Failure Time Methods for Family Disease Studies

This study has been completed.
Sponsor:
Information provided by:
National Heart, Lung, and Blood Institute (NHLBI)
ClinicalTrials.gov Identifier:
NCT00037232
First received: May 16, 2002
Last updated: June 23, 2005
Last verified: May 2005

May 16, 2002
June 23, 2005
April 2001
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Complete list of historical versions of study NCT00037232 on ClinicalTrials.gov Archive Site
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Failure Time Methods for Family Disease Studies
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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.

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.

Observational
Observational Model: Defined Population
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  • Heart Diseases
  • Cardiovascular Diseases
  • Coronary Disease
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*   Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline.
 
Completed
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March 2005
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No eligibility criteria

Both
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Contact information is only displayed when the study is recruiting subjects
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NCT00037232
1140
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National Heart, Lung, and Blood Institute (NHLBI)
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Investigator: David Glidden University of California at San Francisco
National Heart, Lung, and Blood Institute (NHLBI)
May 2005

ICMJE     Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP