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MGAS: a powerful tool for multivariate gene-based genome-wide association analysis
Motivation: Standard genome-wide association studies, testing the association between one phenotype and a large number of single nucleotide polymorphisms (SNPs), are limited in two ways: (i) traits are often multivariate, and analysis of composite scores entails loss in statistical power and (ii) ge...
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| Publicat a: | Bioinformatics |
|---|---|
| Autors principals: | , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Oxford University Press
2015
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4382905/ https://ncbi.nlm.nih.gov/pubmed/25431328 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btu783 |
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