Improving GWAS discovery and genomic prediction accuracy in biobank data

Genetically informed, deep-phenotyped biobanks are an important research resource and it is imperative that the most powerful, versatile, and efficient analysis approaches are used. Here, we apply our recently developed Bayesian grouped mixture of regressions model (GMRM) in the UK and Estonian Biob...

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Detalles Bibliográficos
Autores principales: Orliac, Etienne J., Trejo Banos, Daniel, Ojavee, Sven E., Läll, Kristi, Mägi, Reedik, Visscher, Peter M., Robinson, Matthew R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Biological Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9351350/
https://www.ncbi.nlm.nih.gov/pubmed/35905320
http://dx.doi.org/10.1073/pnas.2121279119

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9351350/
https://www.ncbi.nlm.nih.gov/pubmed/35905320
http://dx.doi.org/10.1073/pnas.2121279119

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