The pathophysiology of dystonia in Wilson disease (WD) is complex and poorly understood. Copper accumulation in the basal ganglia, disrupts dopaminergic pathways, contributing to dystonia's development via neurotransmitter imbalance. Despite advances in diagnosis and management, WD with dystonia remains a challenging condition to treat. We aim to report the unprecedented co-occurrence of pathogenic genetic variants in both the ATP7B and KMT2B genes in a patient with WD. A 13-year-old male presented at 12 with dysarthria and bilateral Kayser-Fleischer rings. Over months, dystonia spread to his left foot, upper limb, and trunk, accompanied by slowed daily activities. Diagnostic tests included MRI for brain structure, abdominal ultrasound for liver function, serum ceruloplasmin and copper levels to assess copper metabolism, and 24-hour urine copper tests for excretion levels. Whole exome sequencing was conducted using genomic DNA from peripheral blood samples. Variant classification followed guidelines from the American College of Medical Genetics and Genomics. The sequencing revealed compound heterozygous pathogenic variants in the ATP7B gene: NM_000053.4:c.2165dupT and NM_000053.4:c.813C>A. A pathogenic variant in the KMT2B gene, NM_014727:c.3052delA, was identified. This case highlights WD co-occurrence with ATP7B and KMT2B mutations, suggesting KMT2B as a potential genetic modifier.
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The pathophysiology of dystonia in Wilson disease (WD) is complex and poorly understood. Copper accumulation in the basal ganglia, disrupts dopaminergic pathways, contributing to dystonia's development via neurotransmitter imbalance. Despite advances in diagnosis and management, WD with dystonia remains a challenging condition to treat.
View Article and Find Full Text PDFDatabase (Oxford)
December 2024
The Morris Kahn Laboratory of Human Genetics at the National Institute of Biotechnology in the Negev and Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva 84105, Israel.
Originally developed to meet the challenges of genomic data deluge, GeniePool emerged as a pioneering platform, enabling efficient storage, accessibility, and analysis of vast genomic datasets, enabled due to its data lake architecture. Building on this foundation, GeniePool 2.0 advances genomic analysis through the integration of cutting-edge variant databases, such as CHM13-T2T, AlphaMissense, and gnomAD V4, coupled with the capability for variant co-occurrence queries.
View Article and Find Full Text PDFbioRxiv
November 2024
Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, CO 80045, USA; Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
The growing availability of genome-wide association studies (GWAS) and large-scale biobanks provides an unprecedented opportunity to explore the genetic basis of complex traits and diseases. However, with this vast amount of data comes the challenge of interpreting numerous associations across thousands of traits, especially given the high polygenicity and pleiotropy underlying complex phenotypes. Traditional clustering methods, which identify global patterns in data, lack the resolution to capture overlapping associations relevant to subsets of traits or genes.
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Sci Bull (Beijing)
September 2024
School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China.
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