Association Test) is a convenient analysis tool for
genome-wide and candidate-region association mapping. Both
numerical results and graphic results are provided by KBAT to identify disease
susceptibility genes/regions. KBAT software was written in language R.
A user-friendly interface was designed with R-GUI to facilitate the
use of the software. Association tests in KBAT were developed based
on the concept of p-value combination and moving average. Intermarker
linkage disequilibrium and/or intermarker distance were incorporated
into test statistics to enchance test power and control false positive.
Single-locus and multilocus association tests were implemented, and
empirical p-values were calculated by using a Monte
Carlo procedure allowing for p-value dependence.
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Reference: (Please cite the following paper if you have used KBAT in your
Hsin-Chou Yang, Hsin-Yi Hsieh & Cathy SJ Fann. (2008)
Kernel-based association test. Genetics