Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Lin Wang, Wei Zhang, Qizhai Li
Title: AssocTests: An R Package for Genetic Association Studies
Abstract: The R package AssocTests provides some procedures which are commonly used in genetic association studies. These procedures are population stratification correction through eigenvectors, principal coordinates of clusterings, Tracy-Widom test, distance regression, single-marker test, maximum test based on three Cochran-Armitage trend tests, non-parametric trend test, and non-parametric maximum test. The trait values for these methods should be discrete or continuous. The discrete traits can be coded by 1/0 for cases/controls. The genotype values can be 0, 1, or 2 indicating the number of risk alleles for a biallelic single-nucleotide polymorphism. This article introduces the methods and algorithms implemented in the package. Some examples are provided to illustrate the package's capability.

Page views:: 2153. Submitted: 2017-10-26. Published: 2020-06-30.
Paper: AssocTests: An R Package for Genetic Association Studies     Download PDF (Downloads: 587)
Supplements:
AssocTests_1.0-0.tar.gz: R source package Download (Downloads: 31; 783KB)
AssocTests.data_0.0-1.tar.gz: R source package Download (Downloads: 9; 24MB)
v94i05.R: R replication code Download (Downloads: 37; 13KB)

DOI: 10.18637/jss.v094.i05

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.