Programs
- M. Tech. in Automotive Engineering -
- Clinical Fellowship in Laboratory Genetics & Genomics - Fellowship
Publication Type : Journal Article
Publisher : Adv Appl Bioinform Chem. 2017 Jun 12;10:57-64.
Source : Adv Appl Bioinform Chem. 2017 Jun 12;10:57-64.
Url : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5473491/
Keywords : clinical mastitis, single-nucleotide polymorphisms, variants, associations, diseases, linkage disequilibrium, GWAS
Campus : Amritapuri
School : School of Biotechnology
Department : biotechnology
Year : 2017
Abstract : Next-generation sequencing technology has provided resources to easily explore and identify candidate single-nucleotide polymorphisms (SNPs) and variants. However, there remains a challenge in identifying and inferring the causal SNPs from sequence data. A problem with different methods that predict the effect of mutations is that they produce false positives. In this hypothesis, we provide an overview of methods known for identifying causal variants and discuss the challenges, fallacies, and prospects in discerning candidate SNPs. We then propose a three-point classification strategy, which could be an additional annotation method in identifying causalities.
Cite this Research Publication : Suravajhala P, Benso A. Prioritizing single-nucleotide polymorphisms and variants associated with clinical mastitis. Adv Appl Bioinform Chem. 2017 Jun 12;10:57-64