Family Heart Study - Subclinical Atherosclerosis Network (FHS-SCAN)
To determine familial and non-familial causes for susceptibility to atherosclerosis and the inflammatory response.
|Study Start Date:||September 2001|
|Study Completion Date:||August 2006|
|Primary Completion Date:||August 2006 (Final data collection date for primary outcome measure)|
Atherosclerotic cardiovascular disease, along with its related health expenditures, mortality, and morbidity, remains among the most significant health-related conditions in the United States and other developed countries. The substantial resources that have been expended to investigate this problem have led to significant scientific advances in the basic biology, clinical management, epidemiology, and public health intervention approaches. Despite these real advances, there remains much more to be done in terms of understanding the basic biological and social processes, treatment, and public health programs.
Just as earlier research was effective in identifying a variety of epidemiologic risk factors for cardiovascular disease, recent advances make it possible to bring to bear a variety of new and powerful tools to detailed study of the basic processes involved in atherogenesis. Application of these tools, in combination with synthesis of prior basic and epidemiologic results, provides a powerful approach that is more model-driven than many previous studies.
The Subclinical Atherosclerosis Network is a multicenter study of the genetic epidemiology of coronary and aortic calcification and of inflammatory markers. It examines two areas of great interest in contemporary vascular medicine, namely vascular calcification and inflammation in approximately 3000 persons who have been recruited to the Family Heart Study, with additional persons of African American descent contributed by the HyperGEN Study. Considerable data, including a large number of genotypes, have been collected in the Family Heart Study. The subjects will be brought back for additional data collection, including the measurement of inflammatory markers and coronary and aortic calcification by computed tomography (CT).
The network will quantify coronary and aortic artery calcium volume in 441 selected, informative pedigrees ( approximately 3,000 individuals) previously examined and extensively genotyped ( approximately 400 markers spanning the genome) by the NHLBI Family Heart Study, in order to identify genes associated with human atherosclerosis. An additional 275 African American sibships (approximately 600 individuals, also examined and comparably genotyped) will be included to address these study questions in this high-risk population. Assessment of the inter-individual variability in the inflammatory burden and the host response, and the extensive metabolic, behavioral, and environmental data already collected on these pedigrees will provide enhanced phenotypic homogeneity and increased analytic power in assessing the genetic basis of atherosclerosis.
State of the art laboratory and statistical methods will be used to find, localize and characterize the influence of predisposing genes to atherosclerosis and the inflammatory response. Novel genetic analysis methods will be used to address the issues of phenotypic, genetic and population heterogeneity, epistasis, complex interactions among the genetic and environmental risk factors, and to optimize the detection of genomic regions affecting phenotypic susceptibility.
|Investigator:||John Carr||Wake Forest University|
|Investigator:||John Eckfeldt||University of Minnesota - Clinical and Translational Science Institute|
|Investigator:||R. Ellison||Boston University|
|Investigator:||Gerardo Heiss||University of North Carolina|
|Investigator:||James Hixson||University of Texas|
|Investigator:||Steven Hunt||University of Utah|
|Investigator:||Cora Lewis||University of Alabama at Birmingham|
|Investigator:||James Pankow||University of Minnesota - Clinical and Translational Science Institute|
|Investigator:||Michael Province||Washington University School of Medicine|
|Investigator:||Lynne Wagenknecht||Wake Forest University|