Abstract：Abstract: With the idea of genome-wide association study (GWAS) presented, it has been widely used in rice agronomic traits and human complex disease. GWAS typically focuses on the analysis of single markers, and is unable to cover the relatively small effect sizes of genetic variants. However, the combined effect of rare variants is often closely associated with phenotypes. It requires in-depth data mining from GWAS results. Pathway-based analysis (PBA) method has been developed, which uses prior biological knowledge on gene function and biological metabolic pathways. By using PBA, more information about the pathway and gene sets with same functions which are associated with the diseases or traits from GWAS result could be obtained. In order to offer more reference to pathway-based analysis, the development, methods and related software of the PBA were introduced.
引用本文:
张远森, 司天昭, 杨 恩. 用于GWAS结果后续研究的PBA方法简介[J]. 生命科学研究, 2016, 20(4): 345-352.
ZHANG Yuan-Sen, SI Tian-Zhao, YANG 恩. A Brief Review of the PBA Methods for Follow-up Study of the GWAS Results . Life Science Research, 2016, 20(4): 345-352.
2016, Vol. 20 
