An Empirical Bayes Mixture Model for Effect Size Distributions in Genome-Wide Association Studies

Characterizing the distribution of effects from genome-wide genotyping data is crucial for understanding important aspects of the genetic architecture of complex traits, such as number or proportion of non-null loci, average proportion of phenotypic variance explained per non-null effect, power for...

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Detalles Bibliográficos
Autores principales: Thompson, Wesley K., Wang, Yunpeng, Schork, Andrew J., Witoelar, Aree, Zuber, Verena, Xu, Shujing, Werge, Thomas, Holland, Dominic, Andreassen, Ole A., Dale, Anders M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5456456/
https://www.ncbi.nlm.nih.gov/pubmed/26714184
http://dx.doi.org/10.1371/journal.pgen.1005717

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5456456/
https://www.ncbi.nlm.nih.gov/pubmed/26714184
http://dx.doi.org/10.1371/journal.pgen.1005717

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