Resumen
Background: DGAT1, a gene encoding a protein involved in lipid metabolism, has been recently implicated in causing a rare nutritional and digestive disease presenting as Congenital Diarrheal Disorder (CDD). Genetic causes of malnutrition can be classified as metabolic disorders, caused by loss of a specific enzyme's function. However, disease driven by genetic variants in lipid metabolism genes is not well understood, and additional information is needed to better understand these effects. Methods: We gathered a multi-institutional cohort of undiagnosed patients with a constellation of phenotypes presenting as malnutrition and metal ion dysregulation. Clinical Whole Exome Sequencing (WES) was performed on four patients and their unaffected parents. We prioritized genetic variants based on multiple criteria including population allele frequency and presumed inheritance pattern, and identified a candidate gene. Computational modeling was used to investigate if the altered amino acids are likely to result in a dysfunctional enzyme. Results: We identified a multi-institutional cohort of patients presenting with malnutrition-like symptoms and likely pathogenic genomic variants within DGAT1. Multiple approaches were used to profile the effect these variants have on protein structure and function. Laboratory and nutritional intervention studies showed rapid and robust patient responses. Conclusions: This report adds on to the database for existing mutations known within DGAT1, a gene recently implicated with CDD, and also expands its clinical spectrum. Identification of these DGAT1 mutations by WES has allowed for changes in the patients’ nutritional rehabilitation, reversed growth failure and enabled them to be weaned off of total parenteral nutrition (TPN).
| Idioma original | English |
|---|---|
| Número de artículo | 103817 |
| Publicación | European Journal of Medical Genetics |
| Volumen | 63 |
| N.º | 4 |
| DOI | |
| Estado | Published - abr 2020 |
Nota bibliográfica
Publisher Copyright:© 2019 Elsevier Masson SAS
Financiación
This work was internally funded by the Center for Individualized Medicine at Mayo Clinic. This research was completed in part with computational resources and technical support provided by the Research Computing Center at the Medical College of Wisconsin. This work was internally funded by the Center for Individualized Medicine at Mayo Clinic . This research was completed in part with computational resources and technical support provided by the Research Computing Center at the Medical College of Wisconsin .
| Financiadores |
|---|
| Maryland Advanced Research Computing Center |
| Mayo Clinic Rochester |
| Medical College of Wisconsin |
| MAYO Clinic, Center for Individualized Medicine |
ODS de las Naciones Unidas
Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible
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Zero hunger
ASJC Scopus subject areas
- Genetics
- Genetics(clinical)
Huella
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