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Correlation between quantitative traits and correlation between corresponding LOD scores: detection of pleiotropic effects

BACKGROUND: We address the question of whether statistical correlations among quantitative traits lead to correlation of linkage results of these traits. Five measured quantitative traits (total cholesterol, fasting glucose, HDL cholesterol, blood pressure, and triglycerides), and one derived quanti...

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Detalles Bibliográficos
Autores principales: Ulgen, Ayse, Han, Zhihua, Li, Wentian
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2003
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866498/
https://www.ncbi.nlm.nih.gov/pubmed/14975128
http://dx.doi.org/10.1186/1471-2156-4-S1-S60
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author Ulgen, Ayse
Han, Zhihua
Li, Wentian
author_facet Ulgen, Ayse
Han, Zhihua
Li, Wentian
author_sort Ulgen, Ayse
collection PubMed
description BACKGROUND: We address the question of whether statistical correlations among quantitative traits lead to correlation of linkage results of these traits. Five measured quantitative traits (total cholesterol, fasting glucose, HDL cholesterol, blood pressure, and triglycerides), and one derived quantitative trait (total cholesterol divided by the HDL cholesterol) are used for phenotype correlation studies. Four of them are used for linkage analysis. RESULTS: We show that although correlation among phenotypes partially reflects the correlation among linkage analysis results, the LOD-score correlations are on average low. The most significant peaks found by using different traits do not often overlap. CONCLUSION: Studying covariances at specific locations in LOD scores may provide clues for further bivariate linkage analyses.
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spelling pubmed-18664982007-05-11 Correlation between quantitative traits and correlation between corresponding LOD scores: detection of pleiotropic effects Ulgen, Ayse Han, Zhihua Li, Wentian BMC Genet Proceedings BACKGROUND: We address the question of whether statistical correlations among quantitative traits lead to correlation of linkage results of these traits. Five measured quantitative traits (total cholesterol, fasting glucose, HDL cholesterol, blood pressure, and triglycerides), and one derived quantitative trait (total cholesterol divided by the HDL cholesterol) are used for phenotype correlation studies. Four of them are used for linkage analysis. RESULTS: We show that although correlation among phenotypes partially reflects the correlation among linkage analysis results, the LOD-score correlations are on average low. The most significant peaks found by using different traits do not often overlap. CONCLUSION: Studying covariances at specific locations in LOD scores may provide clues for further bivariate linkage analyses. BioMed Central 2003-12-31 /pmc/articles/PMC1866498/ /pubmed/14975128 http://dx.doi.org/10.1186/1471-2156-4-S1-S60 Text en Copyright © 2003 Ulgen 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
Ulgen, Ayse
Han, Zhihua
Li, Wentian
Correlation between quantitative traits and correlation between corresponding LOD scores: detection of pleiotropic effects
title Correlation between quantitative traits and correlation between corresponding LOD scores: detection of pleiotropic effects
title_full Correlation between quantitative traits and correlation between corresponding LOD scores: detection of pleiotropic effects
title_fullStr Correlation between quantitative traits and correlation between corresponding LOD scores: detection of pleiotropic effects
title_full_unstemmed Correlation between quantitative traits and correlation between corresponding LOD scores: detection of pleiotropic effects
title_short Correlation between quantitative traits and correlation between corresponding LOD scores: detection of pleiotropic effects
title_sort correlation between quantitative traits and correlation between corresponding lod scores: detection of pleiotropic effects
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866498/
https://www.ncbi.nlm.nih.gov/pubmed/14975128
http://dx.doi.org/10.1186/1471-2156-4-S1-S60
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