Skip to main content
Clinical Trials/NCT00035672
NCT00035672
Withdrawn
Not Applicable

Genetic Predictors of Incident Cardiovascular Disease

University of Michigan0 sitesMarch 2002

Overview

Phase
Not Applicable
Intervention
Not specified
Conditions
Cardiovascular Diseases
Sponsor
University of Michigan
Status
Withdrawn
Last Updated
8 years ago

Overview

Brief Summary

To evaluate how current genetic information about cardiovascular disease susceptibility genes contributes to the prediction of future cardiovascular disease outcomes.

Detailed Description

BACKGROUND: During the 1980s and 1990s, genetic research in cardiovascular disease (CVD), as well as other common chronic diseases, has been dominated by single gene linkage and association studies focused on understanding of the genetics of prevalent disease. Rarely have there been studies of the longitudinal predictive value of these genetic variations. Furthermore, few studies have attempted to address the complex and high-dimensional genetic reality that underlies an individual's risk of disease. A crucial next step in CVD genetic research is the evaluation of the contribution of variations in many genes simultaneously, and their interactions with traditional risk factors, to the longitudinal prediction of CVD in individuals and families. DESIGN NARRATIVE: The study uses participants from the Rochester Family Heart Study (RFHS) which provides one of the richest genetic epidemiological resources for this type of study. The RFHS represents 3941 individuals distributed among 552 three- generation pedigrees ascertained without regard to health status during two phases of collection. Phase I was from 1984 - 1988 and Phase II was from 1988 - 1991. These participants have extensive demographic, physiological, genetic, and clinical information measured at baseline. This study builds upon this already established resource by conducting a longitudinal follow-up of the RFHS participants to address two central questions: 1) Do measured genetic variations in known susceptibility genes provide additional predictive information about risk of future CVD outcomes beyond the information provided by more traditional risk factors? and 2) Do these measured genetic variations explain patterns of disease aggregation in families and can these patterns be used to predict disease in future generations?

Registry
clinicaltrials.gov
Start Date
March 2002
End Date
December 2007
Last Updated
8 years ago
Study Type
Observational
Sex
All

Investigators

Responsible Party
Principal Investigator
Principal Investigator

Sharon L.R. Kardia

Professor of Epidemiology

University of Michigan

Eligibility Criteria

Inclusion Criteria

  • Not provided

Exclusion Criteria

  • Not provided

Outcomes

Primary Outcomes

Not specified

Similar Trials