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.
Original language | English |
---|---|
Pages (from-to) | 663-681 |
Number of pages | 19 |
Journal | Journal of inherited metabolic disease |
Volume | 45 |
Issue number | 4 |
Early online date | 2022 |
DOIs | |
Publication status | Published - Jul 2022 |
Keywords
- diagnostic yield
- exome sequencing
- exome-negative
- genome sequencing
- inborn metabolic disease
- treatment
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In: Journal of inherited metabolic disease, Vol. 45, No. 4, 07.2022, p. 663-681.
Research output: Contribution to journal › Review article › Academic › peer-review
TY - JOUR
T1 - How to proceed after “negative” exome
T2 - A review on genetic diagnostics, limitations, challenges, and emerging new multiomics techniques
AU - Wortmann, Saskia B.
AU - Oud, Machteld M.
AU - Alders, Mariëlle
AU - Coene, Karlien L.M.
AU - van der Crabben, Saskia N.
AU - Feichtinger, René G.
AU - Garanto, Alejandro
AU - Hoischen, Alex
AU - Langeveld, Mirjam
AU - Lefeber, Dirk
AU - Mayr, Johannes A.
AU - Ockeloen, Charlotte W.
AU - Prokisch, Holger
AU - Rodenburg, Richard
AU - Waterham, Hans R.
AU - Wevers, Ron A.
AU - van de Warrenburg, Bart P.C.
AU - Willemsen, Michel A.A.P.
AU - Wolf, Nicole I.
AU - Vissers, Lisenka E.L.M.
AU - van Karnebeek, Clara D.M.
N1 - Funding Information: The authors thank Han G. Brunner for his input during fruitful discussions, the TIDEX team for our multiomics collaborations, and Stichting Metakids for their support of United for Metabolic Diseases. NI Wolf, BP van de Warrenburg, and MA Willemsen are members of the European Reference Network “Rare Neurological Disorders” (ERN‐RND), project ID 739510. SB Wortmann, RG Feichtinger, JA Mayr, and CD van Karnebeek are (affiliated) members of the European Reference Network “MetabERN‐ European Reference Network for Hereditary Metabolic Disorders.” LELM Vissers is a member of the European Reference Network on “Rare Congenital Malformations and Rare Intellectual Disability ERN‐ITHACA” [EU Framework Partnership Agreement ID: 3HP‐HP‐FPA ERN‐01‐2016/739516]. SBW receives funding from PMU‐FFF A‐20/01/040‐WOS, ERAPERMED2019‐310, FWF‐18023. LELMV receives funding for the SOLVE‐RD project from the European Union's Horizon 2020 research and innovation program under grant agreement no. 779257. HP was supported by the German Federal Ministry of Education and Research (BMBF, Bonn, Germany) and Horizon2020 through the European Joint Program on Rare Diseases project GENOMIT (01GM1920A) and the ERA PerMed project PerMiM (01KU2016A). BvdW receives grants from Hersenstichting, Radboudumc, ZonMW, Gossweiler Foundation, and Michael J Fox Foundation. CvK receives funding from the European Union's Horizon 2020 research and innovation program under the EJP RD COFUND‐EJP no. 825575, and Stichting Metakids NL. Funding Information: Bundesministerium für Bildung und Forschung, Grant/Award Number: GENOMIT (01GM1920A); ERA‐Permed, Grant/Award Number: PerMiM (01KU2016A); ERAPERMED, Grant/Award Number: ERAPERMED2019‐310; FWF, Grant/Award Number: FWF‐18023; Hersenstichting; Horizon 2020, Grant/Award Numbers: No 779257, EJP RD COFUND‐EJP N° 825575; Michael J. Fox Foundation for Parkinson's Research; PMU‐FFF, Grant/Award Number: PMU‐FFF A‐20/01/040‐WOS; Radboud Universitair Medisch Centrum; Stichting metakids; ZonMW Funding information Funding Information: information Bundesministerium für Bildung und Forschung, Grant/Award Number: GENOMIT (01GM1920A); ERA-Permed, Grant/Award Number: PerMiM (01KU2016A); ERAPERMED, Grant/Award Number: ERAPERMED2019-310; FWF, Grant/Award Number: FWF-18023; Hersenstichting; Horizon 2020, Grant/Award Numbers: No 779257, EJP RD COFUND-EJP N° 825575; Michael J. Fox Foundation for Parkinson's Research; PMU-FFF, Grant/Award Number: PMU-FFF A-20/01/040-WOS; Radboud Universitair Medisch Centrum; Stichting metakids; ZonMWThe authors thank Han G. Brunner for his input during fruitful discussions, the TIDEX team for our multiomics collaborations, and Stichting Metakids for their support of United for Metabolic Diseases. NI Wolf, BP van de Warrenburg, and MA Willemsen are members of the European Reference Network “Rare Neurological Disorders” (ERN-RND), project ID 739510. SB Wortmann, RG Feichtinger, JA Mayr, and CD van Karnebeek are (affiliated) members of the European Reference Network “MetabERN- European Reference Network for Hereditary Metabolic Disorders.” LELM Vissers is a member of the European Reference Network on “Rare Congenital Malformations and Rare Intellectual Disability ERN-ITHACA” [EU Framework Partnership Agreement ID: 3HP-HP-FPA ERN-01-2016/739516]. SBW receives funding from PMU-FFF A-20/01/040-WOS, ERAPERMED2019-310, FWF-18023. LELMV receives funding for the SOLVE-RD project from the European Union's Horizon 2020 research and innovation program under grant agreement no. 779257. HP was supported by the German Federal Ministry of Education and Research (BMBF, Bonn, Germany) and Horizon2020 through the European Joint Program on Rare Diseases project GENOMIT (01GM1920A) and the ERA PerMed project PerMiM (01KU2016A). BvdW receives grants from Hersenstichting, Radboudumc, ZonMW, Gossweiler Foundation, and Michael J Fox Foundation. CvK receives funding from the European Union's Horizon 2020 research and innovation program under the EJP RD COFUND-EJP no. 825575, and Stichting Metakids NL. Publisher Copyright: © 2022 The Authors. Journal of Inherited Metabolic Disease published by John Wiley & Sons Ltd on behalf of SSIEM.
PY - 2022/7
Y1 - 2022/7
N2 - 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.
AB - 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.
KW - diagnostic yield
KW - exome sequencing
KW - exome-negative
KW - genome sequencing
KW - inborn metabolic disease
KW - treatment
UR - http://www.scopus.com/inward/record.url?scp=85130245010&partnerID=8YFLogxK
U2 - https://doi.org/10.1002/jimd.12507
DO - https://doi.org/10.1002/jimd.12507
M3 - Review article
C2 - 35506430
SN - 0141-8955
VL - 45
SP - 663
EP - 681
JO - Journal of inherited metabolic disease
JF - Journal of inherited metabolic disease
IS - 4
ER -