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Title: Determining associations between human diseases and non-coding RNAs with critical roles in network control
Authors: Kagami, Haruna
Akutsu, Tatsuya  kyouindb  KAKEN_id  orcid (unconfirmed)
Maegawa, Shingo  kyouindb  KAKEN_id
Hosokawa, Hiroshi
Nacher, Jose C.
Author's alias: 阿久津, 達也
前川, 真吾
細川, 浩
Issue Date: 13-Oct-2015
Publisher: Nature Publishing Group
Journal title: Scientific Reports
Volume: 5
Thesis number: 14577
Abstract: Deciphering the association between life molecules and human diseases is currently an important task in systems biology. Research over the past decade has unveiled that the human genome is almost entirely transcribed, producing a vast number of non-protein-coding RNAs (ncRNAs) with potential regulatory functions. More recent findings suggest that many diseases may not be exclusively linked to mutations in protein-coding genes. The combination of these arguments poses the question of whether ncRNAs that play a critical role in network control are also enriched with disease-associated ncRNAs. To address this question, we mapped the available annotated information of more than 350 human disorders to the largest collection of human ncRNA-protein interactions, which define a bipartite network of almost 93, 000 interactions. Using a novel algorithmic-based controllability framework applied to the constructed bipartite network, we found that ncRNAs engaged in critical network control are also statistically linked to human disorders (P-value of P = 9.8 × 10-109). Taken together, these findings suggest that the addition of those genes that encode optimized subsets of ncRNAs engaged in critical control within the pool of candidate genes could aid disease gene prioritization studies.
Rights: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit
DOI(Published Version): 10.1038/srep14577
PubMed ID: 26459019
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