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A QTL genome scan of the metabolic syndrome and its component traits

BACKGROUND: 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 anal...

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Autores principales: McQueen, Matthew B, Bertram, Lars, Rimm, Eric B, Blacker, Deborah, Santangelo, Susan L
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2003
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866537/
https://www.ncbi.nlm.nih.gov/pubmed/14975164
http://dx.doi.org/10.1186/1471-2156-4-S1-S96
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author McQueen, Matthew B
Bertram, Lars
Rimm, Eric B
Blacker, Deborah
Santangelo, Susan L
author_facet McQueen, Matthew B
Bertram, Lars
Rimm, Eric B
Blacker, Deborah
Santangelo, Susan L
author_sort McQueen, Matthew B
collection PubMed
description BACKGROUND: 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.
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spelling pubmed-18665372007-05-11 A QTL genome scan of the metabolic syndrome and its component traits McQueen, Matthew B Bertram, Lars Rimm, Eric B Blacker, Deborah Santangelo, Susan L BMC Genet Proceedings BACKGROUND: 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. BioMed Central 2003-12-31 /pmc/articles/PMC1866537/ /pubmed/14975164 http://dx.doi.org/10.1186/1471-2156-4-S1-S96 Text en Copyright © 2003 McQueen et al; licensee BioMed Central Ltd http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Proceedings
McQueen, Matthew B
Bertram, Lars
Rimm, Eric B
Blacker, Deborah
Santangelo, Susan L
A QTL genome scan of the metabolic syndrome and its component traits
title A QTL genome scan of the metabolic syndrome and its component traits
title_full A QTL genome scan of the metabolic syndrome and its component traits
title_fullStr A QTL genome scan of the metabolic syndrome and its component traits
title_full_unstemmed A QTL genome scan of the metabolic syndrome and its component traits
title_short A QTL genome scan of the metabolic syndrome and its component traits
title_sort qtl genome scan of the metabolic syndrome and its component traits
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866537/
https://www.ncbi.nlm.nih.gov/pubmed/14975164
http://dx.doi.org/10.1186/1471-2156-4-S1-S96
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