Cardiovascular DiseasesNCT00037271
Genome Scan for Obesity in a Multi-Ethnic Sample
An observational study of Cardiovascular Diseases and Heart Diseases, run by National Heart, Lung, and Blood Institute (NHLBI).
Trial summary
To scan the genome for obesity in a multi-ethnic sample. Read more about this study
- Who is it for?
- Ages Up to 100 years
- Conditions the study is for
- Cardiovascular Diseases, Heart Diseases, Obesity
- How many people
- Not given
- Where
- No sites listed yet
- Study dates
- Apr 2001to Mar 2003
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Up to 100 years
- All sexes
- No healthy volunteers
- Child, Adult, Older adult
No eligibility criteria
About this study
To scan the genome for obesity in a multi-ethnic sample.
Read the detailed 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.
- Conditions
- Cardiovascular Diseases, Heart Diseases, Obesity
- Medical subject headings
- Cardiovascular Diseases, Heart Diseases, Obesity
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted17 May 2002 (estimated)
- Study startApr 2001
- Study completionMar 2003
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (7)Papers the sponsor has linked to this study.
- Other trials for Cardiovascular DiseasesStudies of the same condition, open and under way.
- More trials run by National Heart, Lung, and Blood Institute (NHLBI)The sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
Sponsor and investigators
- Sponsor type
- US National Institutes of Health
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT00037271
- Sponsor's protocol ID
- 1158
- Other IDs
- R03HL065702
- Status last verified
- Aug 2004
- First submitted
- 16 May 2002
- Last updated
- 18 Feb 2016
- Results posted
- No
Publications
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. doi: 10.2337/diabetes.51.2.541.
PubMed 11812767Zhu X, Zhang S, Zhao H, Cooper RS. Association mapping, using a mixture model for complex traits. Genet Epidemiol. 2002 Aug;23(2):181-96. doi: 10.1002/gepi.210.
PubMed 12214310Wu 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. doi: 10.1086/340362. Epub 2002 Mar 28.
PubMed 11923912Zhu 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. doi: 10.1161/01.HYP.0000068681.69874.CB. Epub 2003 Apr 14.
PubMed 12695419Huang 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. doi: 10.1086/374568. Epub 2003 Mar 17.
PubMed 12644967Zhu 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. doi: 10.1101/gr.302003.
PubMed 12566395Zhu X, Cooper RS. Linkage disequilibrium analysis of the renin-angiotensin system genes. Curr Hypertens Rep. 2003 Feb;5(1):40-6. doi: 10.1007/s11906-003-0009-x.
PubMed 12530934
Study at a glance
From the registry record, last updated by the sponsor on 18 Feb 2016. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Genome Scan for Obesity in a Multi-Ethnic Sample
- ClinicalTrials.gov ID
- NCT00037271
- Acronym / sponsor ID
- 1158
- Conditions
- Cardiovascular Diseases, Heart Diseases, Obesity
- Study type
- Observational
- Recruitment status
- Completed
- Lead sponsor
- National Heart, Lung, and Blood Institute (NHLBI)US National Institutes of Health
- Study start
- Apr 2001
- Study completion
- Mar 2003 (actual)
- First posted
- 17 May 2002 (estimated)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
To scan the genome for obesity in a multi-ethnic sample.
Detailed 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.
Study design
Who may qualify
- Ages
- Up to 100 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child, Adult, Older adult
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Not reported in the source record.
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 18 Feb 2016.
- Background: PubMed 11812767Zhu 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. doi: 10.2337/diabetes.51.2.541.
- Background: PubMed 12214310Zhu X, Zhang S, Zhao H, Cooper RS. Association mapping, using a mixture model for complex traits. Genet Epidemiol. 2002 Aug;23(2):181-96. doi: 10.1002/gepi.210.
- Background: PubMed 11923912Wu 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. doi: 10.1086/340362. Epub 2002 Mar 28.
- Background: PubMed 12695419Zhu 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. doi: 10.1161/01.HYP.0000068681.69874.CB. Epub 2003 Apr 14.
- Background: PubMed 12644967Huang 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. doi: 10.1086/374568. Epub 2003 Mar 17.
- Background: PubMed 12566395Zhu 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. doi: 10.1101/gr.302003.
- Background: PubMed 12530934Zhu X, Cooper RS. Linkage disequilibrium analysis of the renin-angiotensin system genes. Curr Hypertens Rep. 2003 Feb;5(1):40-6. doi: 10.1007/s11906-003-0009-x.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
Questions about this trial
What is this clinical trial studying?
An observational study of Cardiovascular Diseases and Heart Diseases, run by National Heart, Lung, and Blood Institute (NHLBI).
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 18 Feb 2016. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT00037271, which also lists 7 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 18 Feb 2016; AzTrials last refreshed its copy on 2 Nov 2026.