Clinical trial NCT00037232: Failure Time Methods for Family Disease Studies
Study type: OBSERVATIONAL
Overall status: COMPLETED
Conditions: Heart Diseases
Cardiovascular Diseases
Coronary Disease
Lead sponsor: National Heart, Lung, and Blood Institute (NHLBI)
Sponsor class: NIH
First posted: 2002-05-17
Sex: ALL
Maximum age (years): 100
Standard ages: CHILD
ADULT
OLDER_ADULT
Accepts healthy volunteers: no

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.

Eligibility criteria: No eligibility criteria

Primary outcomes:
Secondary outcomes:
Other outcomes:
Locations:
Study officials:
affiliation: University of California at San Francisco
name: David Glidden
References:
citation: Glidden DV. Robust inference for event probabilities with non-Markov event data. Biometrics. 2002 Jun;58(2):361-8. doi: 10.1111/j.0006-341x.2002.00361.x.
citation: St Jeor ST, Perumean-Chaney S, Sigman-Grant M, Williams C, Foreyt J. Family-based interventions for the treatment of childhood obesity. J Am Diet Assoc. 2002 May;102(5):640-4. doi: 10.1016/s0002-8223(02)90146-x. No abstract available.
citation: Glidden DV, Liang KY, Chiu YF, Pulver AE. Multipoint affected sibpair linkage methods for localizing susceptibility genes of complex diseases. Genet Epidemiol. 2003 Feb;24(2):107-17. doi: 10.1002/gepi.10215.
citation: Glidden DV, Liang KY. Ascertainment adjustment in complex diseases. Genet Epidemiol. 2002 Oct;23(3):201-8. doi: 10.1002/gepi.10204.
citation: Glidden DV, Vittinghoff E. Modelling clustered survival data from multicentre clinical trials. Stat Med. 2004 Feb 15;23(3):369-88. doi: 10.1002/sim.1599.