Browse

The translational network for metabolic disease – from protein interaction to disease co-occurrence

Cited 0 time in Web of Science Cited 0 time in Scopus
Authors
Nam, Yonghyun; Lee, Dong-gi; Bang, Sunjoo; Kim, Ju Han; Kim, Jae-Hoon; Shin, Hyunjung
Issue Date
2019-11-13
Citation
BMC Bioinformatics, 20(1):576
Keywords
Semi-supervised learningDisease networkComorbidityProtein interactionDisease scoring
Abstract
Background
The recent advances in human disease network have provided insights into establishing the relationships between the genotypes and phenotypes of diseases. In spite of the great progress, it yet remains as only a map of topologies between diseases, but not being able to be a pragmatic diagnostic/prognostic tool in medicine. It can further evolve from a map to a translational tool if it equips with a function of scoring that measures the likelihoods of the association between diseases. Then, a physician, when practicing on a patient, can suggest several diseases that are highly likely to co-occur with a primary disease according to the scores. In this study, we propose a method of implementing ‘n-of-1 utility’ (n potential diseases of one patient) to human disease network—the translational disease network.

Results
We first construct a disease network by introducing the notion of walk in graph theory to protein-protein interaction network, and then provide a scoring algorithm quantifying the likelihoods of disease co-occurrence given a primary disease. Metabolic diseases, that are highly prevalent but have found only a few associations in previous studies, are chosen as entries of the network.

Conclusions
The proposed method substantially increased connectivity between metabolic diseases and provided scores of co-occurring diseases. The increase in connectivity turned the disease network info-richer. The result lifted the AUC of random guessing up to 0.72 and appeared to be concordant with the existing literatures on disease comorbidity.
ISSN
1471-2105
Language
English
URI
https://doi.org/10.1186/s12859-019-3106-9

http://hdl.handle.net/10371/164730
Files in This Item:
Appears in Collections:
College of Medicine/School of Medicine (의과대학/대학원)Dept. of Medicine (의학과)Journal Papers (저널논문_의학과)
  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse