Associated Papers
WilsonGenAI a deep learning approach to classify pathogenic variants in Wilson Disease.
Vatsyayan A et al.
Plos One, 2024
38758754 (PubMed )
Supplement: pone.0303787.s016.xlsx › S4table
GESPA: classifying nsSNPs to predict disease association.
Khurana JK et al.
Bmc Bioinformatics, 2015
26206375 (PubMed )
Supplement: 12859_2015_673_MOESM2_ESM.xls › Sheet1
MR image mimicking the "eye of the tiger" sign in Wilson's disease.
Litwin T et al.
Journal of Neurology, 2014
Concordance rates of Wilson's disease phenotype among siblings.
Chabik G et al.
Journal of Inherited Metabolic Disease, 2014
Genetic defects in Indian Wilson disease patients and genotype-phenotype correlation.
Mukherjee S et al.
Parkinsonism & Related Disorders, 2014
Genotyping microarray as a novel approach for the detection of ATP7B gene mutations in patients with Wilson disease.
Gojová L et al.
Clinical Genetics, 2008
Frameshift and nonsense mutations in the gene for ATPase7B are associated with severe impairment of copper metabolism and with an early clinical manifestation of Wilson's disease.
Gromadzka G et al.
Clinical Genetics, 2005
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