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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...
Autores principales: | Hecker, Julian, Prokopenko, Dmitry, Lange, Christoph, Fier, Heide Loehlein |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
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 |
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