) Obesity increases the risk of developing cancer, particularly hormone- dependent cancer. Fifty-four percent of Americans are overweight or obese: women and ethnic minorities have the highest rates. While obesity is the result of an imbalance between energy intake and energy expenditure, the etiology of obesity differs from person to person. Thus, no single obesity prevention or treatment strategy will help every person; tailored inter- ventions hold the greatest promise. We therefore propose to link genetic, hormonal, and behavioral factors into individual obesity risk profiles to identify those at risk of developing obesity and the best interventions for them. We will capitalize on a unique data resource, the previously collected demographic, dietary, and behavioral data and plasma and DNA samples from 550 European Americans and 225 African Americans in the Women's Health Initiative.
Our first aim i s to ascertain the relationships between body mass index (BMI; =weight in kg /height in m exp 2) and (i) putative genetic determinants of obesity-related behavior, specifically two restriction fragment length polymorphisms of the D2 dopamine receptor gene (DRD2); (ii) hormonal determinants of obesity, specifically leptin, insulin-like growth factor 1 (IGF-1) and its major binding protein (BP-3), dehydroepiandrosterone DHEA) and its sulfated conjugate (DHEAS), estrone, estradiol, and sex hormone-binding globulin (SHBG);and (iii) behavioral determinants of obesity, including tobacco use; excessive alcohol use; high dietary intake of total calories, total fat, and total carbohydrates; low levels of physical activity; and depression. We will also construct a comprehensive obesity risk assessment profile of the most important genetic, hormonal, and behavioral, determinants we identify.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Exploratory/Developmental Grants (R21)
Project #
1R21CA086036-01
Application #
2859799
Study Section
Special Emphasis Panel (ZCA1-RLB-Y (01))
Program Officer
Nayfield, Susan G
Project Start
1999-08-06
Project End
2001-07-31
Budget Start
1999-08-06
Budget End
2000-07-31
Support Year
1
Fiscal Year
1999
Total Cost
Indirect Cost
Name
Baylor College of Medicine
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
074615394
City
Houston
State
TX
Country
United States
Zip Code
77030
Jung, Su Yon; Vitolins, Mara Z; Paskett, Electra D et al. (2015) Exogenous estrogen as mediator of racial differences in bioactive insulin-like growth factor-I levels among postmenopausal women. J Gerontol A Biol Sci Med Sci 70:495-502
Jung, Su Yon; Vitolins, Mara Z; Fenton, Jenifer et al. (2015) Risk profiles for weight gain among postmenopausal women: a classification and regression tree analysis approach. PLoS One 10:e0121430
Paxton, Raheem J; Jung, Su Yon; Vitolins, Mara Z et al. (2014) Associations between time spent sitting and cancer-related biomarkers in postmenopausal women: an exploration of effect modifiers. Cancer Causes Control 25:1427-37
Jung, Su Yon; Hursting, Stephen D; Guindani, Michele et al. (2014) Bioavailable insulin-like growth factor-I inversely related to weight gain in postmenopausal women regardless of exogenous estrogen. Cancer Epidemiol Biomarkers Prev 23:534-44