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Univariate/Multivariate Genome-Wide Association Scans Using Data from Families and Unrelated Samples
As genome-wide association studies (GWAS) are becoming more popular, two approaches, among others, could be considered in order to improve statistical power for identifying genes contributing subtle to moderate effects to human diseases. The first approach is to increase sample size, which could be...
| Autores principales: | , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2715864/ https://www.ncbi.nlm.nih.gov/pubmed/19652719 http://dx.doi.org/10.1371/journal.pone.0006502 |