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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...
Autores principales: | Sikorska, Karolina, Lesaffre, Emmanuel, Groenen, Patrick J. F., Rivadeneira, Fernando, Eilers, Paul H. C. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
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 |
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