In Silico Analysis of Non Synonymous Single Nucleotide Polymorphisms (nsSNPs) of SMPX Gene in Hearing Impairment

2018 ◽  
Author(s):  
Md. Arifuzzaman ◽  
Sarmistha Mitra ◽  
Amir Hamza ◽  
Raju Das ◽  
Nurul Absar ◽  
...  
Keyword(s):  
Single Nucleotide Polymorphisms ◽  
Protein Stability ◽  
In Silico Analysis ◽  
Normal Activity ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Binding Motifs ◽  
Stability Change ◽  
And Function ◽  
Dbsnp Database

ABSTRACTBackgroundMutations in SMPX gene can disrupt the normal activity of the SMPX protein which is involved in hearing process.ObjectiveIn this study, deleterious non-synonymous single nucleotide polymorphisms were isolated from the neutral variants by using several bioinformatics tools.MethodFirstly, dbSNP database hosted by NCBI was used to retrieve the SNPs of SMPX gene, secondly, SIFT was used primarily to screen the damaging SNPs. Further, for validation PROVEAN, PredictSNP and PolyPhen 2 were used. I-Mutant 3 was utilized to analyze the protein stability change and MutPred predicted the molecular mechanism of protein stability change. Finally evolutionary conservation was done to study their conservancy by using ConSurf server.ResultsA total of 26 missense (0.6517%) and 3 nonsense variants (0.075%) were retrieved and among them 4 mutations were found deleterious by all the tools of this experiment and are also highly conserved according to ConSurf server. rs772775896, rs759552778, rs200892029 and rs1016314772 are the reference IDs of deleterious mutations where the substitutions are S71L, N19D, A29T and K54N. Loss of Ubiquitination, loss of methylation, loss of glycosylation, and loss of MoRF binding motifs are the root causes of protein stability change.ConclusionThis is the first study regarding nsSNPs of SMPX gene where the most damaging SNPs were screened that are associated with the SMPX gene and can be used for further research to study their effect on protein structure and function, their dynamic behavior and how they actually affect protein’s flexibility.

Single nucleotide polymorphisms (SNPs) in human lactoferrin geneThis paper is one of a selection of papers published in this Special Issue, entitled 7th International Conference on Lactoferrin: Structure, Function and Applications, and has undergone the Journal's usual peer review process.

2006 ◽  
Vol 84 (3) ◽  
pp. 381-384 ◽  
Author(s):  
Christina T. Teng ◽  
Wesley Gladwell
Keyword(s):  
Single Nucleotide Polymorphisms ◽  
Inflammatory Responses ◽  
Peer Review Process ◽  
Genome Project ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Environmental Health Sciences ◽  
Normal Healthy Individual ◽  
Lactoferrin Gene ◽  
And Function

The lactoferrin protein possesses antimicrobial and antiviral activities. It is also involved in the modulation of the immune response. In a normal healthy individual, lactoferrin plays a role in the front-line host defense against infection and in immune and inflammatory responses. Whether genomic variations, such as single nucleotide polymorphisms (SNPs), have an effect on the structure and function of lactoferrin protein and whether these variations contribute to the different susceptibility of individuals in response to environmental insults are interesting health-related issues. In this study, the lactoferrin gene was resequenced as part of the Environmental Genome Project of the National Institute of Environmental Health Sciences, which operates within the National Institutes of Health. Ninety-one healthy donors of different ethnicities were used to establish common SNPs in the exons of the lactoferrin gene in the general population. The data will serve as a basis from which study the association of lactoferrin polymorphism and disease.

Association of MALAT-1 gene single nucleotide polymorphisms with genetic susceptibility to systemic lupus erythematosus

Lupus ◽  
2021 ◽  
pp. 096120332110403
Author(s):  
Yan-Mei Mao ◽  
Yi-Sheng He ◽  
Guo-Cui Wu ◽  
Yu-Qian Hu ◽  
Kun Xiang ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Single Nucleotide Polymorphisms ◽  
Lupus Erythematosus ◽  
Clinical Characteristics ◽  
Clinical Manifestations ◽  
Additive Models ◽  
Nucleotide Polymorphisms ◽  
Systemic Lupus ◽  
Single Nucleotide ◽  
And Function

