Discovering novel SNPs that are correlated with patient outcome in a Singaporean cancer patient cohort treated with gemcitabine-based chemotherapy

• Main Authors: Limviphuvadh, Vachiranee, Tan, Chee Seng, Konishi, Fumikazu, Jenjaroenpun, Piroon, Xiang, Joy Shengnan, Kremenska, Yuliya, Mu, Yar Soe, Soo, Ross A., Eisenhaber, Frank, Maurer-Stroh, Sebastian, Yong, Wei Peng, Nicholas, Syn, Chin, Lee Soo
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2018
• Subjects: Gemcitabine; NSCLC
• Online Access: https://hdl.handle.net/10356/84498; http://hdl.handle.net/10220/45113
• Institution: Nanyang Technological University

Single Nucleotide Polymorphisms (SNPs) can influence patient outcome such as drug response and toxicity after drug intervention. The purpose of this study is to develop a systematic pathway approach to accurately and efficiently predict novel non-synonymous SNPs (nsSNPs) that could be causative to g...