Genome Scan for Obesity in a Multi-Ethnic Sample

Obesity Clinical Trial

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT00037271
• Other study ID #: 1158
• Secondary ID: R03HL065702
• Status: Completed
• Phase: N/A
• First received: May 16, 2002
• Last updated: February 17, 2016
• Start date: April 2001
• Est. completion date: March 2003

Study information

• Verified date: August 2004
• Source: National Heart, Lung, and Blood Institute (NHLBI)
• Contact: n/a
• Is FDA regulated: No
• Health authority: United States: Federal Government
• Study type: Observational

Clinical Trial Summary

To scan the genome for obesity in a multi-ethnic sample.

Description:

BACKGROUND:

Despite intensive efforts the genetic basis of obesity has been difficult to establish. Linkage analysis using a genome-wide scan can potentially identify genomic regions not previously thought to be associated with susceptibility to obesity and provides a comprehensive test of the consistency of previous studies. The study used the considerable resources generated by the four cooperating networks in the NHLBI-supported "Family Blood Pressure Program" (FBPP) to conduct a genome-wide scan data for obesity.

DESIGN NARRATIVE:

In the Family Blood Pressure Program, microsatellite markers were typed at a density of -10cM by the Mammalian Genotyping Service (MGS) in Marshfield, WI. The complete data set was to include 9,940 individuals representing 4 ethnic groups (white, black, Hispanic and Asian). Obesity was characterized as a weight/height ratio (body mass index) and waist/hip ratio. This data set was larger than any prior genome scan for obesity, and the inclusion of multiple ethnic groups made it possible to examine genetic heterogeneity. The specific aims of the study were to conduct linkage and association analyses to localize regions influencing obesity. Investigators worked closely with the FBPP Coordinating Center (Washington University, St. Louis) and investigators from each of the four FBPP networks. Evidence was sought for consistency between results obtained from analyses of the genome scan performed by each of the individuals, and results summarized from the literature, with those found in meta-analysis.

The study completion date listed in this record was obtained from the "End Date" entered in the Protocol Registration and Results System (PRS) record.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 0
• Est. completion date: March 2003
• Accepts healthy volunteers: No
• Gender: Both
• Age group: N/A to 100 Years
• Eligibility: No eligibility criteria

Study Design

N/A

Related Conditions & MeSH terms

• Cardiovascular Diseases
• Heart Diseases
• Obesity

Locations

Country	Name	City	State
n/a

Sponsors (1)

Lead Sponsor	Collaborator
National Heart, Lung, and Blood Institute (NHLBI)

References & Publications (7)

Huang J, Jiang Y. Genetic linkage analysis of a dichotomous trait incorporating a tightly linked quantitative trait in affected sib pairs. Am J Hum Genet. 2003 Apr;72(4):949-60. Epub 2003 Mar 17. — View Citation

Wu X, Cooper RS, Borecki I, Hanis C, Bray M, Lewis CE, Zhu X, Kan D, Luke A, Curb D. A combined analysis of genomewide linkage scans for body mass index from the National Heart, Lung, and Blood Institute Family Blood Pressure Program. Am J Hum Genet. 2002 May;70(5):1247-56. Epub 2002 Mar 28. — View Citation

Zhu X, Chang YP, Yan D, Weder A, Cooper R, Luke A, Kan D, Chakravarti A. Associations between hypertension and genes in the renin-angiotensin system. Hypertension. 2003 May;41(5):1027-34. Epub 2003 Apr 14. — View Citation

Zhu X, Cooper RS, Luke A, Chen G, Wu X, Kan D, Chakravarti A, Weder A. A genome-wide scan for obesity in African-Americans. Diabetes. 2002 Feb;51(2):541-4. Erratum in: Diabetes 2003 Jan;52(1):223. — View Citation

Zhu X, Cooper RS. Linkage disequilibrium analysis of the renin-angiotensin system genes. Curr Hypertens Rep. 2003 Feb;5(1):40-6. Review. — View Citation

Zhu X, Yan D, Cooper RS, Luke A, Ikeda MA, Chang YP, Weder A, Chakravarti A. Linkage disequilibrium and haplotype diversity in the genes of the renin-angiotensin system: findings from the family blood pressure program. Genome Res. 2003 Feb;13(2):173-81. — View Citation

Zhu X, Zhang S, Zhao H, Cooper RS. Association mapping, using a mixture model for complex traits. Genet Epidemiol. 2002 Aug;23(2):181-96. — View Citation