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A clustering linear combination approach to jointly analyze multiple phenotypes for GWAS
SUMMARY: There is an increasing interest in joint analysis of multiple phenotypes for genome-wide association studies (GWASs) based on the following reasons. First, cohorts usually collect multiple phenotypes and complex diseases are usually measured by multiple correlated intermediate phenotypes. S...
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| Publicat a: | Bioinformatics |
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| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Oxford University Press
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6477981/ https://ncbi.nlm.nih.gov/pubmed/30239574 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty810 |
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