Genes (Apr 2022)

PanelDesign: Integrating Epidemiological Information into the Design of Diagnostic NGS Gene Panels

  • Jörg Schmidtke,
  • Peter Philipp,
  • Kathrin Rommel,
  • Ralf Glaubitz,
  • Jörg T. Epplen,
  • Michael Krawczak

DOI
https://doi.org/10.3390/genes13040684
Journal volume & issue
Vol. 13, no. 4
p. 684

Abstract

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We report upon PanelDesign, a framework to support the design of diagnostic next generation DNA sequencing panels with epidemiological information. Two publicly available resources, namely Genomics England PanelApp and Orphadata, were combined into a single data set to allow genes in a given NGS panel to be ranked according to the frequency of the associated diseases, thereby highlighting potential core genes as defined by the Eurogenetest/ESHG guidelines for diagnostic next generation DNA sequencing. In addition, PanelDesign can be used to evaluate the contribution of different genes to a given disease following ACMG (American College of Medical Genetics) technical standards.

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