Abstract: It is important to define the key host genes participate in the interaction and underlying networks for tuberculosis susceptibility. However, only a handful of host genes have been found and confirmed to date. Two sets of omics data about tuberculosis are analyzed in this paper through different statistical methods such as significance test and cluster analysis. 14 hits are found as most probable genes associated with tuberculosis. These hits were all reported to participate in a variety of important biological processes. What's more, five of them were reported to be directly related with tuberculosis. This indicates that the statistical methodology can be helpful to narrow down the shortlist for tuberculosis disease relevant genes.

Key words: omics data, gene, significance test, tuberculosis, clustering