Discovering the genes mediating the interactions between chronic respiratory diseases in the human interactome
Complex diseases often share genetic determinants and symptoms, but the mechanistic basis of disease interactions remains elusive. Here, the authors propose a network topological measure to identify proteins linking complex diseases in the interactome, and identify mediators between COPD and asthma.
Main Authors: | Enrico Maiorino, Seung Han Baek, Feng Guo, Xiaobo Zhou, Parul H. Kothari, Edwin K. Silverman, Albert-László Barabási, Scott T. Weiss, Benjamin A. Raby, Amitabh Sharma |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2020-02-01
|
Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-020-14600-w |
Similar Items
-
Author Correction: Discovering the genes mediating the interactions between chronic respiratory diseases in the human interactome
by: Enrico Maiorino, et al.
Published: (2021-04-01) -
A DIseAse MOdule Detection (DIAMOnD) algorithm derived from a systematic analysis of connectivity patterns of disease proteins in the human interactome.
by: Susan Dina Ghiassian, et al.
Published: (2015-04-01) -
Network Diffusion Approach to Predict LncRNA Disease Associations Using Multi-Type Biological Networks: LION
by: Marissa Sumathipala, et al.
Published: (2019-07-01) -
Using canonical correlation analysis to discover genetic regulatory variants.
by: Melissa G Naylor, et al.
Published: (2010-05-01) -
Network biology discovers pathogen contact points in host protein-protein interactomes
by: Hadia Ahmed, et al.
Published: (2018-06-01)