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Powerful and Robust Cross-Phenotype Association Test for Case-Parent Trios
There has been increasing interest in identifying genes within the human genome that influence multiple diverse phenotypes. In the presence of pleiotropy, joint testing of these phenotypes is not only biologically meaningful but also statistically more powerful than univariate analysis of each separ...
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| 出版年: | Genet Epidemiol |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6013339/ https://ncbi.nlm.nih.gov/pubmed/29460449 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/gepi.22116 |
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