Failure Time Methods for Family Disease Studies
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|ClinicalTrials.gov Identifier: NCT00037232|
Recruitment Status : Completed
First Posted : May 17, 2002
Last Update Posted : March 16, 2016
|Condition or disease|
|Heart Diseases Cardiovascular Diseases Coronary Disease|
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.
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 Type :||Observational|
|Study Start Date :||April 2001|
|Actual Study Completion Date :||March 2005|
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): NCT00037232
|OverallOfficial:||David Glidden||University of California at San Francisco|