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Genetic Predictors of Incident Cardiovascular Disease

This study has been withdrawn prior to enrollment.
Sponsor:
ClinicalTrials.gov Identifier:
NCT00035672
First Posted: May 6, 2002
Last Update Posted: November 20, 2017
The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details.
Collaborator:
National Heart, Lung, and Blood Institute (NHLBI)
Information provided by (Responsible Party):
Sharon L.R. Kardia, University of Michigan
  Purpose
To evaluate how current genetic information about cardiovascular disease susceptibility genes contributes to the prediction of future cardiovascular disease outcomes.

Condition
Cardiovascular Diseases Heart Diseases

Study Type: Observational
Study Design: Observational Model: Cohort
Time Perspective: Retrospective

Further study details as provided by Sharon L.R. Kardia, University of Michigan:

Enrollment: 0
Study Start Date: March 2002
Study Completion Date: December 2007
Primary Completion Date: December 2007 (Final data collection date for primary outcome measure)
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?

  Eligibility

Information from the National Library of Medicine

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Ages Eligible for Study:   up to 100 Years   (Child, Adult, Senior)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
Criteria
No eligibility criteria
  Contacts and Locations
Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT00035672


Sponsors and Collaborators
University of Michigan
National Heart, Lung, and Blood Institute (NHLBI)
Investigators
OverallOfficial: Sharon Kardia University of Michigan
  More Information

Publications:
Responsible Party: Sharon L.R. Kardia, Professor of Epidemiology, University of Michigan
ClinicalTrials.gov Identifier: NCT00035672     History of Changes
Other Study ID Numbers: 997
R01HL068737 ( U.S. NIH Grant/Contract )
First Submitted: May 4, 2002
First Posted: May 6, 2002
Last Update Posted: November 20, 2017
Last Verified: November 2017

Additional relevant MeSH terms:
Cardiovascular Diseases
Heart Diseases