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