Bayesian Variable Selection in Searching for Additive and Dominant Effects in Genome-Wide Data

Although complex diseases and traits are thought to have multifactorial genetic basis, the common methods in genome-wide association analyses test each variant for association independent of the others. This computational simplification may lead to reduced power to identify variants with small effec...

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Detalles Bibliográficos
Autores principales: Peltola, Tomi, Marttinen, Pekka, Jula, Antti, Salomaa, Veikko, Perola, Markus, Vehtari, Aki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3250410/
https://www.ncbi.nlm.nih.gov/pubmed/22235263
http://dx.doi.org/10.1371/journal.pone.0029115

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3250410/
https://www.ncbi.nlm.nih.gov/pubmed/22235263
http://dx.doi.org/10.1371/journal.pone.0029115

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