High-yield identification of pathogenic NF1 variants by skin fibroblast transcriptome screening after apparently normal diagnostic DNA testing

Hannie C.W. Douben, Mark Nellist, Leontine van Unen, Peter Elfferich, Esmee Kasteleijn, Marianne Hoogeveen-Westerveld, Jesse Louwen, Monique van Veghel-Plandsoen, Walter de Valk, Jasper J. Saris, Femke Hendriks, Esther Korpershoek, Lies H. Hoefsloot, Margreethe van Vliet, Yolande van Bever, Ingrid van de Laar, Emmelien Aten, Augusta M.A. Lachmeijer, Walter Taal, Lisa van den BersselaarJuliette Schuurmans, Rianne Oostenbrink, Rick van Minkelen, Yvette van Ierland, Tjakko J. van Ham*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

6 Citations (Scopus)
118 Downloads (Pure)

Abstract

Neurofibromatosis type 1 (NF1) is caused by inactivating mutations in NF1. Due to the size, complexity, and high mutation rate at the NF1 locus, the identification of causative variants can be challenging. To obtain a molecular diagnosis in 15 individuals meeting diagnostic criteria for NF1, we performed transcriptome analysis (RNA-seq) on RNA obtained from cultured skin fibroblasts. In each case, routine molecular DNA diagnostics had failed to identify a disease-causing variant in NF1. A pathogenic variant or abnormal mRNA splicing was identified in 13 cases: 6 deep intronic variants and 2 transposon insertions causing noncanonical splicing, 3 postzygotic changes, 1 branch point mutation and, in 1 case, abnormal splicing for which the responsible DNA change remains to be identified. These findings helped resolve the molecular findings for an additional 17 individuals in multiple families with NF1, demonstrating the utility of skin-fibroblast-based transcriptome analysis for molecular diagnostics. RNA-seq improves mutation detection in NF1 and provides a powerful complementary approach to DNA-based methods. Importantly, our approach is applicable to other genetic disorders, particularly those caused by a wide variety of variants in a limited number of genes and specifically for individuals in whom routine molecular DNA diagnostics did not identify the causative variant.

Original languageEnglish
Pages (from-to)2130-2140
Number of pages11
JournalHuman Mutation
Volume43
Issue number12
Early online date17 Oct 2022
DOIs
Publication statusPublished - Dec 2022

Bibliographical note

Funding Information:
TvH was supported by an Erasmus University Rotterdam (EUR) fellowship.

Publisher Copyright:
© 2022 The Authors. Human Mutation published by Wiley Periodicals LLC.

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