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Using Functional Annotation for the Empirical Determination of Bayes Factors for Genome-Wide Association Study Analysis
A genome wide association study (GWAS) typically results in a few highly significant ‘hits’ and a much larger set of suggestive signals (‘near-hits’). The latter group are expected to be a mixture of true and false associations. One promising strategy to help separate these is to use functional anno...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2011
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3083387/ https://ncbi.nlm.nih.gov/pubmed/21556132 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0014808 |
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