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Effect of non-normality and low count variants on cross-phenotype association tests in GWAS
Many complex human diseases, such as type 2 diabetes, are characterized by multiple underlying traits/phenotypes that have substantially shared genetic architecture. Multivariate analysis of correlated traits has the potential to increase the power of detecting underlying common genetic loci. Severa...
Enregistré dans:
| Publié dans: | Eur J Hum Genet |
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| Auteurs principaux: | , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Springer International Publishing
2019
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7028917/ https://ncbi.nlm.nih.gov/pubmed/31582815 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41431-019-0514-2 |
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