https://scholars.lib.ntu.edu.tw/handle/123456789/521836
標題: | Optimal Trend Tests for Genetic Association Studies of Heterogeneous Diseases | 作者: | WEN-CHUNG LEE | 公開日期: | 2016 | 出版社: | Nature Publishing Group | 卷: | 6 | 來源出版物: | Scientific Reports | 摘要: | The Cochran-Armitage trend test is a standard procedure in genetic association studies. It is a directed test with high power to detect genetic effects that follow the gene-dosage model. In this paper, the author proposes optimal trend tests for genetic association studies of heterogeneous diseases. Monte-Carlo simulations show that the power gain of the optimal trend tests over the conventional Cochran-Armitage trend test is striking when the genetic effects are heterogeneous. The easy-to-use R 3.1.2 software (R Foundation for Statistical Computing, Vienna, Austria) code is provided. The optimal trend tests are recommended for routine use. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84973915580&doi=10.1038%2fsrep27821&partnerID=40&md5=63b77e3b31b084aec18d564b7fd95ff6 https://scholars.lib.ntu.edu.tw/handle/123456789/521836 |
ISSN: | 2045-2322 | DOI: | 10.1038/srep27821 | SDG/關鍵字: | animal; biological model; gene dosage; genetic disorder; genetics; human; Animals; Gene Dosage; Genetic Diseases, Inborn; Humans; Models, Genetic |
顯示於: | 流行病學與預防醫學研究所 |
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