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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2012
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| Materias: | |
| 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 |