Background: Abnormal expression and function of long non-coding RNAs (lncRNAs) are closely related to the pathogenesis of systemic lupus erythematosus (SLE). In this study, we aimed to investigate the association of lncRNA metastasis-associated lung adenocarcinoma transcript 1 (MALAT-1) gene single-nucleotide polymorphisms (SNPs) with susceptibility and clinical characteristics of SLE patients. Methods: A case-control study including 489 SLE patients and 492 healthy controls was conducted. Four MALAT-1 SNPs (rs4102217, rs591291, rs11227209, and rs619586) were genotyped in all subjects, their correlation with SLE susceptibility and clinical characteristics were also analyzed. Results: Results showed that the rs4102217 locus was associated with the risk of SLE. In recessive models, the GG+CG genotype of rs4102217 was associated with the decreased risk of SLE compared to CC ( p = 0.036, OR = 0.348, 95% CI: 0.124–0.975). In additive models, the GG genotype of rs4102217 was associated with the decreased risk of SLE compared to CC ( p = 0.040, OR = 0.355, 95% CI: 0.127–0.996). However, no association was found between MALAT-1 gene polymorphism and clinical manifestations of SLE (all p > 0.05). Conclusion: In summary, MALAT-1 rs4102217 is associated with susceptibility to SLE, suggesting that MALAT-1 may play a role in SLE.

scholarly journals A Comprehensive In Silico Analysis of the Functional and Structural Impact of Nonsynonymous SNPs in the ABCA1 Transporter Gene

Cholesterol ◽  
2014 ◽  
Vol 2014 ◽  
pp. 1-19 ◽  
Author(s):  
Francisco R. Marín-Martín ◽  
Cristina Soler-Rivas ◽  
Roberto Martín-Hernández ◽  
Arantxa Rodriguez-Casado
Keyword(s):  
In Silico ◽  
Rare Variants ◽  
Experimental Studies ◽  
In Silico Analysis ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Experimental Approaches ◽  
And Function

Disease phenotypes and defects in function can be traced to nonsynonymous single nucleotide polymorphisms (nsSNPs), which are important indicators of action sites and effective potential therapeutic approaches. Identification of deleterious nsSNPs is crucial to characterize the genetic basis of diseases, assess individual susceptibility to disease, determinate molecular and therapeutic targets, and predict clinical phenotypes. In this study using PolyPhen2 and MutPred in silico algorithms, we analyzed the genetic variations that can alter the expression and function of the ABCA1 gene that causes the allelic disorders familial hypoalphalipoproteinemia and Tangier disease. Predictions were validated with published results from in vitro, in vivo, and human studies. Out of a total of 233 nsSNPs, 80 (34.33%) were found deleterious by both methods. Among these 80 deleterious nsSNPs found, 29 (12.44%) rare variants resulted highly deleterious with a probability >0.8. We have observed that mostly variants with verified functional effect in experimental studies are correctly predicted as damage variants by MutPred and PolyPhen2 tools. Still, the controversial results of experimental approaches correspond to nsSNPs predicted as neutral by both methods, or contradictory predictions are obtained for them. A total of seventeen nsSNPs were predicted as deleterious by PolyPhen2, which resulted neutral by MutPred. Otherwise, forty two nsSNPs were predicted as deleterious by MutPred, which resulted neutral by PolyPhen2.

scholarly journals A Simulation Analysis and Screening of Deleterious Non-Synonymous Single Nucleotide Polymorphisms (SNPs) in Human CDKN1A Gene

2017 ◽  
Author(s):  
G. M. Shazzad Hossain Prince ◽  
Trayee Dhar
Keyword(s):  
Single Nucleotide Polymorphisms ◽  
Simulation Analysis ◽  
In Silico Analysis ◽  
Normal Function ◽  
Nuclear Antigen ◽  
Nucleotide Polymorphisms ◽  
Coding Region ◽  
Single Nucleotide ◽  
Cell Cycle Inhibition ◽  
Proliferating Cell

AbstractCDKN1A also known as p21CIP1 /p21WAF1, a cyclin dependent kinase 1, interacts with proliferating cell nuclear antigen (PCNA) resulting in cell cycle inhibition in human. Non-synonymous single nucleotide polymorphisms (nsSNPs), which reside in the coding region of a gene, might distort the normal function of the corresponding protein. In silico analysis in this study followed many different algorithms. Following the final screening of 118 nsSNPs from dbSNP (NCBI), 12 missense SNPs (R19C (C→T), G23D (A→G), V25G (G→T), V25L (C→G), Q29P (A→C→G), F51L (C→T), E56K (A→G), T57I (C→T), G61R (C→G), G61D (A→G), Y151C (A→G) and R156W (C→G→T) were predicted to have deleterious effect by all the algorithms. Of them, R19C, G23D, F51L, Y151C and R156W occurred at the highly conserved site. G23D, F51L variants also occurred at the CDI domain. Homology structures of the protein predicted decrease of energy in mutant models. GV-GD scores predicted only two variants as neutral (V25L, F51L).

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