Empirical Bayes Estimation of Semi-parametric Hierarchical Mixture Models for Unbiased Characterization of Polygenic Disease Architectures

Genome-wide association studies (GWAS) suggest that the genetic architecture of complex diseases consists of unexpectedly numerous variants with small effect sizes. However, the polygenic architectures of many diseases have not been well characterized due to lack of simple and fast methods for unbia...

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Detalles Bibliográficos
Autores principales: Nishino, Jo, Kochi, Yuta, Shigemizu, Daichi, Kato, Mamoru, Ikari, Katsunori, Ochi, Hidenori, Noma, Hisashi, Matsui, Kota, Morizono, Takashi, Boroevich, Keith A., Tsunoda, Tatsuhiko, Matsui, Shigeyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5928254/
https://www.ncbi.nlm.nih.gov/pubmed/29740473
http://dx.doi.org/10.3389/fgene.2018.00115

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5928254/
https://www.ncbi.nlm.nih.gov/pubmed/29740473
http://dx.doi.org/10.3389/fgene.2018.00115

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