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...
| Main Authors: | , , , , , |
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| Format: | Online |
| Language: | English |
| Published: |
Public Library of Science
2012
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3250410/ |