Ignite Creation Date:
2024-05-05 @ 11:25 AM
Last Modification Date:
2024-10-26 @ 9:07 AM
Study NCT ID:
NCT00035672
Status:
WITHDRAWN
Last Update Posted:
2017-11-20
First Post:
2002-05-04
Brief Title:
Genetic Predictors of Incident Cardiovascular Disease
Sponsor:
University of Michigan
Organization:
University of Michigan
Study Overview
Official Title:
None
Status:
WITHDRAWN
Status Verified Date:
2017-11
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
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 individuals 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
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 individuals 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
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None
Secondary IDs
| Secondary ID | Type | Domain | Link |
|---|---|---|---|
| R01HL068737 | NIH | None | httpsreporternihgovquickSearchR01HL068737 |