Compilation of Genotype and Phenotype Data in <i>GCDH</i>-LOVD for Variant Classification and Further Application

Glutaric aciduria type 1 (GA-1) is a rare but treatable autosomal-recessive neurometabolic disorder of lysin metabolism caused by biallelic pathogenic variants in glutaryl-CoA dehydrogenase gene (<i>GCDH</i>) that lead to deficiency of GCDH protein. Without treatment, this enzyme defect...

Full description

Bibliographic Details
Main Authors: Alexandra Tibelius, Christina Evers, Sabrina Oeser, Isabelle Rinke, Anna Jauch, Katrin Hinderhofer
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Genes
Subjects:
Online Access:https://www.mdpi.com/2073-4425/14/12/2218
_version_ 1797380883842334720
author Alexandra Tibelius
Christina Evers
Sabrina Oeser
Isabelle Rinke
Anna Jauch
Katrin Hinderhofer
author_facet Alexandra Tibelius
Christina Evers
Sabrina Oeser
Isabelle Rinke
Anna Jauch
Katrin Hinderhofer
author_sort Alexandra Tibelius
collection DOAJ
description Glutaric aciduria type 1 (GA-1) is a rare but treatable autosomal-recessive neurometabolic disorder of lysin metabolism caused by biallelic pathogenic variants in glutaryl-CoA dehydrogenase gene (<i>GCDH</i>) that lead to deficiency of GCDH protein. Without treatment, this enzyme defect causes a neurological phenotype characterized by movement disorder and cognitive impairment. Based on a comprehensive literature search, we established a large dataset of <i>GCDH</i> variants using the Leiden Open Variation Database (LOVD) to summarize the known genotypes and the clinical and biochemical phenotypes associated with GA-1. With these data, we developed a <i>GCDH</i>-specific variation classification framework based on American College of Medical Genetics and Genomics and the Association for Molecular Pathology guidelines. We used this framework to reclassify published variants and to describe their geographic distribution, both of which have practical implications for the molecular genetic diagnosis of GA-1. The freely available <i>GCDH</i>-specific LOVD dataset provides a basis for diagnostic laboratories and researchers to further optimize their knowledge and molecular diagnosis of this rare disease.
first_indexed 2024-03-08T20:43:27Z
format Article
id doaj.art-0f98d8da7622496084cc99137b863b42
institution Directory Open Access Journal
issn 2073-4425
language English
last_indexed 2024-03-08T20:43:27Z
publishDate 2023-12-01
publisher MDPI AG
record_format Article
series Genes
spelling doaj.art-0f98d8da7622496084cc99137b863b422023-12-22T14:11:22ZengMDPI AGGenes2073-44252023-12-011412221810.3390/genes14122218Compilation of Genotype and Phenotype Data in <i>GCDH</i>-LOVD for Variant Classification and Further ApplicationAlexandra Tibelius0Christina Evers1Sabrina Oeser2Isabelle Rinke3Anna Jauch4Katrin Hinderhofer5Institute of Human Genetics, Heidelberg University, 69120 Heidelberg, GermanyInstitute of Human Genetics, Heidelberg University, 69120 Heidelberg, GermanyInstitute of Human Genetics, Heidelberg University, 69120 Heidelberg, GermanyInstitute of Human Genetics, Heidelberg University, 69120 Heidelberg, GermanyInstitute of Human Genetics, Heidelberg University, 69120 Heidelberg, GermanyInstitute of Human Genetics, Heidelberg University, 69120 Heidelberg, GermanyGlutaric aciduria type 1 (GA-1) is a rare but treatable autosomal-recessive neurometabolic disorder of lysin metabolism caused by biallelic pathogenic variants in glutaryl-CoA dehydrogenase gene (<i>GCDH</i>) that lead to deficiency of GCDH protein. Without treatment, this enzyme defect causes a neurological phenotype characterized by movement disorder and cognitive impairment. Based on a comprehensive literature search, we established a large dataset of <i>GCDH</i> variants using the Leiden Open Variation Database (LOVD) to summarize the known genotypes and the clinical and biochemical phenotypes associated with GA-1. With these data, we developed a <i>GCDH</i>-specific variation classification framework based on American College of Medical Genetics and Genomics and the Association for Molecular Pathology guidelines. We used this framework to reclassify published variants and to describe their geographic distribution, both of which have practical implications for the molecular genetic diagnosis of GA-1. The freely available <i>GCDH</i>-specific LOVD dataset provides a basis for diagnostic laboratories and researchers to further optimize their knowledge and molecular diagnosis of this rare disease.https://www.mdpi.com/2073-4425/14/12/2218glutaric aciduriaglutaric acidemiaglutaryl-CoA dehydrogenase<i>GCDH</i>inborn errors of metabolismvariant interpretation
spellingShingle Alexandra Tibelius
Christina Evers
Sabrina Oeser
Isabelle Rinke
Anna Jauch
Katrin Hinderhofer
Compilation of Genotype and Phenotype Data in <i>GCDH</i>-LOVD for Variant Classification and Further Application
Genes
glutaric aciduria
glutaric acidemia
glutaryl-CoA dehydrogenase
<i>GCDH</i>
inborn errors of metabolism
variant interpretation
title Compilation of Genotype and Phenotype Data in <i>GCDH</i>-LOVD for Variant Classification and Further Application
title_full Compilation of Genotype and Phenotype Data in <i>GCDH</i>-LOVD for Variant Classification and Further Application
title_fullStr Compilation of Genotype and Phenotype Data in <i>GCDH</i>-LOVD for Variant Classification and Further Application
title_full_unstemmed Compilation of Genotype and Phenotype Data in <i>GCDH</i>-LOVD for Variant Classification and Further Application
title_short Compilation of Genotype and Phenotype Data in <i>GCDH</i>-LOVD for Variant Classification and Further Application
title_sort compilation of genotype and phenotype data in i gcdh i lovd for variant classification and further application
topic glutaric aciduria
glutaric acidemia
glutaryl-CoA dehydrogenase
<i>GCDH</i>
inborn errors of metabolism
variant interpretation
url https://www.mdpi.com/2073-4425/14/12/2218
work_keys_str_mv AT alexandratibelius compilationofgenotypeandphenotypedatainigcdhilovdforvariantclassificationandfurtherapplication
AT christinaevers compilationofgenotypeandphenotypedatainigcdhilovdforvariantclassificationandfurtherapplication
AT sabrinaoeser compilationofgenotypeandphenotypedatainigcdhilovdforvariantclassificationandfurtherapplication
AT isabellerinke compilationofgenotypeandphenotypedatainigcdhilovdforvariantclassificationandfurtherapplication
AT annajauch compilationofgenotypeandphenotypedatainigcdhilovdforvariantclassificationandfurtherapplication
AT katrinhinderhofer compilationofgenotypeandphenotypedatainigcdhilovdforvariantclassificationandfurtherapplication