Strategy and model building in the fourth dimension: a null model for genotype × age interaction as a Gaussian stationary stochastic process
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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Data(s) |
26/08/2013
26/08/2013
01/12/2003
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Resumo |
Abstract 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. We thank Drs. Jean W. MacCluer and Ravindranath Duggirala for critically reviewing the manuscript. This work is supported in part by NIH R01MH59490. We thank Drs. Jean W. MacCluer and Ravindranath Duggirala for critically reviewing the manuscript. This work is supported in part by NIH R01MH59490. |
Identificador |
1471-2156 http://www.producao.usp.br/handle/BDPI/32765 10.1186/1471-2156-4-S1-S34 |
Idioma(s) |
eng |
Relação |
BMC Genetics |
Direitos |
openAccess Diego et al; licensee BioMed Central Ltd - 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. |
Tipo |
article original article |