Title :
Understanding SNP — Gene associations in pancreatic cancer: A systems biology approach
Author :
Joseph, Nimish ; Gopakumar, G. ; Pradhan, Meeta ; Abdul Nazeer, K.A. ; Palakal, Mathew J.
Author_Institution :
Dept. of Comput. Sci. & Eng., Nat. Inst. of Technol., Kozhikode, India
Abstract :
The findings of Human Genome Project revealed Single Nucleotide Polymorphisms (SNPs) as the most common form of genetic variations in humans. It also demonstrated the active role of SNPs in the genesis of many system disorders. Thus it is related to one or more diseases. SNP-Gene interactions across multiple diseases is a novel area of research which can result in understanding its commonality or uniqueness across population or disease clusters. This study with Pancreatic Cancer data gives a better and faster approach to make use of these associations and thereby to help in determining the disease causing SNPs and Genes which are common or unique across the disease cluster.
Keywords :
bioinformatics; biomedical engineering; cancer; genetics; SNP-gene interaction; disease cluster; gene association; pancreatic cancer data; single nucleotide polymorphism; Bioinformatics; Cancer; Diseases; Genomics; Systems biology; SNP; SNP-Gene Interaction; Systems Biology; drug discovery; genes;
Conference_Titel :
Signal Processing, Informatics, Communication and Energy Systems (SPICES), 2015 IEEE International Conference on
Conference_Location :
Kozhikode
DOI :
10.1109/SPICES.2015.7091515