Integrating Genome Sequencing and Untargeted Metabolomics in Monozygotic Twins with a Rare Complex Neurological Disorder
Multi-omics approaches, which integrate genomics, transcriptomics, proteomics, and metabolomics, have emerged as powerful tools in the diagnosis of rare diseases. We used untargeted metabolomics and whole-genome sequencing (WGS) to gain a more comprehensive understanding of a rare disease with a complex presentation affecting female twins from a consanguineous family. The sisters presented with polymicrogyria, a Dandy–Walker malformation, respiratory distress, and multiorgan dysfunctions. Through WGS, we identified two rare homozygous variants in both subjects, a pathogenic variant in ADGRG1(p.Arg565Trp) and a novel variant in CNTNAP1(p.Glu910Val). These genes have been previously associated with autosomal recessive polymicrogyria and hypomyelinating neuropathy with/without contractures, respectively. The twins exhibited symptoms that overlapped with both of these conditions. The results of the untargeted metabolomics analysis revealed significant metabolic perturbations relating to neurodevelopmental abnormalities, kidney dysfunction, and microbiome. The significant metabolites belong to essential pathways such as lipids and amino acid metabolism. The identification of variants in two genes, combined with the support of metabolic perturbation, demonstrates the rarity and complexity of this phenotype and provides valuable insights into its underlying mechanisms.
Other Information
Published in: Metabolites
License: https://creativecommons.org/licenses/by/4.0/
See article on publisher's website: https://dx.doi.org/10.3390/metabo14030152
Funding
Qatar National Research Fund (NPRP11S-0110-180250), The PMED-Qatar Study: Personalized Molecular Evaluation and Diagnosis for Rare Diseases in Qatar.
Qatar National Research Fund (NPRP11S-0114-180299), Large Scale Multi-Omics Integration for discovering pathways in Type 2 Diabetes and Obesity in the Qatari population.
Precision Medicine Program Internal Research Fund IRF (SDR1000340).
History
Language
- English
Publisher
MDPIPublication Year
- 2024
License statement
This Item is licensed under the Creative Commons Attribution 4.0 International License.Institution affiliated with
- Hamad Bin Khalifa University
- College of Health and Life Sciences - HBKU
- Sidra Medicine
- Clinical Research Centre - Sidra Medicine
- Weill Cornell Medicine - Qatar