Identification and Characterization of SNP Mutation in Genes Related to Non-small Cell Lung Cancer

(E-pub Ahead of Print)

Author(s): Neelambika B Hiremath, Dayananda P*

Journal Name: Current Signal Transduction Therapy

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Background and Objective: The advent of Next Generation Sequencing (NGS) has created a high throughput platform, to identify disease traits and phenotypic characteristics using RNASeq Sequencing analysis in humans. Non-small cell lung cancer (NSCLC), a lethal disease accounts for 85 percent of most lung cancers with very small window ofsurvival rate. The decision of tumour image bio marker impression can be improved by gene profile. Hence there is a need to characterise the variants in the disease manifestation.

Methods: To understand the SNP’s in the major genes responsible for NSCLC, RNASeq data of patients aged above 50 years, were downloaded from SRA database. The quality matrix analysis is mapped to Genome reference consortium human build 38 (GRCh38) to call the variants and identify SNP’s with the tuxedo protocol.

Results: The SNP’s and the patterns of variants were analysed to see the comparison between healthy individual and NSCLC patients, and in between patients of different age. Oncogenes commonly associated with the NSCLC like KRAS, EGFR, ALK, BRAF and HER2 were mainly analysed to see the SNP’s and their characterisations with respect to the functional change was done.

Conclusion: The SNP’s with the greater quality scores belonging to the above said genes were identified which gives us a baseline to understand the NSCLC at the Genomic level. Further fold change of these genes to the frequency of variant can be mapped to understand the NSCLC at a greater depth.

Keywords: Non-small cell lung cancer, KRAS, EGFR, RNASeq, Mutation, Next generation sequencing

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Article Details

Published on: 19 August, 2020
(E-pub Ahead of Print)
DOI: 10.2174/1574362415999200819202218
Price: $95

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