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Whole-Exome Sequencing in Czech Patients with Neurogenetic Diseases.
Stanek, David; Sedlácková, Lucie; Seeman, Pavel; Safka Brozková, Dana; Lassuthová, Petra.
Afiliación
  • Stanek D; DNA Laboratory, Department of Paediatric Neurology, Charles University and University Hospital Motol, Prague, Czech Republic.
  • Sedlácková L; DNA Laboratory, Department of Paediatric Neurology, Charles University and University Hospital Motol, Prague, Czech Republic.
  • Seeman P; DNA Laboratory, Department of Paediatric Neurology, Charles University and University Hospital Motol, Prague, Czech Republic.
  • Safka Brozková D; DNA Laboratory, Department of Paediatric Neurology, Charles University and University Hospital Motol, Prague, Czech Republic.
  • Lassuthová P; DNA Laboratory, Department of Paediatric Neurology, Charles University and University Hospital Motol, Prague, Czech Republic.
Genet Test Mol Biomarkers ; 24(5): 264-273, 2020 May.
Article en En | MEDLINE | ID: mdl-32255705
Aims: Genomic studies play a major role in variant observations between and within populations and in identifying causal relationships between genotypes and phenotypes. Analyses using databases such as gnomAD can provide insight into the frequencies of alleles in large populations. There have been reports that detail such frequencies for several countries and ethnic groups, but as yet, there are no such datasets for the Czech population. Patients and Methods: Whole-exome sequencing (WES) data from 222 individuals from the Czech Republic were analyzed by The Genome Analysis Toolkit best practices pipeline. These data were annotated with the ANNOVAR tool, and the allele frequencies were computed. Results: We developed a database that contains 300,111 variants in 17,512 genes. It is accessible through a simple web query available at prot2hg.com/variantbrowser. Gene-based analyses identified those genes that are most tolerant to variants in our population. Second, allele frequencies in our population were compared to the gnomAD database and groups of variants frequent in our population, but ultra-rare in gnomAD as a whole were identified. Conclusion: This tool should be useful for detecting local variants in the Czech population of patients with neurogenetic diseases.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedades Neurodegenerativas / Bases de Datos Genéticas / Enfermedades del Sistema Nervioso Tipo de estudio: Guideline Límite: Adult / Female / Humans / Male País/Región como asunto: Europa Idioma: En Revista: Genet Test Mol Biomarkers Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA Año: 2020 Tipo del documento: Article País de afiliación: República Checa Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedades Neurodegenerativas / Bases de Datos Genéticas / Enfermedades del Sistema Nervioso Tipo de estudio: Guideline Límite: Adult / Female / Humans / Male País/Región como asunto: Europa Idioma: En Revista: Genet Test Mol Biomarkers Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA Año: 2020 Tipo del documento: Article País de afiliación: República Checa Pais de publicación: Estados Unidos