Literature DB >> 28535199

Genotype-phenotype correlation in patients with isovaleric acidaemia: comparative structural modelling and computational analysis of novel variants.

Osama K Zaki1, George Priya Doss C2, Salsabil A Ali3, Ghadeer G Murad3, Shaima A Elashi3, Maryam S A Ebnou3, Thirumal Kumar D2, Ola Khalifa1, Radwa Gamal1, Heba S A El Abd1, Bilal N Nasr3, Hatem Zayed3.   

Abstract

Isovaleric acidaemia (IVA) is an autosomal recessive inborn error of leucine metabolism. It is caused by a deficiency in the mitochondrial isovaleryl-CoA dehydrogenase (IVD) enzyme. In this study, we investigated eight patients with IVA. The patients' diagnoses were confirmed by urinary organic acid analysis and the blood C5-Carnitine value. A molecular genetic analysis of the IVD gene revealed nine different variants: five were missense variants (c.1193G > A; p. R398Q, c.1207T > A; p. Y403N, c.872C > T; p. A291V, c.749G > C; p. G250A, c.1136T > C; p.I379T), one was a frameshift variant (c.ins386 T; p. Y129fs), one was a splicing variant (c.465 + 2T > C), one was a polymorphism (c.732C > T; p. D244D), and one was an intronic benign variant (c.287 + 14T > C). Interestingly, all variants were in homozygous form, and four variants were novel (p. Y403N, p. Y129fs, p. A291V, p. G250A) and absent from 200 normal chromosomes. We performed protein modelling and dynamics analyses, pathogenicity and stability analyses, and a physiochemical properties analysis of the five missense variants (p.Y403N, R398Q, p.A291V, p.G250A, and p.I379T). Variants p.I379T and p.R398Q were found to be the most deleterious and destabilizing compared to variants p.A291V and p.Y403N. However, the four variants were predicted to be severe by the protein dynamic and in silico analysis, which was consistent with the patients' clinical phenotypes. The p.G250A variant was computationally predicted as mild, which was consistent with the severity of the clinical phenotype. This study reveals a potentially meaningful genotype-phenotype correlation for our patient cohort and highlights the development and use of this computational analysis for future assessments of genetic variants in the clinic.
© The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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Year:  2017        PMID: 28535199     DOI: 10.1093/hmg/ddx195

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  7 in total

1.  Comparative computational assessment of the pathogenicity of mutations in the Aspartoacylase enzyme.

Authors:  C George Priya Doss; Hatem Zayed
Journal:  Metab Brain Dis       Date:  2017-09-06       Impact factor: 3.584

2.  A profound computational study to prioritize the disease-causing mutations in PRPS1 gene.

Authors:  Ashish Kumar Agrahari; P Sneha; C George Priya Doss; R Siva; Hatem Zayed
Journal:  Metab Brain Dis       Date:  2017-10-18       Impact factor: 3.584

3.  Computational modelling approaches as a potential platform to understand the molecular genetics association between Parkinson's and Gaucher diseases.

Authors:  D Thirumal Kumar; Hend Ghasan Eldous; Zainab Alaa Mahgoub; C George Priya Doss; Hatem Zayed
Journal:  Metab Brain Dis       Date:  2018-07-06       Impact factor: 3.584

4.  Impact of missense mutations in survival motor neuron protein (SMN1) leading to Spinal Muscular Atrophy (SMA): A computational approach.

Authors:  P Sneha; Tanzila U Zenith; Ummay Salma Abu Habib; Judith Evangeline; D Thirumal Kumar; C George Priya Doss; R Siva; Hatem Zayed
Journal:  Metab Brain Dis       Date:  2018-07-13       Impact factor: 3.584

5.  Computational approach to unravel the impact of missense mutations of proteins (D2HGDH and IDH2) causing D-2-hydroxyglutaric aciduria 2.

Authors:  D Thirumal Kumar; L Jerushah Emerald; C George Priya Doss; P Sneha; R Siva; W Charles Emmanuel Jebaraj; Hatem Zayed
Journal:  Metab Brain Dis       Date:  2018-07-09       Impact factor: 3.655

6.  Bioinformatics classification of mutations in patients with Mucopolysaccharidosis IIIA.

Authors:  Himani Tanwar; D Thirumal Kumar; C George Priya Doss; Hatem Zayed
Journal:  Metab Brain Dis       Date:  2019-08-05       Impact factor: 3.584

7.  Towards Next-Generation Sequencing (NGS)-Based Newborn Screening: A Technical Study to Prepare for the Challenges Ahead.

Authors:  Abigail Veldman; Mensiena B G Kiewiet; Margaretha Rebecca Heiner-Fokkema; Marcel R Nelen; Richard J Sinke; Birgit Sikkema-Raddatz; Els Voorhoeve; Dineke Westra; Martijn E T Dollé; Peter C J I Schielen; Francjan J van Spronsen
Journal:  Int J Neonatal Screen       Date:  2022-02-24
  7 in total

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