scholarly journals In silico analysis of likely pathogenic variants in human GGCX gene

2020 ◽  
Vol 19 ◽  
pp. 100337
Author(s):  
Mozan Osman Hassan ◽  
Doaa A. Gassim ◽  
Afraa M. Albakrye ◽  
Hind A. Elnasri ◽  
Mona A.M. Khaier
2020 ◽  
Vol 2 (2) ◽  
pp. 1-14
Author(s):  
Ammara Akhtar ◽  
Sobia Nazir Choudhry ◽  
Rana Muhammad Mateen ◽  
Mureed Hussain

Hereditary spastic paraplegia (HSP) is a heterogenous neurological disorder primarily associated with progressive spasticity. Paraplegin is a mitochondrial protein and mutations in this protein can lead to HSP. In this study, in silico analysis was carried out to identify the pathogenic variants of SPG7 (paraplegin protein). To find novel pathogenic mutations, missense and splicing variants were collected from gnomAD database and passed through a detailed and stringent analysis with the help of a variety of bioinformatic tools. The list of mutations was examined and compared in ClinVar. Altogether, 14 missense mutations and 18 splicing mutations were obtained and these mutations were predicted to have the potential of disrupting the normal structural and functional properties of paraplegin protein.


2021 ◽  
Author(s):  
Tohid Ghasemnejad ◽  
Mahmoud Shekari Khaniani ◽  
Jafar Nouri Nojadeh ◽  
Sima Mansoori Derakhshan

Abstract Background: Genetic hearing loss (GHL) is a common heterogeneous disorder that can affect all ages, ethnicities, and genders. The most common form of hearing loss (HL) is autosomal recessive non-syndromic hearing loss (ARNSHL) and in most cases specific genotype-phenotype correlation is indistinguishable. This study aimed to identify the genetic cause of hearing loss in an Iranian Azeri Turkish ethnicity family with consanguine marriage which is negative for GJB2, GJB6 and mitochondrially encoded 12S RRNA (MT-RNR1) deleterious mutations.Methods: Targeted genome sequencing was applied for the detection of possible genetic causes of HL in this family. Co-segregation and in silico analysis of variant was performed by standard procedure.Results: A missense variant, c.499G>A, was identified in the ESRRB gene. Healthy and affected members of the family confirmed co-segregation of the variant with ARNSHL in the pedigree and then the pathogenicity of the variant was confirmed by in silico analysis and ACMG Guidelines. Conclusion: We report a novel missense variant in the ESRRB gene which seems to be a pathogenic variant. The result of this study suggests that the genetic background of hearing loss patients plays important role in the pathogenicity; moreover, targeted genomic capture is a powerful method that can discover pathogenic variants in heterogeneous disorders.


2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Elvia C. Mendoza-Caamal ◽  
Francisco Barajas-Olmos ◽  
Elaheh Mirzaeicheshmeh ◽  
Ian Ilizaliturri-Flores ◽  
Carlos A. Aguilar-Salinas ◽  
...  

Abstract Background We investigated pathogenic DYRK1B variants causative of abdominal obesity-metabolic syndrome 3 (AOMS3) in a group of patients originally diagnosed with type 2 diabetes. All DYRK1B exons were analyzed in a sample of 509 unrelated adults with type 2 diabetes and 459 controls, all belonging to the DMS1 SIGMA-cohort (ExAC). We performed in silico analysis on missense variants using Variant Effect Predictor software. To evaluate co-segregation, predicted pathogenic variants were genotyped in other family members. We performed molecular dynamics analysis for the co-segregating variants. Results After filtering, Mendelian genotypes were confirmed in two probands bearing two novel variants, p.Arg252His and p.Lys68Gln. Both variants co-segregated with the AOMS3 phenotype in classic dominant autosomal inheritance with full penetrance. In silico analysis revealed impairment of the DYRK1B protein function by both variants. For the first time, we describe age-dependent variable expressivity of this entity, with central obesity and insulin resistance apparent in childhood; morbid obesity, severe hypertriglyceridemia, and labile type 2 diabetes appearing before 40 years of age; and hypertension emerging in the fifth decade of life. We also report the two youngest individuals suffering from AOMS3. Conclusions Monogenic forms of metabolic diseases could be misdiagnosed and should be suspected in families with several affected members and early-onset metabolic phenotypes that are difficult to control. Early diagnostic strategies and medical interventions, even before symptoms or complications appear, could be useful.


2021 ◽  
Author(s):  
Deeann Wallis ◽  
Andre Leier ◽  
Marc Moore ◽  
Michael Daniel ◽  
Hui Liu ◽  
...  

