DELINEATION OF PHENOTYPES AND GENETIC MARKERS IN YOUNG OBESE CHILDREN

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This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Recently, there has been an unprecedented rise of obesity in prepubertal children. This rise has not impacted all children, but only those with certain genetic-environmental interactions. Using an IRB -approved database of overweight children seen at CMH clinics in 2006, we can identify hundreds of extremely overweight young children for intensive studies that may reveal contributing genetic and environmental factors. The purpose of this first study is to collect information that will allow us to identify phenotypes in overweight pre-pubertal children, and also to explore genetic bases of these phenotypes when they are identified. We collect information on overweight children (greater than 97th percentile BMI for age and gender); take physical measurements and blood tests on these children, parents and siblings; and obtain family histories, and eating and activity habits. Physical measurements on all subjects include height, weight, waist circumference, % body fat (by impedence), and blood pressure. Index children also are assessed for Tanner stage and acanthosis nigricans. Labs obtained include: fasting lipids; 2-hour oral glucose tolerance test (except on pregnant mothers and parents with diabetes); ALT; DNA (stored for future use); and blood for future analyses. The index child also has a full body DEXA scan. We seek to enroll one hundred and fifty (150) families. This will yield up to six hundred subjects when including the child, parents, and one sibling. The first phase, funded by internal funds and GCRC support, will include ~40 families. The data collected will allow preliminary analysis of familial phenotype factor clustering, and also the association of phenotypes with eating and activity habits.