publication . Article . 2016

Longitudinal analytical approaches to genetic data

PE Melton; Anne Justice;
Open Access English
  • Published: 03 Feb 2016 Journal: BMC Genetics, volume 17, issue S2 (issn: 1471-2156, Copyright policy)
  • Publisher: Springer Nature
Background Longitudinal phenotypic data provides a rich potential resource for genetic studies which may allow for greater understanding of variants and their covariates over time. Herein, we review 3 longitudinal analytical approaches from the Genetic Analysis Workshop 19 (GAW19). These contributions investigated both genome-wide association (GWA) and whole genome sequence (WGS) data from odd numbered chromosomes on up to 4 time points for blood pressure–related phenotypes. The statistical models used included generalized estimating equations (GEEs), latent class growth modeling (LCGM), linear mixed-effect (LME), and variance components (VC). The goal of these ...
free text keywords: Genetics(clinical), Genetics, Proceedings
Funded by
NIH| Genetic Analysis of Common Diseases: An Evaluation
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5R01GM031575-22
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