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BMC Proceedings

, 3:S44

First Online: 15 December 2009DOI: 10.1186-1753-6561-3-S7-S44

Cite this article as: Hamid, J.S., Roslin, N.M., Paterson, A.D. et al. BMC Proc 2009 3Suppl 7: S44. doi:10.1186-1753-6561-3-S7-S44

Abstract

We propose the use of latent growth curve model to assess the influence of genetic, environmental, demographic, and lifestyle factors on multiple phenotypes related to coronary heart disease. We model four quantitative traits systolic blood pressure, high-density lipoprotein, low-density lipoprotein, and triglycerides simultaneously in a multivariate framework that allows us to study their change over time, assess individual variation, and investigate cross-phenotype relationships. Environmental, demographic, and lifestyle covariates are included at different levels of the model as time-varying or time-invariant, as appropriate. To investigate the change over time attributed to genetic factors, we use candidate markers that have previously been shown to be associated with the quantitative traits. We illustrate our approach using independent observations from the offspring cohort of the Framingham Heart Study data.

List of abbreviations usedBMIBody mass index

CHDCoronary heart disease

FHSFramingham Heart Study

GAW16Genetic Analysis Workshop 16

HDLHigh-density lipoprotein

LDLLow-density lipoprotein

LGCLatent growth curve

SBPSystolic blood pressure

SNPSingle-nucleotide polymorphism

TGTriglyceride

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Autor: Jemila S Hamid - Nicole M Roslin - Andrew D Paterson - Joseph Beyene

Fuente: https://link.springer.com/







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