Title: Identification of drug efficacy change using reconstructed network altered by SNPs on pathway gene

Authors: Sukyung Seo; Taekeon Lee; Giup Jang; Soyoun Hwang; Youngmi Yoon

Addresses: Department of Computer Engineering, Gachon University, Gyeonggi-do, South Korea ' Department of Computer Engineering, Gachon University, Gyeonggi-do, South Korea ' Department of IT Convergence Engineering, Gachon University, Gyeonggi-do, South Korea ' Department of IT Convergence Engineering, Gachon University, Gyeonggi-do, South Korea ' Department of Computer Engineering, Gachon University, Gyeonggi-do, South Korea

Abstract: Precision medicine is a medical approach tailored to individual patients. Recently, precision medicine has become more accessible, as the cost of analysing a human genome is now below 1000 USD. Since genetic variations like SNPs affect proteins like receptors, transporters, and enzymes, they cause variability of drug response between people. This can be a serious risk to both patients and clinicians. However, there are no network-based studies confirming the efficacy of drugs that have taken account of those genetic variations. This study presents a method to identify the change of drug efficacy for each pathway gene, which affects the mode of action of drugs. Adopting public genetic information, we construct two types of drug action-sub network with SNPs and without SNPs, and calculate the differences in drug efficacy. We expect that our model can be utilised for precision medicine by predicting the change in drug efficacy.

Keywords: drug efficacy; SNP; network reconstruction; genetic variants; precision medicine; transcription factor.

DOI: 10.1504/IJDMB.2018.096404

International Journal of Data Mining and Bioinformatics, 2018 Vol.21 No.2, pp.107 - 122

Received: 18 May 2018
Accepted: 26 Sep 2018

Published online: 27 Nov 2018 *

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