Abstract:
Insulin is one of the most important hormones which coordinate the action of cells throughout the body for managing uptake, use and storage of blood sugar correctly. To d...Show MoreMetadata
Abstract:
Insulin is one of the most important hormones which coordinate the action of cells throughout the body for managing uptake, use and storage of blood sugar correctly. To date, about 329 single nucleotide polymorphisms (SNP) in the INS gene for insulin have been confirmed. Nonetheless, little is known about the relationship between phenotype and SNP genotype in the INS gene. Here, we analysed the INS nsSNPs using different computational methods and identified 16 nsSNPs to be potentially pathogenic. Furthermore, we used the ConSurf server to estimate the evolutionary conservation and distribution of amino acid positions in the insulin protein. The predicted pathogenic mutations acquired through this present study is expected to provide a guide for prioritizing the important nsSNPs to be selected for further wet lab evaluations and huge population based genotyping studies.
Published in: 2018 5th International Conference on Information Science and Control Engineering (ICISCE)
Date of Conference: 20-22 July 2018
Date Added to IEEE Xplore: 17 January 2019
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