How to proceed after "negative" exome: A review on genetic diagnostics, limitations, challenges, and emerging new multiomics techniques. Issue 4 (22nd May 2022)

• Record Type: Journal Article
• Authors: Wortmann, Saskia B.; Oud, Machteld M.; Alders, Mariëlle; Coene, Karlien L. M.; van der Crabben, Saskia N.; Feichtinger, René G.; Garanto, Alejandro; Hoischen, Alex; Langeveld, Mirjam; Lefeber, Dirk; Mayr, Johannes A.; Ockeloen, Charlotte W.; Prokisch, Holger; Rodenburg, Richard; Waterham, Hans R.; Wevers, Ron A.; van de Warrenburg, Bart P. C.; Willemsen, Michel A. A. P.; Wolf, Nicole I.; Vissers, Lisenka E. L. M.; van Karnebeek, Clara D. M.
• Is Part Of: Journal of inherited metabolic disease. Volume 45:Issue 4(2022)
• Page Start: 663
• Page End: 681
• Publication Date: 2022-05-22
• Subjects: diagnostic yield -- exome‐negative -- exome sequencing -- genome sequencing -- inborn metabolic disease -- treatment; Metabolism, Inborn errors of -- Periodicals; Metabolism -- Disorders -- Periodicals; 616.39042
• DOI: 10.1002/jimd.12507
• Languages: English
• ISSNs: 0141-8955

Abstract

Abstract: Exome sequencing (ES) in the clinical setting of inborn metabolic diseases (IMDs) has created tremendous improvement in achieving an accurate and timely molecular diagnosis for a greater number of patients, but it still leaves the majority of patients without a diagnosis. In parallel, (personalized) treatment strategies are increasingly available, but this requires the availability of a molecular diagnosis. IMDs comprise an expanding field with the ongoing identification of novel disease genes and the recognition of multiple inheritance patterns, mosaicism, variable penetrance, and expressivity for known disease genes. The analysis of trio ES is preferred over singleton ES as information on the allelic origin (paternal, maternal, "de novo") reduces the number of variants that require interpretation. All ES data and interpretation strategies should be exploited including CNV and mitochondrial DNA analysis. The constant advancements in available techniques and knowledge necessitate the close exchange of clinicians and molecular geneticists about genotypes and phenotypes, as well as knowledge of the challenges and pitfalls of ES to initiate proper further diagnostic steps. Functional analyses (transcriptomics, proteomics, and metabolomics) can be applied to characterize and validate the impact of identified variants, or to guide the genomic search for a diagnosis in unsolved cases. Future diagnostic techniques (genome sequencing [GS], optical genome mapping, long‐read sequencing, and epigenetic profiling) will further enhance the diagnostic yield. We provide an overview of the challenges and limitations inherent to ES followed by an outline of solutions and a clinical checklist, focused on establishing a diagnosis to eventually achieve (personalized) treatment.