Novel putative drugs and key initiating genes for neurodegenerative disease determined using network‐based genetic integrative analysis. Issue 4 (9th October 2018)

• Record Type: Journal Article
• Authors: Mortezaei, Zahra; Cazier, Jean‐Baptiste; Mehrabi, Ali Ashraf; Cheng, Chao; Masoudi‐Nejad, Ali
• Is Part Of: Journal of cellular biochemistry. Volume 120:Issue 4(2019)
• Page Start: 5459
• Page End: 5471
• Publication Date: 2018-10-09
• Subjects: control centrality -- drug targets -- genome‐wide association study -- germline mutation -- network hierarchy -- neurodegenerative disease -- somatic mutation; Cytochemistry -- Periodicals; 572
• DOI: 10.1002/jcb.27825
• Languages: English
• ISSNs: 0730-2312

Abstract

Abstract: Understanding the genetic causes of neurodegenerative disease (ND) can be useful for their prevention and treatment. Among the genetic variations responsible for ND, heritable germline variants have been discovered in genome‐wide association studies (GWAS), and nonheritable somatic mutations have been discovered in sequencing projects. Distinguishing the important initiating genes in ND and comparing the importance of heritable and nonheritable genetic variants for treating ND are important challenges. In this study, we analysed GWAS results, somatic mutations and drug targets of ND from large databanks by performing directed network‐based analysis considering a randomised network hypothesis testing procedure. A disease‐associated biological network was created in the context of the functional interactome, and the nonrandom topological characteristics of directed‐edge classes were interpreted. Hierarchical network analysis indicated that drug targets tend to lie upstream of somatic mutations and germline variants. Furthermore, using directed path length information and biological explanations, we provide information on the most important genes in these created node classes and their associated drugs. Finally, we identified nine germline variants overlapping with drug targets for ND, seven somatic mutations close to drug targets from the hierarchical network analysis and six crucial genes in controlling other genes from the network analysis. Based on these findings, some drugs have been proposed for treating ND via drug repurposing. Our results provide new insights into the therapeutic actionability of GWAS results and somatic mutations for ND. The interesting properties of each node class and the existing relationships between them can broaden our knowledge of ND. Abstract : We compared the importance of germline variants and somatic mutations as genetic causes of neurodegenerative disease that can help distinguishing the importance of heritable and nonheritable genetic factors in creating, developing and treatment of those diseases. In this study, we analyzed GWAS results, somatic mutations and drug targets of ND by performing directed network‐based analysis that could provide information on the most important genes in these created node classes and their associated drugs. To our knowledge, incorporating information on edge directionality and applying permutation‐based framework, this is the first study to interpret the relationship between drug targets and germline/somatic mutations in association with neurodegenerative diseases.