Zoektocht Naar Erfelijke MetaBole Aandoening (Dutch)/ Solve The Unsolved (English)

Rationale: Inborn Errors of Metabolism (IEM) are monogenic conditions in which the impairment of a biochemical pathway is intrinsic to the pathophysiology of the disease. Organ dysfunction results from intoxication and/or storage of metabolites, as well as a shortage of energy and building blocks. Rapid diagnosis of IEM enables initiation of targeted treatment (e.g. diet) slowing down or stopping the degenerative nature of the disease, resulting in significantly reduction of morbidity and mortality. A diagnosis also enables prognostication, access to community services and accurate genetic counselling for the patient and his/her family. Diagnosing IEM can be a major challenge, because of phenotypic heterogeneity and complex, expensive, diagnostic tests. Whole exome/ genome sequencing (WES/WGS) has revolutionized diagnostics of rare diseases and IEM, but still gives a negative or inconclusive result in >50% of cases. Addition of other omics technologies (metabolomics, glycomics, lipidomics, epigenomics, transcriptomics, proteomics) with integrated bioinformatics increases diagnostic yield, as it may point to the defective pathway allowing scrutinizing genes in genomic data or vice versa: it generates evidence of the deleterious functional impact of a DNA variants of unknown significance (VUS). In this study we will unite our national expertises and apply a multi-omics approach to solve the unsolved genetic basis of patients with a metabolic phenotype on a larger scale.

Objective: Integrating genomic (WES/WGS) and other -omics technologies in order to find the genetic causes, in 500 patients (children and adults) with an unexplained metabolic phenotype in whom standard care (genetic and metabolic evaluation) did not provide a diagnosis.

Study design: A prospective, diagnostic (deep phenotyping, WES/WGS and pan-omics) multicenter cohort study.

Study population: (In)capacitated patients (all ages/both genders) with a clinical (and/or family) history and abnormal additional examination (physical (neurological)/ biochemical/ radiological/ genetic) suspicious for an IEM, without diagnosis.

Main study parameters/endpoints: 1) identification of a genetic variant and alignment with its biochemical and phenotypical abnormalities; 2) evaluating the diagnostic yield of combined WES/WGS and omics techniques Methods used: Patients with unexplained metabolic phenotypes are referred (on paper) and discussed by the ZOEMBA (Zoektocht naar Erfelijke MetaBole Aandoening) team. Clinical phenotyping, bioinformatic reanalysis of WES data and additional metabolomics will be performed in all participants. In case still no diagnosis is made, a tailormade diagnostic plan is made combining deep WES, WGS, glycomics, lipidomics, epigenomics, transcriptomics and/or proteomics leading to: a known IEM, a candidate variant or no diagnosis. In case of a variant, additional functional studies (enzymatic assays, targeted omics, CRISPR/CAS, cell lines) will be performed to confirm the effect of the genetic variant on protein function. When still no diagnosis is established, matchmaking (genetic/phenotypical) through international databases might lead to a diagnosis.