Abstract We investigated the feasibility of utilizing an exon skipping approach as a genotype-dependent therapeutic for neurofibromatosis type 1 (NF1) by determining which NF1 exons might be skipped while maintaining neurofibromin function. Human neurofibromin is well-known as a GTPase activating protein (GAP), but outside of its GAP-related domain (GRD), it is unclear how critical other regions are for function. Initial in silico analysis predicted exons that can be skipped with minimal loss of neurofibromin function. Utilizing a novel Nf1 cDNA system, we performed a functional screen to determine the effects of exon skipping on in vitro neurofibromin expression and GRD function. Loss of single exons 12, 17, 25, 41, 47, or 52 maintained significant GRD function in at least two Ras activity assays. Exons 18/19, 20 and 28 are critical for GRD function; deletion of exons 20, 41, or 47 led to significantly lower levels of neurofibromin. As suggested by in silico analysis, skipping of exons 17 or 52 resulted in both the highest neurofibromin levels and the greatest suppression of Ras activity. Assessment of NF1 patient databases indicates that pathogenic variants resulting in deletion or skipping of exons 17, 25, and 52 have not been reported; and truncating pathogenic variants in each exon account for ~0.91, 0.94, and 0.25% of unrelated NF1 cases, respectively. Hence, we designed antisense phosphodiamitate morpholino oligos (PMOs) to skip exon 17 and evaluated them in human cell lines that we generated via CRISPR/Cas9 with a patient-specific truncating pathogenic variant, c.1885G>A. We down-selected oligos that efficiently caused skipping of exon 17 and restored NF1 expression and function. Further, homozygous deletion of exon 17 in a novel mouse model is compatible with viable and grossly healthy animals with normal lifespan and no tumor development, providing proof-of-concept that exon 17 is not essential for murine neurofibromin function. Mild phenotypes observed include abnormal nesting behavior and lymphoid hyperplasia with increased numbers of both B- and T-cells. Hence, exon skipping should be further investigated as a therapeutic approach for NF1 patients with treatment of individuals with pathogenic variants in exon 17.


2021 ◽  
pp. bjophthalmol-2020-318563
Author(s):  
Sushmita Kaushik ◽  
Manni Luthra-Guptasarma ◽  
Dimple Prasher ◽  
Deepika Dhingra ◽  
Nirbhai Singh ◽  
...  

ObjectiveTo compare CYP1B1 and MYOC variants in a cohort of neonatal-onset (NO) and infantile-onset (IO) primary congenital glaucoma (PCG).MethodsThis prospective observational study included 43 infants with PCG (14 NO and 29 IO) presenting between January 2017 and January 2019 with a minimum 1-year follow-up. CYP1B1 and MYOC genes were screened using Sanger sequencing with in-silico analysis of the variants using Polymorphism Phenotyping v.2 and Protein Variation Effect Analyser platforms. Allelic frequency was estimated using Genome Aggregation Database (gnomAd). Disease presentation and outcome were correlated to the genetic variants in both groups.ResultsBabies with CYP1B1 mutations had more severe disease at presentation and worse outcomes. Six of 14 (42.8%) NO glaucoma and 5 of 29 (17.2%) IO harboured CYP1B1 mutations. Five of six babies in the NO group and three of five in the IO group harboured the variant c.1169G>A, [p.R390H]. They required more surgeries and had a poorer outcome. On in-silico analysis c.1169G>A, [p.R390H] scored very likely pathogenic. Two patients in the IO group who had the c.1294C>G, [p.L432V] variant had a good outcome. Five of 14 NO-PCG and 8 of 29 IO-PCG harboured the variant c.227G>A, [p.R76K] in the MYOC gene, which was scored benign by in-silico analysis, and was also found in 2 of 15 normal controls.ConclusionsPatients with CYP1B1 pathogenic variants had a poorer outcome than those without. We found more NO PCG babies with CYP1B1 mutations compared with IO PCG. This may be one of the reasons for NO PCG having a poorer prognosis compared with IO PCG.


2020 ◽  
Vol 47 (6) ◽  
pp. 398-408
Author(s):  
Sonam Tulsyan ◽  
Showket Hussain ◽  
Balraj Mittal ◽  
Sundeep Singh Saluja ◽  
Pranay Tanwar ◽  
...  

2020 ◽  
Vol 27 (38) ◽  
pp. 6523-6535 ◽  
Author(s):  
Antreas Afantitis ◽  
Andreas Tsoumanis ◽  
Georgia Melagraki

Drug discovery as well as (nano)material design projects demand the in silico analysis of large datasets of compounds with their corresponding properties/activities, as well as the retrieval and virtual screening of more structures in an effort to identify new potent hits. This is a demanding procedure for which various tools must be combined with different input and output formats. To automate the data analysis required we have developed the necessary tools to facilitate a variety of important tasks to construct workflows that will simplify the handling, processing and modeling of cheminformatics data and will provide time and cost efficient solutions, reproducible and easier to maintain. We therefore develop and present a toolbox of >25 processing modules, Enalos+ nodes, that provide very useful operations within KNIME platform for users interested in the nanoinformatics and cheminformatics analysis of chemical and biological data. With a user-friendly interface, Enalos+ Nodes provide a broad range of important functionalities including data mining and retrieval from large available databases and tools for robust and predictive model development and validation. Enalos+ Nodes are available through KNIME as add-ins and offer valuable tools for extracting useful information and analyzing experimental and virtual screening results in a chem- or nano- informatics framework. On top of that, in an effort to: (i) allow big data analysis through Enalos+ KNIME nodes, (ii) accelerate time demanding computations performed within Enalos+ KNIME nodes and (iii) propose new time and cost efficient nodes integrated within Enalos+ toolbox we have investigated and verified the advantage of GPU calculations within the Enalos+ nodes. Demonstration data sets, tutorial and educational videos allow the user to easily apprehend the functions of the nodes that can be applied for in silico analysis of data.


2013 ◽  
Vol 9 (4) ◽  
pp. 608-616 ◽  
Author(s):  
Zaheer Ul-Haq ◽  
Saman Usmani ◽  
Uzma Mahmood ◽  
Mariya al-Rashida ◽  
Ghulam Abbas

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