KBAT
(Kernel-Based
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.
Contact:
Please kindly acknowledge if you have downloaded KBAT. We will inform
you the update of KBAT. Any questions, comments and suggestions on KBAT are welcome. Please send your feedback to hsinchou@stat.sinica.edu.tw.
Reference: (Please cite the following paper if you have used KBAT in your
study.)
Hsin-Chou Yang, Hsin-Yi Hsieh & Cathy SJ Fann. (2008)
Kernel-based association test. Genetics
179, 1057-1068.
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