Stratification of candidate genes for Parkinson’s disease using weighted protein-protein interaction network analysis

Stratification of candidate genes for Parkinson’s disease using weighted protein-protein interaction network analysis

Abstract Background Genome wide association studies (GWAS) have helped identify large numbers of genetic loci that significantly associate with increased risk of developing diseases. However, translating genetic knowledge into understanding of the molecular mechanisms underpinning disease (i.e. dise...

Full description

Bibliographic Details
Main Authors: Raffaele Ferrari, Demis A. Kia, James E. Tomkins, John Hardy, Nicholas W. Wood, Ruth C. Lovering, Patrick A. Lewis, Claudia Manzoni
Format: Article
Language:English
Published: BMC 2018-06-01
Series:BMC Genomics
Subjects:
Bioinformatics
Networks
Functional genomics
Protein-protein interactions
Pathways
Neurodegeneration
Online Access:http://link.springer.com/article/10.1186/s12864-018-4804-9

Internet

http://link.springer.com/article/10.1186/s12864-018-4804-9

Similar Items