Longitudinal analysis strategies for modelling epigenetic trajectories

BACKGROUND: DNA methylation levels are known to vary over time, and modelling these trajectories is crucial for our understanding of the biological relevance of these changes over time. However, due to the computational cost of fitting multilevel models across the epigenome, most trajectory modellin...

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Detalles Bibliográficos
Autores principales: Staley, James R, Suderman, Matthew, Simpkin, Andrew J, Gaunt, Tom R, Heron, Jon, Relton, Caroline L, Tilling, Kate
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Genetic Epidemiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5913606/
https://www.ncbi.nlm.nih.gov/pubmed/29462323
http://dx.doi.org/10.1093/ije/dyy012

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5913606/
https://www.ncbi.nlm.nih.gov/pubmed/29462323
http://dx.doi.org/10.1093/ije/dyy012

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