publication . Article . 2009

using a latent growth curve model for an integrative assessment of the effects of genetic and environmental factors on multiple phenotypes

Hamid, Jemila S; Roslin, Nicole M; Paterson, Andrew D; Beyene, Joseph;
Open Access
  • Published: 01 Dec 2009 Journal: BMC Proceedings, volume 3, page S44 (issn: 1753-6561, Copyright policy)
  • Publisher: Springer Nature
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 ...
Subjects
free text keywords: General Biochemistry, Genetics and Molecular Biology, General Medicine, Heart disease, medicine.disease, medicine, Phenotype, Offspring, Demography, Cohort, Covariate, Quantitative trait locus, Multivariate statistics, Biology, Bioinformatics, Framingham Heart Study, Proceedings
Related Organizations
Funded by
NSERC
Project
  • Funder: Natural Sciences and Engineering Research Council of Canada (NSERC)
,
NIH| Genetic Analysis of Common Diseases: An Evaluation
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5R01GM031575-22
  • Funding stream: NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
,
WT
Project
  • Funder: Wellcome Trust (WT)
,
CIHR
Project
  • Funder: Canadian Institutes of Health Research (CIHR)

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