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Stepwise use of genomics and transcriptomics technologies increases diagnostic yield in Mendelian disorders

Authors :
Estelle Colin
Yannis Duffourd
Martin Chevarin
Emilie Tisserant
Simon Verdez
Julien Paccaud
Ange-Line Bruel
Frédéric Tran Mau-Them
Anne-Sophie Denommé-Pichon
Julien Thevenon
Hana Safraou
Thomas Besnard
Alice Goldenberg
Benjamin Cogné
Bertrand Isidor
Julian Delanne
Arthur Sorlin
Sébastien Moutton
Mélanie Fradin
Christèle Dubourg
Magali Gorce
Dominique Bonneau
Salima El Chehadeh
François-Guillaume Debray
Martine Doco-Fenzy
Kevin Uguen
Nicolas Chatron
Bernard Aral
Nathalie Marle
Paul Kuentz
Anne Boland
Robert Olaso
Jean-François Deleuze
Damien Sanlaville
Patrick Callier
Christophe Philippe
Christel Thauvin-Robinet
Laurence Faivre
Antonio Vitobello
Source :
Frontiers in Cell and Developmental Biology, Vol 11 (2023)
Publication Year :
2023
Publisher :
Frontiers Media S.A., 2023.

Abstract

Purpose: Multi-omics offer worthwhile and increasingly accessible technologies to diagnostic laboratories seeking potential second-tier strategies to help patients with unresolved rare diseases, especially patients clinically diagnosed with a rare OMIM (Online Mendelian Inheritance in Man) disease. However, no consensus exists regarding the optimal diagnostic care pathway to adopt after negative results with standard approaches.Methods: In 15 unsolved individuals clinically diagnosed with recognizable OMIM diseases but with negative or inconclusive first-line genetic results, we explored the utility of a multi-step approach using several novel omics technologies to establish a molecular diagnosis. Inclusion criteria included a clinical autosomal recessive disease diagnosis and single heterozygous pathogenic variant in the gene of interest identified by first-line analysis (60%–9/15) or a clinical diagnosis of an X-linked recessive or autosomal dominant disease with no causative variant identified (40%–6/15). We performed a multi-step analysis involving short-read genome sequencing (srGS) and complementary approaches such as mRNA sequencing (mRNA-seq), long-read genome sequencing (lrG), or optical genome mapping (oGM) selected according to the outcome of the GS analysis.Results: SrGS alone or in combination with additional genomic and/or transcriptomic technologies allowed us to resolve 87% of individuals by identifying single nucleotide variants/indels missed by first-line targeted tests, identifying variants affecting transcription, or structural variants sometimes requiring lrGS or oGM for their characterization.Conclusion: Hypothesis-driven implementation of combined omics technologies is particularly effective in identifying molecular etiologies. In this study, we detail our experience of the implementation of genomics and transcriptomics technologies in a pilot cohort of previously investigated patients with a typical clinical diagnosis without molecular etiology.

Details

Language :
English
ISSN :
2296634X
Volume :
11
Database :
Directory of Open Access Journals
Journal :
Frontiers in Cell and Developmental Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.4593e6258ee746c78872071719392347
Document Type :
article
Full Text :
https://doi.org/10.3389/fcell.2023.1021920