Acta Scientific Veterinary Sciences (ISSN: 2582-3183)

Review article Volume 4 Issue 9

Bioresearch Highlights on Single Nucleotide Polymorphisms (SNPs), and their Applications

Bhawanpreet Kaur1 and CS Mukhopadhyay2*

1Ph.D. Scholar, College of Animal Biotechnology, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, Punjab, India
2Senior Scientist, Department of Bioinformatics, College of Animal Biotechnology, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, Punjab, India

*Corresponding Author: CS Mukhopadhyay, Senior Scientist, Department of Bioinformatics, College of Animal Biotechnology, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, Punjab, India.

Received: August 05, 2022; Published: August 29, 2022


Single nucleotide polymorphisms (SNPs) are an important type of genetic variation that occurs due to differences in one nucleotide between individuals. SNPs are distributed throughout the genome and can occur in both coding as well as non-coding regions. Different SNPs databases and tools for predicting protein-altering variants are available with huge information. For detecting the synonymous and nonsynonmous SNPs for genome-wide studies online and offline tools are accessible. In bioinformatics, SNPs are crucial to understanding the molecular mechanisms of sequence evolution, association with human diseases, and variation between individuals in response to drugs and can be used to make personalized medicines. Therefore, in this systematic review, we also discuss the vital role of SNPs in genetic mapping, pharmacogenomics, gene discovery, pharmacogenetics, diseases, evolution, nutrigenetics, nutrigenomics, and strong biological markers.

Keywords: Single Nucleotide Polymorphism; Genome; Markers; Databases; Mutation


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Citation: Bhawanpreet Kaur and CS Mukhopadhyay. “Bioresearch Highlights on Single Nucleotide Polymorphisms (SNPs), and their Applications". Acta Scientific Veterinary Sciences 4.9 (2022): 97-105.


Copyright: © 2022 Bhawanpreet Kaur and CS Mukhopadhyay. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


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