Structural equation model-based genome scan for the metabolic syndrome

BACKGROUND: The metabolic syndrome is characterized by the clustering of several traits, including obesity, hypertension, decreased levels of HDL cholesterol, and increased levels of glucose and triglycerides. Because these traits cluster, there are likely common genetic factors involved. RESULTS: W...

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Autores principales: Stein, Catherine M, Song, Yeunjoo, Elston, Robert C, Jun, Gyungah, Tiwari, Hemant K, Iyengar, Sudha K
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2003
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866540/
https://www.ncbi.nlm.nih.gov/pubmed/14975167
http://dx.doi.org/10.1186/1471-2156-4-S1-S99
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author Stein, Catherine M
Song, Yeunjoo
Elston, Robert C
Jun, Gyungah
Tiwari, Hemant K
Iyengar, Sudha K
author_facet Stein, Catherine M
Song, Yeunjoo
Elston, Robert C
Jun, Gyungah
Tiwari, Hemant K
Iyengar, Sudha K
author_sort Stein, Catherine M
collection PubMed
description BACKGROUND: The metabolic syndrome is characterized by the clustering of several traits, including obesity, hypertension, decreased levels of HDL cholesterol, and increased levels of glucose and triglycerides. Because these traits cluster, there are likely common genetic factors involved. RESULTS: We used a multivariate structural equation model (SEM) approach to scan the genome for loci involved in the metabolic syndrome. We found moderate evidence for linkage on chromosomes 2, 3, 11, 13, and 15, and these loci appear to have different relative effects on the component traits of the metabolic syndrome. CONCLUSION: Our results suggest that the metabolic syndrome components, diabetes, obesity, and hypertension, are under the pleiotropic control of several loci.
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spelling pubmed-18665402007-05-11 Structural equation model-based genome scan for the metabolic syndrome Stein, Catherine M Song, Yeunjoo Elston, Robert C Jun, Gyungah Tiwari, Hemant K Iyengar, Sudha K BMC Genet Proceedings BACKGROUND: The metabolic syndrome is characterized by the clustering of several traits, including obesity, hypertension, decreased levels of HDL cholesterol, and increased levels of glucose and triglycerides. Because these traits cluster, there are likely common genetic factors involved. RESULTS: We used a multivariate structural equation model (SEM) approach to scan the genome for loci involved in the metabolic syndrome. We found moderate evidence for linkage on chromosomes 2, 3, 11, 13, and 15, and these loci appear to have different relative effects on the component traits of the metabolic syndrome. CONCLUSION: Our results suggest that the metabolic syndrome components, diabetes, obesity, and hypertension, are under the pleiotropic control of several loci. BioMed Central 2003-12-31 /pmc/articles/PMC1866540/ /pubmed/14975167 http://dx.doi.org/10.1186/1471-2156-4-S1-S99 Text en Copyright © 2003 Stein 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
Stein, Catherine M
Song, Yeunjoo
Elston, Robert C
Jun, Gyungah
Tiwari, Hemant K
Iyengar, Sudha K
Structural equation model-based genome scan for the metabolic syndrome
title Structural equation model-based genome scan for the metabolic syndrome
title_full Structural equation model-based genome scan for the metabolic syndrome
title_fullStr Structural equation model-based genome scan for the metabolic syndrome
title_full_unstemmed Structural equation model-based genome scan for the metabolic syndrome
title_short Structural equation model-based genome scan for the metabolic syndrome
title_sort structural equation model-based genome scan for the metabolic syndrome
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866540/
https://www.ncbi.nlm.nih.gov/pubmed/14975167
http://dx.doi.org/10.1186/1471-2156-4-S1-S99
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