Update of the spectrum of mucopolysaccharidoses type III in Tunisia: identification of three novel mutations and in silico structural analysis of the missense mutations

2017 ◽  
Vol 13 (4) ◽  
pp. 374-380 ◽  
Author(s):  
Souad Ouesleti ◽  
Maria Francisca Coutinho ◽  
Isaura Ribeiro ◽  
Abdehedi Miled ◽  
Dalila Saidane Mosbahi ◽  
...  
Keyword(s):  
Structural Analysis ◽  
In Silico ◽  
Missense Mutations ◽  
Novel Mutations ◽  
Type Iii

scholarly journals A Genotype-Phenotype Correlation of Haemophilia a in Victorian Patients with a Description of Novel Mutations

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 2498-2498
Author(s):  
Shreerang Sirdesai ◽  
Kerryn Weekes ◽  
Asif Alam ◽  
Huyen A Tran ◽  
Christopher Barnes ◽  
...  
Keyword(s):  
In Silico ◽  
Family Members ◽  
In Silico Analysis ◽  
Clinical Severity ◽  
Missense Mutations ◽  
Phenotype Correlation ◽  
Novel Mutations ◽  
Mild Phenotype ◽  
Genotype Phenotype Correlation ◽  
Silico Analysis

Abstract Aim: Hemophilia A (HA) is caused by abnormalities in the Factor VIII gene. Certain abnormalities correlate with disease severity. Here, we report the genotype-phenotype correlation for all Victorian HA patients. Methods: Using the Australian Bleeding Disorders Registry, Victorian HA patients were identified. All genetic testing was conducted at Southern Health. The testing algorithm is summarized in Figure 1. Mutations were compared with the list of known Factor 8 mutations on the Champ and EAHAD F8 Variant Databases. A PubMed search was undertaken for any mutations not on either database. If this too was unrevealing, the mutation was designated novel. In-silico analysis was conducted on all novel mutations using three open-access, online prediction tools: a) Mutation Taster; b) Poly-Phen 2; c) Human Splice Site Predictor. Results: 318 patients with matched clinical and genetic records were identified. 275 had known FVIII mutations and 36 novel FVIII mutations were discovered. Eight patients (3%) had no mutations identified. (Table 1) In severe HA the intron-22 inversion was the most common mutation (47/122, 38%). Missense mutations predominated in mild and moderate HA. Inhibitors were present in 44/318 patients, the majority of whom had 26/44 (59%) severe HA. 20/36 novel mutations (55%) were associated with severe HA, 12/36 (33%) with mild HA and 4/36 (11%) with a moderate HA. Novel mutations associated with non-severe phenotypes were mostly missense mutations (15/16); More diversity was seen in the novel mutations causing a severe HA with a fairly even distribution of mutations: missense (7/20), nonsense (4/20) and small deletions and insertions (8/20). One large deletion involving a 6.5kb region of exon 26, as well as one duplication of exons 7 to 9 - was seen in the severe group. In-silico analysis predicted that all novel severe HA mutations were likely to be pathogenic.Inhibitors were seen in 7 patients with novel mutations. Of the 36 novel mutations we described, 9/36 (25%) were seen in other family members - often female carriers. All 9 mutations caused a severe phenotype which is not unexpected given that the screening and testing of family members would be unlikely to take place in patients who have a mild phenotype and rarely require supportive medical care Conclusion: This study adds 36 novel mutations to the currently known FVIII haemophilic mutations. It also confirms that the frequency and correlative clinical severity of known genetic mutations in the Victorian HA cohort is similar to that described internationally. Disclosures No relevant conflicts of interest to declare.

scholarly journals Genetic Epidemiology of Glucose-6-Phosphate Dehydrogenase Deficiency in the Arab World

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
C. George Priya Doss ◽  
Dima R. Alasmar ◽  
Reem I. Bux ◽  
P. Sneha ◽  
Fadheela Dad Bakhsh ◽  
...  
Keyword(s):  
Structural Analysis ◽  
In Silico ◽  
Simulation Analysis ◽  
Arab World ◽  
Arab Countries ◽  
Dynamics Simulation ◽  
Missense Mutations ◽  
Future Prediction ◽  
Glucose 6 Phosphate Dehydrogenase ◽  
Mutant Forms

