Modeling DNA Diversity in Cardiovascular Health/Disease
|First Received Date ICMJE||May 25, 2000|
|Last Updated Date||June 23, 2005|
|Start Date ICMJE||August 1997|
|Primary Completion Date||Not Provided|
|Current Primary Outcome Measures ICMJE||Not Provided|
|Original Primary Outcome Measures ICMJE||Not Provided|
|Change History||Complete list of historical versions of study NCT00005490 on ClinicalTrials.gov Archive Site|
|Current Secondary Outcome Measures ICMJE||Not Provided|
|Original Secondary Outcome Measures ICMJE||Not Provided|
|Current Other Outcome Measures ICMJE||Not Provided|
|Original Other Outcome Measures ICMJE||Not Provided|
|Brief Title ICMJE||Modeling DNA Diversity in Cardiovascular Health/Disease|
|Official Title ICMJE||Not Provided|
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.
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.
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.
|Study Type ICMJE||Observational|
|Study Design ICMJE||Not Provided|
|Target Follow-Up Duration||Not Provided|
|Sampling Method||Not Provided|
|Study Population||Not Provided|
|Intervention ICMJE||Not Provided|
|Study Group/Cohort (s)||Not Provided|
* Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline.
|Recruitment Status ICMJE||Completed|
|Enrollment ICMJE||Not Provided|
|Completion Date||June 2003|
|Primary Completion Date||Not Provided|
|Eligibility Criteria ICMJE||
No eligibility criteria
|Accepts Healthy Volunteers||No|
|Contacts ICMJE||Contact information is only displayed when the study is recruiting subjects|
|Location Countries ICMJE||Not Provided|
|NCT Number ICMJE||NCT00005490|
|Other Study ID Numbers ICMJE||5007|
|Has Data Monitoring Committee||Not Provided|
|Responsible Party||Not Provided|
|Study Sponsor ICMJE||National Heart, Lung, and Blood Institute (NHLBI)|
|Collaborators ICMJE||Not Provided|
|Information Provided By||National Heart, Lung, and Blood Institute (NHLBI)|
|Verification Date||February 2005|
ICMJE Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP