Evaluation of the Relationship Between Neurologic Manifestations and Genetic Mutations in Wilson’s Disease with Next-Generation Sequencing

<b>Background</b>: Wilson's disease (WD) is a rare autosomal recessive disorder caused by mutations in the <i>ATP7B</i> gene, leading to copper accumulation in the liver and brain. Given the clinical heterogeneity of the disease, this study aimed to characterize the mutational spectrum of <i>ATP7B</i> and explore genotype-phenotype correlations in Turkish patients. <b>Methods</b>: Whole-exome sequencing (WES) was performed in 17 Turkish patients clinically diagnosed with WD. Variants were annotated and evaluated using five in silico prediction tools (REVEL, CADD, PolyPhen, SIFT, MutationTaster). Copy number variation (CNV) analysis was conducted using the CLC Genomics Server (Version 22.0.2). <b>Results</b>: A total of 14 distinct <i>ATP7B</i> variants were identified, comprising 12 missense, 1 nonsense, and 1 frameshift mutation. Variant distribution showed some phenotype-specific patterns: four variants were found more frequently in hepatic cases and three in neurological cases, although no statistically significant or consistent correlation between genotype and clinical presentation could be established. The most frequent mutation was p.His1069Gln, present in both phenotypes. All missense variants were predicted to be pathogenic by at least three computational tools, with high concordance among platforms. No pathogenic CNVs were detected. <b>Conclusions</b>: This study expands the mutational landscape of <i>ATP7B</i> in Turkish patients with WD and supports the utility of WES combined with in silico tools for accurate variant classification. The results emphasize the genetic heterogeneity of WD and suggest possible associations between certain mutations and clinical phenotypes.

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Journal
Diagnostics
Published
2025-10-24
DOI
https://doi.org/10.3390/diagnostics15212689
Citations
1
Primary Topic
Trace Elements in Health
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article
Field-Weighted Citation Impact
1.12
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article

Evaluation of the Relationship Between Neurologic Manifestations and Genetic Mutations in Wilson’s Disease with Next-Generation Sequencing

Fatma İlknur Varol, Tuğba Kul Köprülü, Sami Akbulut, Cemil Çolak et al.
1 citations
Diagnostics
Trace Elements in Health
1.12
article

Evaluation of the Relationship Between Neurologic Manifestations and Genetic Mutations in Wilson’s Disease with Next-Generation Sequencing

Fatma İlknur Varol, Tuğba Kul Köprülü, Sami Akbulut, Cemil Çolak, Şeyma İş, Ahmet Koç, Sezai Yılmaz, Zeynep Küçükakçalı, Şaban Teki̇n
article en
1 citations

Abstract

<b>Background</b>: Wilson's disease (WD) is a rare autosomal recessive disorder caused by mutations in the <i>ATP7B</i> gene, leading to copper accumulation in the liver and brain. Given the clinical heterogeneity of the disease, this study aimed to characterize the mutational spectrum of <i>ATP7B</i> and explore genotype-phenotype correlations in Turkish patients. <b>Methods</b>: Whole-exome sequencing (WES) was performed in 17 Turkish patients clinically diagnosed with WD. Variants were annotated and evaluated using five in silico prediction tools (REVEL, CADD, PolyPhen, SIFT, MutationTaster). Copy number variation (CNV) analysis was conducted using the CLC Genomics Server (Version 22.0.2). <b>Results</b>: A total of 14 distinct <i>ATP7B</i> variants were identified, comprising 12 missense, 1 nonsense, and 1 frameshift mutation. Variant distribution showed some phenotype-specific patterns: four variants were found more frequently in hepatic cases and three in neurological cases, although no statistically significant or consistent correlation between genotype and clinical presentation could be established. The most frequent mutation was p.His1069Gln, present in both phenotypes. All missense variants were predicted to be pathogenic by at least three computational tools, with high concordance among platforms. No pathogenic CNVs were detected. <b>Conclusions</b>: This study expands the mutational landscape of <i>ATP7B</i> in Turkish patients with WD and supports the utility of WES combined with in silico tools for accurate variant classification. The results emphasize the genetic heterogeneity of WD and suggest possible associations between certain mutations and clinical phenotypes.

DiagnosticsVol. 15(21)
Inonu University (TR), Türkisch-Deutsche Universität (TR), Sağlık Bilimleri Üniversitesi (TR), University of Health Sciences Antigua (AG)
Openalex Percentile: Top 18%
Trace Elements in Health
1.12
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