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An Empirical Bayes Mixture Model for Effect Size Distributions in Genome-Wide Association Studies
Characterizing the distribution of effects from genome-wide genotyping data is crucial for understanding important aspects of the genetic architecture of complex traits, such as number or proportion of non-null loci, average proportion of phenotypic variance explained per non-null effect, power for...
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| Опубликовано в: : | PLoS Genet |
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| Главные авторы: | , , , , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Public Library of Science
2015
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5456456/ https://ncbi.nlm.nih.gov/pubmed/26714184 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pgen.1005717 |
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