Genomic Search for Childhood Obesity Genes-A Pilot Study
| Status: | Completed |
|---|---|
| Conditions: | Obesity Weight Loss |
| Therapuetic Areas: | Endocrinology |
| Healthy: | No |
| Age Range: | 2 - 8 |
| Updated: | 4/2/2016 |
| Start Date: | June 2007 |
| End Date: | June 2008 |
| Contact: | Merlin G Butler, M.D., Ph.D. |
| Email: | mgbutler@cmh.edu |
| Phone: | 816-234-3290 |
The purpose of this study is to screen a pediatric population (ages 2-8) for genes
associated with childhood obesity.
associated with childhood obesity.
The incidence of childhood obesity has been growing at an epidemic rate for the past several
years, in part due to the lack of understanding of mechanisms at a molecular level. This
study will screen a healthy general pediatric population age 2 to 8 for potential genes
associated with childhood obesity using whole genomic gene arrays. Patients with BMI values
equal to or greater than the 85th percentile will be compared to patients with a BMI below
or equal to the 15th percentile. The INSIG2 gene will be specifically studied because of its
identification in several populations of obese subjects. The differences in gene expression
of the 2 groups will then be used to identify new genes for investigation in childhood
obesity.
years, in part due to the lack of understanding of mechanisms at a molecular level. This
study will screen a healthy general pediatric population age 2 to 8 for potential genes
associated with childhood obesity using whole genomic gene arrays. Patients with BMI values
equal to or greater than the 85th percentile will be compared to patients with a BMI below
or equal to the 15th percentile. The INSIG2 gene will be specifically studied because of its
identification in several populations of obese subjects. The differences in gene expression
of the 2 groups will then be used to identify new genes for investigation in childhood
obesity.
Inclusion Criteria:
- Ages 2-8, predominately Caucasian to minimize population stratification
Exclusion Criteria:
- Chronic diseases (diabetes, cancer, etc) and known syndromes
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