Abstract A systematic search was implemented using four literature databases (PubMed, Embase, Science Direct and Web of Science) to capture all the causative mutations of Glucose-6-phosphate dehydrogenase (G6PD) deficiency (G6PDD) in the 22 Arab countries. Our search yielded 43 studies that captured 33 mutations (23 missense, one silent, two deletions, and seven intronic mutations), in 3,430 Arab patients with G6PDD. The 23 missense mutations were then subjected to phenotypic classification using in silico prediction tools, which were compared to the WHO pathogenicity scale as a reference. These in silico tools were tested for their predicting efficiency using rigorous statistical analyses. Of the 23 missense mutations, p.S188F, p.I48T, p.N126D, and p.V68M, were identified as the most common mutations among Arab populations, but were not unique to the Arab world, interestingly, our search strategy found four other mutations (p.N135T, p.S179N, p.R246L, and p.Q307P) that are unique to Arabs. These mutations were exposed to structural analysis and molecular dynamics simulation analysis (MDSA), which predicting these mutant forms as potentially affect the enzyme function. The combination of the MDSA, structural analysis, and in silico predictions and statistical tools we used will provide a platform for future prediction accuracy for the pathogenicity of genetic mutations.

scholarly journals In Silico Structural Modeling and Analysis of Interactions of Tremellomycetes Cytochrome P450 Monooxygenases CYP51s with Substrates and Azoles

2021 ◽  
Vol 22 (15) ◽  
pp. 7811
Author(s):  
Olufunmilayo Olukemi Akapo ◽  
Joanna M. Macnar ◽  
Justyna D. Kryś ◽  
Puleng Rosinah Syed ◽  
Khajamohiddin Syed ◽  
...  
Keyword(s):  
Cytochrome P450 ◽  
Structural Analysis ◽  
In Silico ◽  
Web Application ◽  
Cytochrome P450 Monooxygenases ◽  
Agglomerative Clustering ◽  
Ligand Complex ◽  
P450 Monooxygenase ◽  
Study Results

Cytochrome P450 monooxygenase CYP51 (sterol 14α-demethylase) is a well-known target of the azole drug fluconazole for treating cryptococcosis, a life-threatening fungal infection in immune-compromised patients in poor countries. Studies indicate that mutations in CYP51 confer fluconazole resistance on cryptococcal species. Despite the importance of CYP51 in these species, few studies on the structural analysis of CYP51 and its interactions with different azole drugs have been reported. We therefore performed in silico structural analysis of 11 CYP51s from cryptococcal species and other Tremellomycetes. Interactions of 11 CYP51s with nine ligands (three substrates and six azoles) performed by Rosetta docking using 10,000 combinations for each of the CYP51-ligand complex (11 CYP51s × 9 ligands = 99 complexes) and hierarchical agglomerative clustering were used for selecting the complexes. A web application for visualization of CYP51s’ interactions with ligands was developed (http://bioshell.pl/azoledocking/). The study results indicated that Tremellomycetes CYP51s have a high preference for itraconazole, corroborating the in vitro effectiveness of itraconazole compared to fluconazole. Amino acids interacting with different ligands were found to be conserved across CYP51s, indicating that the procedure employed in this study is accurate and can be automated for studying P450-ligand interactions to cater for the growing number of P450s.

Pitt–Hopkins syndrome: phenotypic and genotypic description of four unrelated patients and structural analysis of corresponding missense mutations

Neurogenetics ◽  
2021 ◽  
Author(s):  
Tingting Zhao ◽  
Georgi Z. Genchev ◽  
Shengnan Wu ◽  
Guangjun Yu ◽  
Hui Lu ◽  
...  
Keyword(s):  
Structural Analysis ◽  
Missense Mutations

scholarly journals Using diverse U.S. beef cattle genomes to identify missense mutations in EPAS1, a gene associated with pulmonary hypertension

F1000Research ◽  
2016 ◽  
Vol 5 ◽  
pp. 2003 ◽  
Author(s):  
Michael P. Heaton ◽  
Timothy P.L. Smith ◽  
Jacky K. Carnahan ◽  
Veronica Basnayake ◽  
Jiansheng Qiu ◽  
...  
Keyword(s):  
Pulmonary Hypertension ◽  
Beef Cattle ◽  
In Silico ◽  
Read Depth ◽  
Whole Genome Sequence ◽  
Whole Genome ◽  
Missense Mutations ◽  
Protein Variant ◽  
Flight Mass Spectrometry ◽  
Protein Variants

The availability of whole genome sequence (WGS) data has made it possible to discover protein variantsin silico. However, existing bovine WGS databases do not show data in a form conducive to protein variant analysis, and tend to under represent the breadth of genetic diversity in global beef cattle. Thus, our first aim was to use 96 beef sires, sharing minimal pedigree relationships, to create a searchable and publicly viewable set of mapped genomes relevant for 19 popular breeds of U.S. cattle. Our second aim was to identify protein variants encoded by the bovine endothelial PAS domain-containing protein 1 gene (EPAS1), a gene associated with pulmonary hypertension in Angus cattle. The identity and quality of genomic sequences were verified by comparing WGS genotypes to those derived from other methods. The average read depth, genotype scoring rate, and genotype accuracy exceeded 14, 99%, and 99%, respectively. The 96 genomes were used to discover four amino acid variants encoded byEPAS1(E270Q, P362L, A671G, and L701F) and confirm two variants previously associated with disease (A606T and G610S). The sixEPAS1missense mutations were verified with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry assays, and their frequencies were estimated in a separate collection of 1154 U.S. cattle representing 46 breeds. A rooted phylogenetic tree of eight polypeptide sequences provided a framework for evaluating the likely order of mutations and potential impact ofEPAS1alleles on the adaptive response to chronic hypoxia in U.S. cattle. This public, whole genome resource facilitatesin silicoidentification of protein variants in diverse types of U.S. beef cattle, and provides a means of translating WGS data into a practical biological and evolutionary context for generating and testing hypotheses.

