A method to incorporate prior information into score test for genetic association studies
Sergii Zakharov, Garrett HK Teoh, Agus Salim, Anbupalam Thalamuthu
BMC Bioinformatics | BMC | Published : 2014
BACKGROUND:The interest of the scientific community in investigating the impact of rare variants on complex traits has stimulated the development of novel statistical methodologies for association studies. The fact that many of the recently proposed methods for association studies suffer from low power to identify a genetic association motivates the incorporation of prior knowledge into statistical tests. RESULTS:In this article we propose a methodology to incorporate prior information into the region-based score test. Within our framework prior information is used to partition variants within a region into several groups, following which asymptotically independent group statistics are const..View full abstract
This work was supported by the Agency for Science, Technology and Research (A*STAR, Singapore). The first author is a recipient of the Singapore International Graduate Award.