Detecting gene subnetworks under selection in biological pathways.

ABSTRACT: Advances in high throughput sequencing technologies have created a gap between data production and functional data analysis. Indeed, phenotypes result from interactions between numerous genes, but traditional methods treat loci independently, missing important knowledge brought by network-level emerging properties. Therefore, detecting selection acting on multiple genes affecting the evolution of complex traits remains challenging. In this context, gene network analysis provides a powerful framework to study the evolution of adaptive traits and facilitates the interpretation of genome-wide data. We developed a method to analyse gene networks that is suitable to evidence polygenic selection. The general idea is to search biological pathways for subnetworks of genes that directly interact wi

SUBMITTER: Gouy A 

PROVIDER: S-EPMC5766194 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature