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In silico data analyses of the hotspot mutations of CHM gene in choroideremia disease.

ABSTRACT: This data article provides compelling computational analysis of the hotspot CHM gene mutations that contribute to the progressive causativeness and susceptibility of Choroideremia in patients. We performed structural and molecular dynamics (MD) simulation analysis on abnormal states of the CHM protein caused by deleterious and disease-causing hotspot mutant forms of CHM: S89C, E177K, and V529H. Within 40?ns, MD simulation time composed of the E177K mutant shows conformational alteration especially in several parts of the variant. Mathematically, we applied eigenvector analysis to determine the modes of flexibility and atomic positional fluctuations that contribute significantly to the overall motion of the CHM protein in terms of structural alteration, free energy landscapes (FEL), entropy, enthalpy, and principal component analysis (PCA). The data described here are related to the article entitled "Molecular Genetics Characterization and Homology Modeling of the CHM Gene Mutation: A study on Its Association with Choroideremia" (Imani et al., 2018) [1].

SUBMITTER: Imani S

PROVIDER: S-EPMC5997011 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

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In silico data analyses of the hotspot mutations of <i>CHM</i> gene in choroideremia disease.

Imani Saber S Ijaz Iqra I Shasaltaneh Marzieh Dehghan MD Fu Shangyi S Cheng Jingliang J Fu Junjiang J

Data in brief 20180412

This data article provides compelling computational analysis of the hotspot <i>CHM</i> gene mutations that contribute to the progressive causativeness and susceptibility of Choroideremia in patients. We performed structural and molecular dynamics (MD) simulation analysis on abnormal states of the CHM protein caused by deleterious and disease-causing hotspot mutant forms of CHM: S89C, E177K, and V529H. Within 40 ns, MD simulation time composed of the E177K mutant shows conformational alteration e ...[more]

PMID: 29900297

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Project description:PurposeWe report the underlying genotype and explore possible genotypic-phenotypic correlations in a large cohort of choroideremia patients.MethodsWe studied prospectively a cohort of 79 patients diagnosed within a tertiary referral service for patients with retinal dystrophies. Phenotypic evaluation consisted of clinical examination, including visual acuity and residual retinal area by fundus autofluorescence (FAF). Genotype was established by sequencing. We also investigated whether particular genotypes were associated with more severe phenotypes by performing analysis of covariance (ANCOVA), with visual acuity and FAF as the dependent variables and age as the covariant.ResultsA total of 74 (94%) of patients in our cohort had causative mutations by sequencing, the majority of which were anticipated to be null. Of these, 35 (47%) had insertions and deletions, 13 (18%) had mutations predicted to affect splicing, and 26 (35%) had single point mutations. In the latter case, 13 of 21 (62%) pedigrees with single point mutations were C to T transitions at C-phosphate-G (CpG) dinucleotides. These mutations were spread across 5 of only 24 CpG dinucleotides in the entire CHM cDNA. Furthermore, these 5 locations are the only sites at which C to T transitions result in a stop codon. No clear evidence was found for genotype-phenotype correlation except in the instance of a patient with a large deletion involving neighbouring sequences.ConclusionsIn patients with a diagnosis of choroideremia made by a specialty service, there is a high likelihood of establishing a genetic diagnosis. The majority of causative mutations appear to be null and, therefore, may benefit from gene replacement therapy. A disproportionate number of single point mutations observed were C to T transitions, consistent with the evolutionary decay of CpG dinucleotides through methylation and subsequent deamination. Hence, the development of choroideremia in such patients may represent the unwanted consequence of human evolution; de novo mutations are predicted to arise at these sites in future generations. (ClinicalTrials.gov number, NCT01461213.).

Dataset Information

In silico data analyses of the hotspot mutations of CHM gene in choroideremia disease.

Publications

In silico data analyses of the hotspot mutations of <i>CHM</i> gene in choroideremia disease.

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