Evidence map›Paper›PMID 35506430›Full record

ReviewJournal of inherited metabolic disease2022

How to proceed after "negative" exome: A review on genetic diagnostics, limitations, challenges, and emerging new multiomics techniques.

Saskia B Wortmann, Machteld M Oud, Mariëlle Alders, Karlien L M Coene, Saskia N van der Crabben, René G Feichtinger, Alejandro Garanto, Alex Hoischen, Mirjam Langeveld, Dirk Lefeber and 11 more

Abstract readReview
In one paragraph

Review in Journal of inherited metabolic disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Guideline
  2. Guideline
  3. Pooled it
  4. Article
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  7. Article
  8. NovelWorld journal of clinical pediatrics · 2026
    Article
  9. Review
  10. Heterogeneity of monogenic epilepsy in loci, phenotypes, and treatment approaches.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Saskia B WortmannRadboud Center for Mitochondrial and Metabolic Medicine, Department of Pediatrics, Amalia Children's Hospital, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID 0000-0002-1968-8103
Machteld M OudUnited for Metabolic Diseases, Amsterdam, The Netherlands.
Mariëlle AldersDepartment of Human Genetics, Amsterdam UMC, University of Amsterdam, Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands.
Karlien L M CoeneUnited for Metabolic Diseases, Amsterdam, The Netherlands.
Saskia N van der CrabbenDepartment of Human Genetics, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands.
René G FeichtingerUniversity Children's Hospital, Paracelsus Medical University, Salzburg, Austria.
Alejandro GarantoRadboud Center for Mitochondrial and Metabolic Medicine, Department of Pediatrics, Amalia Children's Hospital, Radboud University Medical Center, Nijmegen, The Netherlands.
Alex HoischenDepartment of Human Genetics, Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud Institute of Medical Life Sciences, Radboud University Medical Center, Nijmegen, the Netherlands.
Mirjam LangeveldDepartment of Endocrinology and Metabolism, Amsterdam University Medical Centers, location AMC, University of Amsterdam, Amsterdam, The Netherlands.
Dirk LefeberUnited for Metabolic Diseases, Amsterdam, The Netherlands.
Johannes A MayrUniversity Children's Hospital, Paracelsus Medical University, Salzburg, Austria.
Charlotte W OckeloenDepartment of Human Genetics, Radboud Institute for Molecular Lifesciences, Nijmegen, The Netherlands.
Holger ProkischSchool of Medicine, Institute of Human Genetics, Technical University Munich and Institute of Neurogenomics, Neuherberg, Germany.
Richard RodenburgRadboud Center for Mitochondrial and Metabolic Medicine, Translational Metabolic Laboratory, Department of Pediatrics, Radboud University Medical Center, Nijmegen, The Netherlands.
Hans R WaterhamUnited for Metabolic Diseases, Amsterdam, The Netherlands.
Ron A WeversUnited for Metabolic Diseases, Amsterdam, The Netherlands.
Bart P C van de WarrenburgDepartment of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
Michel A A P WillemsenDepartments of Pediatric Neurology and Pediatrics, Amalia Children's Hospital, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands.
Nicole I WolfAmsterdam Leukodystrophy Center, Department of Child Neurology, Emma Children's Hospital, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Lisenka E L M VissersDepartment of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.
Clara D M van KarnebeekRadboud Center for Mitochondrial and Metabolic Medicine, Department of Pediatrics, Amalia Children's Hospital, Radboud University Medical Center, Nijmegen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

ExomeGenomicsDNA, MitochondrialExome SequencingGenetic TestingPhenotypeDNA, Mitochondrialdiagnostic yieldexome-negativeexome sequencinggenome sequencinginborn metabolic diseasetreatment

Identifiers

PMID35506430
PMCPMC9539960

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.