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

Author:

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

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.

Publisher

Frontiers Media SA

Subject

Cell Biology,Developmental Biology

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