An enhanced version of Cochran-Armitage trend test for genome-wide association studies.
Genome-wide association studies the evaluation of association between candidate gene and disease status is widely carried out using Cochran-Armitage trend test. However, only a small number of research papers have evaluated the distribution of p-values for the Cochran-Armitage trend test. In this paper, an enhanced version of Cochran-Armitage trend test based on bootstrap approach is introduced. The achieved results confirm that the distribution of p-values of the proposed approach fits better to the uniform distribution, and it is thus concluded that the proposed method, which needs less assumptions in comparison with the conventional method, can be successfully used to test the genetic association.
Translational Genetics Group, Bournemouth University, UK.
Mansi
M
Ghodsi
University of Wisconsin-Green Bay, Department of Natural and Applied Sciences, Green Bay, WI, USA.
Saeid
S
Amiri
Institute for International Energy Studies, Tehran, 1967743 711, Iran.
Hossein
H
Hassani
Translational Genetics Group, Bournemouth University, UK.
Zara
Z
Ghodsi
Bootstrap method; Chi-squared test; Contingency table; Genetic association; Monte Carlo simulation; p-values