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Identification of a pathogenic deep intronic variant in ATRX ends a diagnostic odyssey.

Jasper J van der SmagtAngeliki P LampriIris de LangeMariëlle AldersMichiel L HoubenMarco J KoudijsRichard H van Jaarsveld
Published in: European journal of medical genetics (2024)
Variation in the non-coding genome is being increasingly recognized to be involved in monogenic disease etiology. However, the interpretation of non-coding variation is complicated by a lack of understanding of how non-coding genetic elements function. Additional lines of evidence are therefore needed to recognize non-coding variants as pathogenic. We here present a case where a collective body of evidence resulted in the identification and conclusive classification of a pathogenic deep intronic variant in ATRX. This report demonstrates the utility of a multi-platform approach in aiding the identification of pathogenic variants outside coding regions. Furthermore, it marks the first reported instance of a deep intronic pathogenic variant in ATRX.
Keyphrases
  • copy number
  • bioinformatics analysis
  • genome wide
  • machine learning
  • deep learning
  • gene expression
  • high throughput
  • dna methylation
  • single cell