Optimal Trend Tests for Genetic Association Studies of Heterogeneous Diseases
Journal
Scientific Reports
Journal Volume
6
Date Issued
2016
Author(s)
Abstract
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.
Other Subjects
animal; biological model; gene dosage; genetic disorder; genetics; human; Animals; Gene Dosage; Genetic Diseases, Inborn; Humans; Models, Genetic
Publisher
Nature Publishing Group
Type
journal article
