An enhanced version of Cochran-Armitage trend test for genome-wide association studies

Authors: Ghodsi, M., Amiri, S., Hassani, H. and Ghodsi, Z.

Journal: Meta Gene

Volume: 9

Pages: 225-229

eISSN: 2214-5400

DOI: 10.1016/j.mgene.2016.07.001

Abstract:

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.

Source: Scopus

An enhanced version of Cochran-Armitage trend test for genome-wide association studies.

Authors: Ghodsi, M., Amiri, S., Hassani, H. and Ghodsi, Z.

Journal: Meta Gene

Volume: 9

Pages: 225-229

ISSN: 2214-5400

DOI: 10.1016/j.mgene.2016.07.001

Abstract:

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.

Source: PubMed

An enhanced version of Cochran-Armitage trend test for genome-wide association studies

Authors: Ghodsi, M., Amiri, S., Hassani, H. and Ghodsi, Z.

Journal: META GENE

Volume: 9

Pages: 225-229

ISSN: 2214-5400

DOI: 10.1016/j.mgene.2016.07.001

Source: Web of Science (Lite)

An enhanced version of Cochran-Armitage trend test for genome-wide association studies

Authors: Ghodsi, M., Amiri, S., Hassani, H. and Ghodsi, Z.

Journal: META GENE

Volume: 9

Pages: 225-229

ISSN: 2214-5400

DOI: 10.1016/j.mgene.2016.07.001

Source: Manual

An enhanced version of Cochran-Armitage trend test for genome-wide association studies.

Authors: Ghodsi, M., Amiri, S., Hassani, H. and Ghodsi, Z.

Journal: Meta gene

Volume: 9

Pages: 225-229

eISSN: 2214-5400

ISSN: 2214-5400

DOI: 10.1016/j.mgene.2016.07.001

Abstract:

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.

Source: Europe PubMed Central