- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT00059098
Identification of Genes Predisposing to Atherosclerosis
Study Overview
Status
Detailed Description
BACKGROUND:
Coronary heart disease (CHD) is a complex disorder constituting a major health problem in Western societies. The study assesses the unknown genetic background of CHD by investigating the most common familial dyslipidemia predisposing to CHD, familial combined hyperlipidemia (FCHL). The population prevalence of FCHL is estimated to be 1-2 percent and the disorder affects 10-20 percent of families with premature CHD. In FCHL, serum cholesterol, triglycerides, or both are elevated. Both environmental and genetic factors are suggested to affect the complex FCHL phenotype. Since the molecular basis of FCHL is unknown, a significant number of genetically predisposed individuals remain unidentified and exposed to premature CHD. The study uses samples from the genetically isolated population of Finland.
DESIGN NARRATIVE:
The investigators will use the unique study samples from the genetically isolated population of Finland and apply molecular genetic tools to first restrict the genetic locus they have identified and then to characterize the causative gene underlying the FCHL disorder on chromosome 1q21. Specifically, they first aim to further restrict the region by dissecting the different component traits. They will genotype an extended study sample consisting of all available family members of 61 FCHL families with dense sets of microsatellite markers and single nucleotide polymorphisms to fully utilize the refined quantitative phenotype information in fine mapping. Second, they aim to build a transcript map over the critical region on 1q21-q23 and to identify the causative FCHL gene among the regional candidate genes. This region on 1q21-q23 is orthologous to a region on mouse chromosome 3, where a locus (Hyplip 1) for combined hyperlipidemia has been identified. They have analyzed the human homolog of the Hyplip 1 gene but disappointingly, the human Hyplip 1 gene was found 10 Mb from the peak linkage markers and no evidence emerged for Hyplip 1 as a causative gene for FCHL. Their targets to identify the FCHL gene are currently the genes showing strongest association near the linkage peak. The FCHL gene will then be functionally characterized to prove the biological dysfunction. Characterizing one gene for FCHL would improve their understanding of molecular mechanisms of cardiovascular disease, and potentially lead to more accurate diagnosis, treatment and prevention.
Study Type
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Study Plan
How is the study designed?
Collaborators and Investigators
Investigators
- Leena Peltonen, University of California, Los Angeles
Publications and helpful links
General Publications
- Lilja HE, Suviolahti E, Soro-Paavonen A, Hiekkalinna T, Day A, Lange K, Sobel E, Taskinen MR, Peltonen L, Perola M, Pajukanta P. Locus for quantitative HDL-cholesterol on chromosome 10q in Finnish families with dyslipidemia. J Lipid Res. 2004 Oct;45(10):1876-84. doi: 10.1194/jlr.M400141-JLR200. Epub 2004 Jul 16.
- Cantor RM, Chen GK, Pajukanta P, Lange K. Association testing in a linked region using large pedigrees. Am J Hum Genet. 2005 Mar;76(3):538-42. doi: 10.1086/428628. Epub 2005 Jan 18.
Study record dates
Study Major Dates
Study Start
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 1211
- R01HL070150 (U.S. NIH Grant/Contract)
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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