title: Dynamic pathway analysis of genes associated with blood pressure using whole genome sequence data.
abstract: Groups of genes assigned to a pathway, also called a module, have similar functions. Finding such modules, and the topology of the changes of the modules over time, is a fundamental problem in understanding the mechanisms of complex diseases. Here we investigated an approach that categorized variants into rare or common and used a hierarchical model to jointly estimate the group effects of the variants in a pathway for identifying enriched pathways over time using whole genome sequencing data and blood pressure data. Our results suggest that the method can identify potentially biologically meaningful genes in modules associated with blood pressure over time.
authors.affiliation: The Centre for Applied Genomics, The Hospital for Sick Children, 686 Bay Street, Toronto, ON, M5G 0A4, Canada ; Department of Biochemistry and Medical Genetics and George and Fay Yee Centre for Healthcare Innovation, University of Manitoba,745 Bannatyne Avenue, Winnipeg, MB, R3E 0W3, Canada.
authors.forename: Pingzhao
authors.initials: P
authors.lastname: Hu
authors.affiliation: The Centre for Applied Genomics, The Hospital for Sick Children, 686 Bay Street, Toronto, ON, M5G 0A4, Canada ; Program in Genetics and Genome Biology, The Hospital for Sick Children, 686 Bay Street, Toronto, ON, M5G 0A4, Canada ; Dalla Lana School of Public Health, University of Toronto, Health Sciences Building, 155 College St, Toronto, ON, M5T 3M7, Canada.
authors.forename: Andrew D
authors.initials: AD
authors.lastname: Paterson