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Kbac

KBAC

Record added by Jurg Ott (the original Rockefeller list)

Full Name

Kernal Based Association for Rare Variants

Description

This program implements the KBAC statistic in Liu and Leal (2010). It carries out case-control association testing for rare variants for whole exome association studies. Briefly, consider a gene of length N which harbors M rare variants. Genotype on the M variant sites & the disease status (case/control) are known for each individual. The program takes as input the M-site genotype and disease status (case/control) data files, and computes a p value indicating the significance of association. In order to speed up permutation testing we use an “adaptive” approach to obtain p values.

Year

2010

Author

Gao Wang (email: wang.gaow@columbia.edu)

URL

http://github.com/gaow/kbac

Language

C++,R

OS

Linux, MacOS

Reference

Dajiang J. Liu and Suzanne M. Leal (2010). A Novel Adaptive Method for the Analysis of Next-Generation Sequencing Data to Detect Complex Trait Associations with Rare Variants Due to Gene Main Effects and Interactions. PLoS Genetics

Tag

Association testing, rare variants