scholarly journals Identification of 31 novel mutations in the F8 gene in Spanish hemophilia A patients: structural analysis of 20 missense mutations suggests new intermolecular binding sites

Blood ◽  
2008 ◽  
Vol 111 (7) ◽  
pp. 3468-3478 ◽  
Author(s):  
Adoración Venceslá ◽  
María Ángeles Corral-Rodríguez ◽  
Manel Baena ◽  
Mónica Cornet ◽  
Montserrat Domènech ◽  
...  
Keyword(s):  
Hemophilia A ◽  
Low Density Lipoprotein ◽  
Scavenger Receptor ◽  
Density Lipoprotein ◽  
Missense Mutations ◽  
Factor X ◽  
Novel Mutations ◽  
Large Deletions ◽  
Function Relationship ◽  
The Impact

Abstract Hemophilia A (HA) is an X-linked bleeding disorder caused by a wide variety of mutations in the factor 8 (F8) gene, leading to absent or deficient factor VIII (FVIII). We analyzed the F8 gene of 267 unrelated Spanish patients with HA. After excluding patients with the common intron-1 and intron-22 inversions and large deletions, we detected 137 individuals with small mutations, 31 of which had not been reported previously. Eleven of these were nonsense, frameshift, and splicing mutations, whereas 20 were missense changes. We assessed the impact of the 20 substitutions based on currently available information about FV and FVIII structure and function relationship, including previously reported results of replacements at these and topologically equivalent positions. Although most changes are likely to cause gross structural perturbations and concomitant cofactor instability, p.Ala375Ser is predicted to affect cofactor activation. Finally, 3 further mutations (p.Pro64Arg, p.Gly494Val, and p.Asp2267Gly) appear to affect cofactor interactions with its carrier protein, von Willebrand factor, with the scavenger receptor low-density lipoprotein receptor–related protein (LRP), and/or with the substrate of the FVIIIapi•FIXa (Xase) complex, factor X. Characterization of these novel mutations is important for adequate genetic counseling in HA families, but also contributes to a better understanding of FVIII structure-function relationship.

In silico profiling and structural insights of missense mutations in RET protein kinase domain by molecular dynamics and docking approach

2014 ◽  
Vol 10 (3) ◽  
pp. 421-436 ◽  
Author(s):  
C. George Priya Doss ◽  
B. Rajith ◽  
Chiranjib Chakraboty ◽  
V. Balaji ◽  
R. Magesh ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Protein Kinase ◽  
In Silico ◽  
Kinase Domain ◽  
Missense Mutations ◽  
Protein Kinase Domain ◽  
Docking Approach ◽  
Structural Insights

scholarly journals Novel deleterious nsSNPs within MEFV gene that could be used as Diagnostic Markers to Predict Hereditary Familial Mediterranean Fever: Using bioinformatics analysis

2018 ◽  
Author(s):  
Mujahed I. Mustafa ◽  
Tebyan A Abdelhameed ◽  
Fatima A. Abdelrhman ◽  
Soada Ahmed Osman ◽  
Mohamed A. Hassan
Keyword(s):  
Familial Mediterranean Fever ◽  
In Silico ◽  
Mediterranean Basin ◽  
Mefv Gene ◽  
Structure And Function ◽  
Diagnostic Markers ◽  
Novel Mutations ◽  
Bioinformatics Tools ◽  
Mediterranean Fever ◽  
And Function

AbstractBackgroundFamilial Mediterranean Fever (FMF) is the most common auto inflammatory disease (AID) affecting mainly the ethnic groups originating from Mediterranean basin, we aimed to identify the pathogenic SNPs in MEFV by computational analysis software.MethodsWe carried out in silico prediction of structural effect of each SNP using different bioinformatics tools to predict substitution influence on protein structure and function.Result23 novel mutations out of 857 nsSNPs that are found to be deleterious effect on the MEFV structure and function.ConclusionThis is the first in silico analysis in MEFV gene to prioritize SNPs for further genetic mapping studies. After using multiple bioinformatics tools to compare and rely on the results predicted, we found 23 novel mutations that may cause FMF disease and it could be used as diagnostic markers for Mediterranean basin populations.

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