Strategy and model building in the fourth dimension: a null model for genotype × age interaction as a Gaussian stationary stochastic process

BACKGROUND: Using univariate and multivariate variance components linkage analysis methods, we studied possible genotype × age interaction in cardiovascular phenotypes related to the aging process from the Framingham Heart Study. RESULTS: We found evidence for genotype × age interaction for fasting...

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Detalles Bibliográficos
Autores principales: Diego, Vincent P, Almasy, Laura, Dyer, Thomas D, Soler, Júlia MP, Blangero, John
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2003
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866541/
https://www.ncbi.nlm.nih.gov/pubmed/14975102
http://dx.doi.org/10.1186/1471-2156-4-S1-S34
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author Diego, Vincent P
Almasy, Laura
Dyer, Thomas D
Soler, Júlia MP
Blangero, John
author_facet Diego, Vincent P
Almasy, Laura
Dyer, Thomas D
Soler, Júlia MP
Blangero, John
author_sort Diego, Vincent P
collection PubMed
description BACKGROUND: Using univariate and multivariate variance components linkage analysis methods, we studied possible genotype × age interaction in cardiovascular phenotypes related to the aging process from the Framingham Heart Study. RESULTS: We found evidence for genotype × age interaction for fasting glucose and systolic blood pressure. CONCLUSIONS: There is polygenic genotype × age interaction for fasting glucose and systolic blood pressure and quantitative trait locus × age interaction for a linkage signal for systolic blood pressure phenotypes located on chromosome 17 at 67 cM.
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spelling pubmed-18665412007-05-11 Strategy and model building in the fourth dimension: a null model for genotype × age interaction as a Gaussian stationary stochastic process Diego, Vincent P Almasy, Laura Dyer, Thomas D Soler, Júlia MP Blangero, John BMC Genet Proceedings BACKGROUND: Using univariate and multivariate variance components linkage analysis methods, we studied possible genotype × age interaction in cardiovascular phenotypes related to the aging process from the Framingham Heart Study. RESULTS: We found evidence for genotype × age interaction for fasting glucose and systolic blood pressure. CONCLUSIONS: There is polygenic genotype × age interaction for fasting glucose and systolic blood pressure and quantitative trait locus × age interaction for a linkage signal for systolic blood pressure phenotypes located on chromosome 17 at 67 cM. BioMed Central 2003-12-31 /pmc/articles/PMC1866541/ /pubmed/14975102 http://dx.doi.org/10.1186/1471-2156-4-S1-S34 Text en Copyright © 2003 Diego 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
Diego, Vincent P
Almasy, Laura
Dyer, Thomas D
Soler, Júlia MP
Blangero, John
Strategy and model building in the fourth dimension: a null model for genotype × age interaction as a Gaussian stationary stochastic process
title Strategy and model building in the fourth dimension: a null model for genotype × age interaction as a Gaussian stationary stochastic process
title_full Strategy and model building in the fourth dimension: a null model for genotype × age interaction as a Gaussian stationary stochastic process
title_fullStr Strategy and model building in the fourth dimension: a null model for genotype × age interaction as a Gaussian stationary stochastic process
title_full_unstemmed Strategy and model building in the fourth dimension: a null model for genotype × age interaction as a Gaussian stationary stochastic process
title_short Strategy and model building in the fourth dimension: a null model for genotype × age interaction as a Gaussian stationary stochastic process
title_sort strategy and model building in the fourth dimension: a null model for genotype × age interaction as a gaussian stationary stochastic process
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866541/
https://www.ncbi.nlm.nih.gov/pubmed/14975102
http://dx.doi.org/10.1186/1471-2156-4-S1-S34
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