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National Repository of Grey Literature 1 records found  Search took 0.01 seconds. 
The elucidation of the causes of neurogenetic diseases by the MPS data analysis using advanced algorithms
 Staněk, David ; Laššuthová, Petra (advisor) ; Halbhuber, Zbyněk (referee) ; Kemlink, David (referee)
8 Summary The thesis "The elucidation of the causes of neurogenetic diseases by the MPS data analysis using advanced algorithms" is focused on processing the massively parallel sequencing (MPS) data from a gene panel, whole-exome sequencing (WES) and whole-genome sequencing (WGS). The aim of the study was to develop a suitable pipeline to evaluate at least 250 MPS gene panel data, 150 WES data and 20 WGS data in order to improve molecular genetic testing of rare neurogenetic disorders. Associated data management and database implementation is also described. Targeted gene panel sequencing A custom-designed gene panel consisting of ge- nes previously associated with the disease was used. In the Epileptic Encephalopathy (EE) panel, two prerequisites need to be met for inclusion into the panel: the gene has to have been published in at least two independent publications OR at least in one publication but in multiple independent families. In the case of the EE panel, 112 genes were included. The targeted gene panel sequencing was then performed on 257 patients with EE. Pathogenic or likely pathogenic (according to ACMG criteria) variants have been found in 28% of patients (72 out of 257). Further analysis of the pathogenic or likely pathogenic variants was performed (76 in total); the variants were grouped by...
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