Completed

Defining an Obesity QTL on Chromosome 3q

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What is being collected

Data Collection

Collected from past medical records and data - Retrospective
Who is being recruted

Cardiovascular Diseases

+ Heart Diseases
+ Obesity
From 18 to 74 Years

See all eligibility criteria

How is the trial designed

Cohort

Tracking disease incidence in order to identify risk factors and understand disease progression over time.
Observational
Study Start: July 2004

See protocol details

Summary

Principal SponsorCase Western Reserve University
Last updated: February 23, 2022
Sourced from a government-validated database.Claim as a partner
Study start date: July 1, 2004Actual date on which the first participant was enrolled.

To investigate the genetic basis of obesity by fine mapping an obesity quantitative trail linkage (QTL) linked to chromosome 3q. BACKGROUND: In the last several decades obesity has emerged as a major public health threat. While prevention through lifestyle change is the only long-term solution, better understanding of the physiologic mechanisms would greatly assist development of drugs and targeted prevention. Obesity is a highly heritable condition and while genes must account for a substantial proportion of individual susceptibility they have eluded detection. Powerful new genetic and genomic tools now permit comprehensive evaluation of candidate genes, including all genes under linkage peaks. These tools include new genomic resources (the human genome sequence, databases of common SNPs, and the haplotype map), rapid and inexpensive discovery and genotyping and new analytic methods (haplotype-based association and admixture mapping). DESIGN NARRATIVE: In a large African American family set Dr. Zhu and colleagues have obtained strong linkage evidence for obesity on chromosome 3q (combined LOD score = 3.7). A prime candidate (adiponectin) lies near this peak. They propose to follow up that finding by combining the epidemiologic data with high-throughput genotyping and move from linkage to association analysis. The results for this QTL will be evaluated within the available environmental factors to assess potential gene-environment and gene-gene interactions. The available phenotypes include body composition, resting metabolic rate, physical activity, plasma insulin, glucose, and leptin. In a family-based design they will examine the linkage peak centered on position 188 cM on chromosome 3q (20 Cm 1-LOD support interval), with the following step-wise strategy: (a) Genotype 200 single nucleotide polymorphisms (SNPs) in this region on 300 families (1,000 individuals); (b) Conduct linkage, linkage disequilibrium and admixture mapping to potentially further narrow the region; and (c) Conduct resequencing and haplotype-based association studies for all candidate genes under the peak. Statistical analysis incorporating intermediate phenotypes and environmental covariates will be used to characterize potential gene x gene or gene x environment interactions. Replication will be tested in additional populations of African and European origin.

Official TitleDefining an Obesity QTL on Chromosome 3q 
Principal SponsorCase Western Reserve University
Last updated: February 23, 2022
Sourced from a government-validated database.Claim as a partner

Protocol

This section provides details of the study plan, including how the study is designed and what the study is measuring.
Design Details
1931 patients to be enrolledTotal number of participants that the clinical trial aims to recruit.
Cohort
These studies follow a group of individuals with common characteristics (such as a condition or birth year) over a specific period to study health outcomes or exposures.

How participants are selected
Participants are chosen using a random method, so everyone has a known and fair chance of being selected. This approach helps ensure the results reflect the broader population.
Another way to select participants is through a non-probability sample, where participants are selected without randomization, often based on availability or willingness to take part.

How information is collected
Researchers use data that has already been collected in the past, often through medical records or historical databases. This helps identify potential patterns or risk factors after outcomes have already occurred.Other Ways to Collect Data
Prospective: These studies collect new data moving forward over time.
Cross-sectional: These studies collect data at one single point in time.
Others: Some studies use a mix of approaches or less common designs depending on the research goal.

Eligibility

Researchers look for people who fit a certain description, called eligibility criteria: person's general health condition or prior treatments.
Conditions
Criteria
Any sexBiological sex of participants that are eligible to enroll.
From 18 to 74 YearsRange of ages for which participants are eligible to join.
Healthy volunteers allowedIf individuals who are healthy and do not have the condition being studied can participate.
Conditions
Pathology
Cardiovascular Diseases
Heart Diseases
Obesity
Criteria

The survey enrolled a representative random sample of the population the age of 18 and 74, regardless of obesity phenotype.

Study Plan

Find out more about all the medication administered in this study, their detailed description and what they involve.
Treatment Groups
2 intervention groups 

are designated in this study

This study does not include a placebo group 

Treatment Groups
Group I
The were 743 subjects were sampled from Maywood, Il. There was no intervention.
Group II
There were 1188 Nigerian sampled from Igbo-Ora and Ibadan, Nigeria. There was no intervention.

Study Centers

These are the hospitals, clinics, or research facilities where the trial is being conducted. You can find the location closest to you and its status.
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CompletedNo study centers