PolyGEE: a generalized estimating equation approach to the efficient and robust estimation of polygenic effects in large-scale association studies

To quantify polygenic effects, i.e. undetected genetic effects, in large-scale association studies, we propose a generalized estimating equation (GEE) based estimation framework. We develop a marginal model for single-variant association test statistics of complex diseases that generalizes existing...

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Detalles Bibliográficos
Autores principales: Hecker, Julian, Prokopenko, Dmitry, Lange, Christoph, Fier, Heide Loehlein
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5991211/
https://www.ncbi.nlm.nih.gov/pubmed/28968646
http://dx.doi.org/10.1093/biostatistics/kxx040

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5991211/
https://www.ncbi.nlm.nih.gov/pubmed/28968646
http://dx.doi.org/10.1093/biostatistics/kxx040

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