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Failure Time Methods for Family Disease Studies

National Institutes of Health (NIH) logo

National Institutes of Health (NIH)

Status

Completed

Conditions

Cardiovascular Diseases
Coronary Disease
Heart Diseases

Study type

Observational

Funder types

NIH

Identifiers

NCT00037232
1140
R01HL065411 (U.S. NIH Grant/Contract)

Details and patient eligibility

About

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.

Full 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.

Sex

All

Ages

Under 100 years old

Volunteers

No Healthy Volunteers

Inclusion and exclusion criteria

No eligibility criteria

Trial contacts and locations

0

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Data sourced from clinicaltrials.gov

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