Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1782133296149299200 |
---|---|
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. |
format | Text |
id | pubmed-1866537 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2003 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT mcqueenmatthewb aqtlgenomescanofthemetabolicsyndromeanditscomponenttraits AT bertramlars aqtlgenomescanofthemetabolicsyndromeanditscomponenttraits AT rimmericb aqtlgenomescanofthemetabolicsyndromeanditscomponenttraits AT blackerdeborah aqtlgenomescanofthemetabolicsyndromeanditscomponenttraits AT santangelosusanl aqtlgenomescanofthemetabolicsyndromeanditscomponenttraits AT mcqueenmatthewb qtlgenomescanofthemetabolicsyndromeanditscomponenttraits AT bertramlars qtlgenomescanofthemetabolicsyndromeanditscomponenttraits AT rimmericb qtlgenomescanofthemetabolicsyndromeanditscomponenttraits AT blackerdeborah qtlgenomescanofthemetabolicsyndromeanditscomponenttraits AT santangelosusanl qtlgenomescanofthemetabolicsyndromeanditscomponenttraits |