Ignite Creation Date:
2024-05-05 @ 11:25 AM
Last Modification Date:
2024-10-26 @ 9:07 AM
Study NCT ID:
NCT00037232
Status:
COMPLETED
Last Update Posted:
2016-03-16
First Post:
2002-05-16
Brief Title:
Failure Time Methods for Family Disease Studies
Sponsor:
National Heart Lung and Blood Institute NHLBI
Organization:
National Heart Lung and Blood Institute NHLBI
Study Overview
Official Title:
None
Status:
COMPLETED
Status Verified Date:
2005-05
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 develop statistical methodologies to study genetic and environmental factors in cardiovascular disease using age at onset data from population-based family studies of disease incidence
Detailed Description:
BACKGROUND
In the study of chronic diseases both environmental and genetic factors can be influential In highly common diseases such as coronary heart disease genetic effects may be more influential in determining the age of onset of the disease than in determining whether or not one gets the disease When sufficient information is available family studies can help localize possible disease genes on the human chromosome through genetic linkage analysis and familial aggregation of disease can help separate the effects of inheritance environment and lifestyle on the risk of disease
DESIGN NARRATIVE
The study developed 1 a general strategy for evaluating the fit of parametric dependence models for familial clustering of ages at disease-onset 2 a computationally simple method for genetic linkage analysis of age at onset data 3 application and illustration of recently developed additive frailty models for complex familial dependence structures Method 1 was applied to a family study of cardiovascular disease and a twin study of appendectomy Method 2 was applied to ongoing genetic studies conducted at the University of California at San Francisco Method 3 was applied to a family study of coronary heart disease in Western Australia Well-documented user-friendly programs were developed and made publicly available
The study completion date listed in this record was obtained from the End Date entered in the Protocol Registration and Results System PRS record
In the study of chronic diseases both environmental and genetic factors can be influential In highly common diseases such as coronary heart disease genetic effects may be more influential in determining the age of onset of the disease than in determining whether or not one gets the disease When sufficient information is available family studies can help localize possible disease genes on the human chromosome through genetic linkage analysis and familial aggregation of disease can help separate the effects of inheritance environment and lifestyle on the risk of disease
DESIGN NARRATIVE
The study developed 1 a general strategy for evaluating the fit of parametric dependence models for familial clustering of ages at disease-onset 2 a computationally simple method for genetic linkage analysis of age at onset data 3 application and illustration of recently developed additive frailty models for complex familial dependence structures Method 1 was applied to a family study of cardiovascular disease and a twin study of appendectomy Method 2 was applied to ongoing genetic studies conducted at the University of California at San Francisco Method 3 was applied to a family study of coronary heart disease in Western Australia Well-documented user-friendly programs were developed and made publicly available
The study completion date listed in this record was obtained from the End Date entered in the Protocol Registration and Results System PRS record
Study Oversight
Has Oversight DMC:
Is a FDA Regulated Drug?:
Is a FDA Regulated Device?:
Is an Unapproved Device?:
Is a PPSD?:
Is a US Export?:
Is an FDA AA801 Violation?:
Secondary IDs
| Secondary ID | Type | Domain | Link |
|---|---|---|---|
| R01HL065411 | NIH | None | httpsreporternihgovquickSearchR01HL065411 |