Nickerson at the University of
Washington, Dr. Kenneth Weiss at Pennsylvania State University, and Dr. Charles Sing of the
University of Michigan. Dr. Nickerson identified and measured DNA sequence variation in 13
genes that play a central role in key physiological functions involved in the development of
cardiovascular disease. She applied state-of-the-art automated fluorescence-based sequencing
and high-throughput DNA genotyping methods to uncover and assess DNA sequence variation in
three human populations: non-Hispanic Whites from Rochester, MN (lowCVD risk),
African-Americans from Jackson, MS (intermediate CVD risk) and non-Hispanic Whites from
North Karelia,Finland (high CVD risk).
Dr. Weiss used the theoretical and statistical approaches of molecular population genetics
to characterize the cumulative effects of population history on the amount, distribution,
and structure of extant variation in 13 candidate CVD susceptibility genes in three
populations. His tests of linkage equilibrium and of homogeneity of the variation across
several levels of stratification (among individuals, demographic variables, parts of genes,
populations, and among genes) further sharpened the understanding of the nature of human
genetic variation, particularly with respect to candidate CVD susceptibility genes. He made
inferences about functional constraints from gene trees and from patterns of divergence
among human populations and between humans and the chimpanzee. Dr. Weiss's project provided
the inferential engine that drove the sampling design and sample selection in Dr.
Nickerson's project and provided the demographic/historical background necessary for
genotype-phenotype inferences of Dr. Sing's project.
Dr. Sing developed models for the relationships between the DNA sequence variation in the 13
candidate CVD susceptibility genes identified, measured, and characterized in Dr.
Nickerson's and Dr. Weiss's projects and variation in established quantitative risk factors
for CVD, including total plasma cholesterol, HDL cholesterol, and triglycerides, and
systolic and diastolic blood pressure collected from the 1,500 individuals. His project
established which subset of DNA sequence variations in which candidate genes were associated
with variation in CVD risk factors in which subset of individuals and in which of three
populations. His elucidation of the relationships between DNA sequence variations and
variations in intermediate biological risk factor traits revealed opportunities for
intervention to alter the risk of CVD and establish whether such efforts should be directed
across populations, within a population, or at an individual.
The study completion date listed in this record was obtained from the "End Date" entered in
the old format Protocol Registration and Results System (PRS).
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