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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Autores principales: Tomi Peltola, Pekka Marttinen, Antti Jula, Veikko Salomaa, Markus Perola, Aki Vehtari
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2012
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Acceso en línea:https://doaj.org/article/8b80db146b424272a4dd3ff560ccf6b8
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