• VandeBerg, John L (PI)
  • Rainwater, David L (PI)
  • Almasy, Laura A (PI)
  • Blangero, John C (PI)
  • Comuzzie, Anthony G (PI)
  • Mahaney, Michael C (PI)
  • Dyer, Thomas (PI)
  • Braxton, Mitchell (PI)
  • Kammerer, Candace (PI)
  • Stern, Michael (PI)
  • Hixson, James (PI)
  • MacCluer, Jean (PI)
  • Dyke, Bennett (PI)

    Project: Research project

    Project Details


    The long-term goal of this Program Project is to identify individual genes
    that contribute to variation in susceptibility to coronary heart disease
    (CHD) in Mexican Americans. Hispanics are the fastest growing minority
    population in the United States and will soon be our largest minority
    group. This population has a high prevalence of CHD and of other disorders
    that adversely affect the lipoprotein profile, particularly non-insulin-
    dependent diabetes mellitus (NIDDM) and obesity. Nevertheless, very few
    genetic studies of intervening variables for CHD have been directed at this
    population, and the relationships among CHD, NIDDM and obesity remain
    poorly understood for any human population. This Program Project will focus on genes that influence the lipoprotein
    profile in members of randomly ascertained Mexican-American families, with
    particular emphasis on genetic effects on reverse cholesterol transport.
    An overall objective is to investigate the pleiotropic effects of these
    "lipoprotein genes" and their interactions with genes that affect NIDDM
    antecedents and body fat distribution. The interactions of lipoprotein
    genes with sex hormonal status and with environmental risk factors such as
    diet, exercise, and smoking will be investigated. Genetic effects on
    standard lipoprotein variables will be examined, e.g. plasma concentrations
    of lipoproteins and apolipoproteins. Several novel lipoprotein phenotypes
    also will be analyzed, e.g. amounts of esterified and unesterified
    cholesterol and of specific apolipoproteins in lipoprotein subclasses.
    Molecular, biochemical, and statistical genetic approaches will be used to
    detect, localize and characterize genes that influence quantitative
    phenotypes associated with lipoproteins, NIDDM, and obesity, and to
    quantify the effects of known candidate loci on these phenotypes.
    Effective start/end date9/1/913/31/14


    • National Institutes of Health: $92,960.00
    • National Institutes of Health: $2,491,120.00
    • National Institutes of Health: $2,491,120.00
    • National Institutes of Health: $2,491,086.00
    • National Institutes of Health: $2,491,120.00
    • National Institutes of Health: $2,494,758.00
    • National Institutes of Health: $2,509,495.00


    • Medicine(all)


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