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Covariate Selection for Association Screening in Multi-Phenotype Genetic studies
Testing for associations in big data faces the problem of multiple comparisons, with true signals difficult to detect on the background of all associations queried. This is particularly true in human genetic association studies where phenotypic variation is often driven by numerous variants of small...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5797835/ https://www.ncbi.nlm.nih.gov/pubmed/29038595 http://dx.doi.org/10.1038/ng.3975 |