A QTL Genome Scan of the Metabolic Syndrome and its Component Traits
MetadataShow full item record
CitationMcQueen, Matthew B., Lars Bertram, Eric B. Rimm, Deborah Blacker, and Susan L. Santangelo. 2003. A QTL genome scan of the metabolic syndrome and its component traits. BMC Genetics 4: S96.
AbstractBackground: Because high blood pressure, altered lipid levels, obesity, and diabetes so frequently occur together, they are sometimes collectively referred to as the metabolic syndrome. While there have been many studies of each metabolic syndrome trait separately, few studies have attempted to analyze them combined, i.e., as one composite variable, in quantitative trait linkage or association analysis. We used genotype and phenotype data from the Framingham Heart Study to perform a full-genome scan for quantitative trait loci underlying the metabolic syndrome. Results: Heritability estimates for all of the covariate-adjusted and age- and gender-standardized individual traits, and the composite metabolic syndrome trait, were all fairly high (0.39–0.62), and the composite trait was among the highest at 0.61. The composite trait yielded no regions with suggestive linkage by Lander and Kruglyak's criteria, although there were several noteworthy regions for individual traits, some of which were also observed for the composite variable. Conclusion: Despite its high heritability, the composite metabolic syndrome trait variable did not increase the power to detect or localize linkage peaks in this sample. However, this strategy and related methods of combining correlated individual traits deserve further investigation, particularly in settings with complex causal pathways.
Citable link to this pagehttp://nrs.harvard.edu/urn-3:HUL.InstRepos:4882988