WEN-CHUNG LEE2020-11-192020-11-1920162045-2322https://www.scopus.com/inward/record.uri?eid=2-s2.0-84973915580&doi=10.1038%2fsrep27821&partnerID=40&md5=63b77e3b31b084aec18d564b7fd95ff6https://scholars.lib.ntu.edu.tw/handle/123456789/521836The 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.English[SDGs]SDG3[SDGs]SDG17animal; biological model; gene dosage; genetic disorder; genetics; human; Animals; Gene Dosage; Genetic Diseases, Inborn; Humans; Models, Geneticjournal article10.1038/srep27821272787562-s2.0-84973915580