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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.
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.
Observational Model: Defined Population, Observational Model: Natural History
National Heart, Lung, and Blood Institute (NHLBI)
Published on BioPortfolio: 2014-08-27T03:56:06-0400
Genetically inherited heart diseases like hypertrophic cardiomyopathy (HCM) are conditions affecting the heart passed on to family members by abnormalities in genetic information. These co...
This project aimed to optimize the therapeutic strategy for structural heart disease by choosing optimal treatment, such as,surgical treatment,interventional and surgery combined with inte...
The objective of the study is to investigate congenital disorders of glycosylation in congenital heart diseases without a clear molecular or genetic basis.
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Occlusion of the outflow tract in either the LEFT VENTRICLE or the RIGHT VENTRICLE of the heart. This may result from CONGENITAL HEART DEFECTS, predisposing heart diseases, complications of surgery, or HEART NEOPLASMS.
Diseases characterized by pathological irregularities in the HEART CONDUCTION SYSTEM. They may be associated with other heart diseases and syndromes (e.g., BRUGADA SYNDROME; NEUROMUSCULAR DISEASE, HEART BLOCKS), isolated or may result from injuries. You can have a conduction disorder without having an arrhythmia, but some arrhythmias arise from conduction disorders. OMIM: 601144.
Diseases of long duration and generally slow progression. The four main types of noncommunicable diseases are CARDIOVASCULAR DISEASES (e.g., heart attacks and stroke), CANCER, chronic respiratory diseases (e.g., CHRONIC OBSTRUCTIVE PULMONARY DISEASE and ASTHMA) and DIABETES MELLITUS.
Pathological conditions involving the HEART including its structural and functional abnormalities.
A voluntary organization concerned with the prevention and treatment of heart and vascular diseases.
Cardiovascular disease (CVD)
Acute Coronary Syndromes (ACS) Blood Cardiovascular Dialysis Hypertension Stent Stroke Vascular Cardiovascular disease (CVD) includes all the diseases of the heart and circulation including coronary heart disease (angina...
Bioinformatics is the application of computer software and hardware to the management of biological data to create useful information. Computers are used to gather, store, analyze and integrate biological and genetic information which can then be applied...