Title

An efficient genome-wide association test for mixed binary and continuous phenotypes with applications to substance abuse research.

Document Type

Article

Publication Date

3-1-2018

Publication Title

Statistical Methods in Medical Research

Abstract

We propose a new genome-wide association test for mixed binary and continuous phenotypes that uses an efficient numerical method to estimate the empirical distribution of the Fisher's combination statistic under the null hypothesis. Our simulation study shows that the proposed method controls the type I error rate and also maintains its power at the level of the permutation method. More importantly, the computational efficiency of the proposed method is much higher than the one of the permutation method. The simulation results also indicate that the power of the test increases when the genetic effect increases, the minor allele frequency increases, and the correlation between responses decreases. The statistical analysis on the database of the Study of Addiction: Genetics and Environment demonstrates that the proposed method combining multiple phenotypes can increase the power of identifying markers that may not be, otherwise, chosen using marginal tests.

PubMed ID

27215414

Volume

27

Issue

3

First Page

905

Last Page

919

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