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Completed No phase listed Observational Accepts healthy volunteers

Bad Genes or Genes Behaving Badly

ClinicalTrials.gov ID: NCT01041664

Public ClinicalTrials.gov record NCT01041664. Field values are reproduced from the official study page; the official ClinicalTrials.gov record remains the source of truth for eligibility, enrollment, and contact information.

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Data is sourced from official ClinicalTrials.gov public API records. Always review the official ClinicalTrials.gov record for the latest information.

Brief summary

Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.

A key factor in the determination of body composition over the lifecourse is fat accumulation during childhood. Periods of life associated with the greatest changes in organ development and growth, i.e. early childhood, have the most significant effect on body composition, energy balance, and metabolism. Early childhood (age 3 to 7 years) represents a critical transition for the basis of adaptability in body composition, due to the rapid growth and development that occurs. Plausibly the phenotype underlying obesity and related health risk may be determined by body composition during this critical period. Our previous research in children has consistently indicated that HA children accumulate greater amounts of fat, particularly in the intra-abdominal compartment, even at similar a BMI, and lower bone mineral content relative to EA children. The reason for these differences in body composition over the lifecourse is not clear. Racial/ethnic differences in risk factors for health, including 'thriftiness' in body fat accumulation are often evident before the age of 7, suggesting that the racial/ethnic differences in energy utilization and subsequent fat storage may be accounted for by genetic make-up, the environment (e.g. diet), or an interaction of the two. The physiologic or behavioral process(es) that cause(s) certain children to take a trajectory towards obesity while others accrue less fat is not known. However, the economic decision of fuel utilization is a physiologic trait enabling the body to choose between shuttling 'energy' towards accrual of a particular tissue (e.g. bone vs. fat) and this trait likely has a genetic component. This genetic component may be embedded in fat storage capacity evolved from gene by environment interactions that promote thrift, particularly conserved in some populations. Although genetic background plays a role, it not known whether there is a relationship between genetic background, known candidate genes or candidate pathways and environmental contributors (e.g. diet) that impact body composition trajectory. Of central importance to our understanding of early fat mass accumulation in health disparities are the mechanisms that lead to chronic disease progression. It is likely that variations within candidate genes may have a differential impact on individuals based on their genetic background. It is also probable that body composition is influenced by many genes, often within the same metabolic pathways, with small individual effects. These genes may not be significantly associated individually, but when examined as a unit (in a candidate pathway or gene-gene interaction framework) the association becomes significant. Further, children's early environmental exposures (e.g. diet) may interact with both genetic background and variations in candidate genes along resulting in alterations in body composition that predispose HA to excess fat accumulation throughout the lifecourse. To that end, the following specific aims will be evaluated: Aim 1. To examine the associations between genetic admixture and body composition in children aged 3-7 years after controlling for dietary intake. 1. Hypothesis 1.1: There is a direct association between Amerindian admixture and fat mass and in inverse association between Amerindian admixture and bone mass. 2. Hypothesis 1.2: There is a direct association between energy intake and fat accumulation and the relationship will be particularly evident in individuals with a greater proportion of Amerindian admixture. Aim 2. To examine the associations between genetic admixture and bone marrow fat in children aged 3-7 years after controlling for dietary intake. 1. Hypothesis 2.1: There is a direct association between Amerindian admixture and bone marrow fat. 2. Hypothesis 2.2: There is a direct association between energy intake and fat accumulation in bone marrow and the relationship will be particularly evident in individuals with a greater proportion of Amerindian admixture. Aim 3. To examine the relationship between variation in candidate genes and pathways and Amerindian admixture controlling for dietary intake. a. Hypothesis 3.1: Amerindian admixture will be associated with variations in candidate genes and pathways known to be associated with fat accumulation.

Study identification

NCT ID
NCT01041664
Recruitment status
Completed
Study type
Observational
Phase
Not listed
Enrollment
30 participants

Conditions and interventions

Interventions

Not listed

Eligibility (public fields only)

Age range
3 Years to 7 Years
Sex
All
Healthy volunteers
Accepts healthy volunteers

This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.

Study timeline

Start date
Nov 30, 2009
Primary completion
Nov 30, 2010
Completion
May 31, 2011
Last update posted
Nov 24, 2019

2009 – 2011

United States locations

U.S. sites
1
U.S. states
1
U.S. cities
1
Facility City State ZIP Site status
UAB Birmingham Alabama 35294

Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.

About this trial record page

What this page shows
Public field values for ClinicalTrials.gov record NCT01041664, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
What this page does not do
No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
Where the data comes from
Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
Last refresh
Last update posted Nov 24, 2019 · Synced Sep 5, 2026

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