Obesity, hypertension, central fat, and non-insulin dependent diabetes mellitus (NIDDM) are more common among black than white women in the U.S. Reasons for this are unknown.
One aim of this research is to test the hypothesis that the greater frequency of these phenotypes among black women is, in part, genetically induced. Obesity is a """"""""risk factor"""""""" for hypertension, NIDDM, and hyperlipidemia. Whether obesity causally contributes to these conditions among black women is less clear. An alternative explanation must be ruled out. Specifically, the association between obesity and other cardiovascular disease (CVD) risk factors may solely result from each variable being produced by the same genetic factors.
The second aim of this research is to test, among black women, the hypothesis that the association between obesity and other CVD risk factors is not solely a function of joint genetic factors. Subjects will be 125 black twin pairs (250 individuals). Body fat will be determined by body composition analyses; Glucose tolerance via two-hour oral glucose tolerance test; Blood pressure via a """"""""random-zero"""""""" sphygmomanometer; and Serum lipids by chemical assays. To test Hypothesis 1, an index of racial admixture will be computed for each person, based on genetic markers known to occur with differential frequencies across races. If admixture is correlated with the CVD risk factors, the genetic aspect of race is presumably influential in CVD risk. To test Hypothesis 2, a multivariate genetic analysis will be conducted through structural equation modeling. Such an analysis allows one to determine if obesity is related to CVD risk factors independent of genotype. Black women are chosen for study because of their high rate of CVD and CVD risk factors and because they have been sorely neglected in this research area to date. This research has significance for public health initiatives and CVD prevention among black women. Finally, this is a first step toward a long-term goal of developing an ethnically heterogeneous twin registry for obesity related genetic research.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
First Independent Research Support & Transition (FIRST) Awards (R29)
Project #
5R29DK047256-05
Application #
2749504
Study Section
Epidemiology and Disease Control Subcommittee 2 (EDC)
Program Officer
Yanovski, Susan Z
Project Start
1994-08-15
Project End
2000-07-31
Budget Start
1998-08-01
Budget End
2000-07-31
Support Year
5
Fiscal Year
1998
Total Cost
Indirect Cost
Name
St. Luke's-Roosevelt Institute for Health Sciences
Department
Type
DUNS #
City
New York
State
NY
Country
United States
Zip Code
10019
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Allison, D B; Zannolli, R; Narayan, K M (1999) The direct health care costs of obesity in the United States. Am J Public Health 89:1194-9
Allison, D B; Egan, S K; Barraj, L M et al. (1999) Estimated intakes of trans fatty and other fatty acids in the US population. J Am Diet Assoc 99:166-74;quiz 175-6
Allison, D B; Heo, M; Kaplan, N et al. (1999) Sibling-based tests of linkage and association for quantitative traits. Am J Hum Genet 64:1754-63
Faith, M S; Pietrobelli, A; Nunez, C et al. (1999) Evidence for independent genetic influences on fat mass and body mass index in a pediatric twin sample. Pediatrics 104:61-7
Bartlett, S J; Faith, M S; Fontaine, K R et al. (1999) Is the prevalence of successful weight loss and maintenance higher in the general community than the research clinic? Obes Res 7:407-13
Allison, D B; Zannolli, R; Faith, M S et al. (1999) Weight loss increases and fat loss decreases all-cause mortality rate: results from two independent cohort studies. Int J Obes Relat Metab Disord 23:603-11
Allison, D B; Beasley, M (1998) Method and computer program for controlling the family-wise alpha rate in gene association studies involving multiple phenotypes. Genet Epidemiol 15:87-101
Allison, D B; Heo, M; Faith, M S et al. (1998) Meta-analysis of the association of the Trp64Arg polymorphism in the beta3 adrenergic receptor with body mass index. Int J Obes Relat Metab Disord 22:559-66
Muhlheim, L S; Allison, D B; Heshka, S et al. (1998) Do unsuccessful dieters intentionally underreport food intake? Int J Eat Disord 24:259-66

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