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Iterative Usage of Fixed and Random Effect Models for Powerful and Efficient Genome-Wide Association Studies
False positives in a Genome-Wide Association Study (GWAS) can be effectively controlled by a fixed effect and random effect Mixed Linear Model (MLM) that incorporates population structure and kinship among individuals to adjust association tests on markers; however, the adjustment also compromises t...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4734661/ https://www.ncbi.nlm.nih.gov/pubmed/26828793 http://dx.doi.org/10.1371/journal.pgen.1005767 |