Genome-wide Analysis of Large-scale Longitudinal Outcomes using Penalization —GALLOP algorithm

Genome-wide association studies (GWAS) with longitudinal phenotypes provide opportunities to identify genetic variations associated with changes in human traits over time. Mixed models are used to correct for the correlated nature of longitudinal data. GWA studies are notorious for their computation...

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Detalles Bibliográficos
Autores principales: Sikorska, Karolina, Lesaffre, Emmanuel, Groenen, Patrick J. F., Rivadeneira, Fernando, Eilers, Paul H. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5931565/
https://www.ncbi.nlm.nih.gov/pubmed/29717146
http://dx.doi.org/10.1038/s41598-018-24578-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5931565/
https://www.ncbi.nlm.nih.gov/pubmed/29717146
http://dx.doi.org/10.1038/s41598-018-24578-7

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