Paper Info
Title
Weighted Interaction SNP Hub (WISH) network method for building genetic networks for complex diseases and traits using whole genome genotype data.
Abstract
High-throughput genotype (HTG) data has been used primarily in genome-wide association (GWA) studies; however, GWA results explain only a limited part of the complete genetic variation of traits. In systems genetics, network approaches have been shown to be able to identify pathways and their underlying causal genes to unravel the biological and genetic background of complex diseases and traits, e.g., the Weighted Gene Co-expression Network Analysis (WGCNA) method based on microarray gene expression data. The main objective of this study was to develop a scale-free weighted genetic interaction network method using whole genome HTG data in order to detect biologically relevant pathways and potential genetic biomarkers for complex diseases and traits.
Year
DOI
Venue
2014
10.1186/1752-0509-8-S2-S5
BMC systems biology
Keywords
Field
DocType
genetic markers,genotype,bioinformatics,genomics,gene regulatory networks,algorithms,systems biology
Genome,Genotype,Gene,Biology,Genetic variation,Genomics,Interaction network,Bioinformatics,Gene regulatory network,Genetics,Genetic marker
Journal
Volume
Issue
ISSN
8
S-2
1752-0509
Citations 
PageRank 
References 
7
0.51
7
Authors
2
Name
Order
Citations
PageRank
Lisette J. A. Kogelman170.85
Haja N. Kadarmideen2383.15