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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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| 出版年: | Bioinformatics |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2019
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| 主題: | |
| オンライン･アクセス: | 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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