An Optimized Diagnostic Approach for Adults With Suspected Inherited Metabolic Disorders

Inherited metabolic disorders (IMDs) arise from defects in metabolic pathways essential for normal biochemical function. Although the pathogenic genetic variants are present at birth, clinical manifestations may not emerge until adolescence or adulthood. Symptoms may be more subtle compared to those of childhood onset IMDs and may have overlap with signs and symptoms of acquired disorders. This makes diagnosing IMDs in adulthood challenging. To identify how routine diagnostic care for adults suspected of having an IMD could be improved, we conducted a reanalysis study in a cohort of 31 adult participants. The participants, who remained undiagnosed after standard diagnostic care, were seen by a clinical geneticist, adult metabolic specialist and neurologist for deep phenotyping and data collection. Subsequently, exome sequencing data were reanalyzed and possible disease-causing variants were prioritized for further evaluation by a multidisciplinary team including both clinicians and geneticists (biochemical and molecular). This approach led to a (partial) diagnosis for nine participants from six families, giving a 25% diagnostic yield. We could distinguish four possible reasons why the identified disease-associated variants were not detected during routine diagnostic care. Beyond the expected impact of technical advancements and emerging knowledge of disease genes, we found that the most impactful factor was of organizational nature. Our findings underscore the value of reviewing all strong genetic variants within a multidisciplinary team setting, facilitating a bidirectional exchange of expertise. This approach enhances diagnostic accuracy, particularly when the underlying cause of the disease is not immediately apparent.

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Publication Details

Journal
Journal of Inherited Metabolic Disease
Published
2026-08-20
DOI
https://doi.org/10.1002/jimd.70238
Primary Topic
Genomics and Rare Diseases
Type
article
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article

An Optimized Diagnostic Approach for Adults With Suspected Inherited Metabolic Disorders

Sacha Ferdinandusse, Machteld M. Oud, Nicole I. Wolf, Laura K.M. Steinbusch et al.
Journal of Inherited Metabolic Disease
Genomics and Rare Diseases
article

An Optimized Diagnostic Approach for Adults With Suspected Inherited Metabolic Disorders

Sacha Ferdinandusse, Machteld M. Oud, Nicole I. Wolf, Laura K.M. Steinbusch, Robin Wijngaard, Mirjam Langeveld, Saskia N. van der Crabben, Elise A. Ferreira, André B. P. Kuilenburg, Clara D. M. van Karnebeek, Mareen Datema, Marc Engelen, the ZOEMBA Study Group
article en

Abstract

Inherited metabolic disorders (IMDs) arise from defects in metabolic pathways essential for normal biochemical function. Although the pathogenic genetic variants are present at birth, clinical manifestations may not emerge until adolescence or adulthood. Symptoms may be more subtle compared to those of childhood onset IMDs and may have overlap with signs and symptoms of acquired disorders. This makes diagnosing IMDs in adulthood challenging. To identify how routine diagnostic care for adults suspected of having an IMD could be improved, we conducted a reanalysis study in a cohort of 31 adult participants. The participants, who remained undiagnosed after standard diagnostic care, were seen by a clinical geneticist, adult metabolic specialist and neurologist for deep phenotyping and data collection. Subsequently, exome sequencing data were reanalyzed and possible disease-causing variants were prioritized for further evaluation by a multidisciplinary team including both clinicians and geneticists (biochemical and molecular). This approach led to a (partial) diagnosis for nine participants from six families, giving a 25% diagnostic yield. We could distinguish four possible reasons why the identified disease-associated variants were not detected during routine diagnostic care. Beyond the expected impact of technical advancements and emerging knowledge of disease genes, we found that the most impactful factor was of organizational nature. Our findings underscore the value of reviewing all strong genetic variants within a multidisciplinary team setting, facilitating a bidirectional exchange of expertise. This approach enhances diagnostic accuracy, particularly when the underlying cause of the disease is not immediately apparent.

Journal of Inherited Metabolic DiseaseVol. 49(5)
Radboud University Nijmegen (NL), Maastricht University Medical Centre (NL), Radboud University Medical Center (NL), Emma Kinderziekenhuis (NL), Netherlands Metabolomics Centre (NL), Amsterdam Neuroscience (NL), Amsterdam University Medical Centers (NL), Vrije Universiteit Amsterdam (NL), University of Amsterdam (NL)
Openalex Percentile: Top 10%
Genomics and Rare Diseases
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