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Genomic Characterization by Whole-Exome Sequencing of Hypermobility Spectrum Disorder
No genetic basis is currently established that differentiates hypermobility spectrum disorders (HSD) from hypermobile Ehlers–Danlos syndrome (hEDS). Diagnosis is entirely based on clinical parameters with high overlap, leading to frequent misdiagnosis of these two phenotypes. This study presents a l...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319525/ https://www.ncbi.nlm.nih.gov/pubmed/35886052 http://dx.doi.org/10.3390/genes13071269 |
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author | Alanis-Funes, Gerardo J. Lira-Albarrán, Saúl Hernández-Pérez, Jesús Garza-Elizondo, Mario A. Ortíz-López, Rocío Elizondo, César V. Rojas-Martinez, Augusto Chávez-Santoscoy, Rocío A. Rangel-Escareño, Claudia |
author_facet | Alanis-Funes, Gerardo J. Lira-Albarrán, Saúl Hernández-Pérez, Jesús Garza-Elizondo, Mario A. Ortíz-López, Rocío Elizondo, César V. Rojas-Martinez, Augusto Chávez-Santoscoy, Rocío A. Rangel-Escareño, Claudia |
author_sort | Alanis-Funes, Gerardo J. |
collection | PubMed |
description | No genetic basis is currently established that differentiates hypermobility spectrum disorders (HSD) from hypermobile Ehlers–Danlos syndrome (hEDS). Diagnosis is entirely based on clinical parameters with high overlap, leading to frequent misdiagnosis of these two phenotypes. This study presents a landscape of DNA mutations through whole-exome sequencing of patients clinically diagnosed with generalized HSD. In this study, three genes (MUC3A, RHBG, and ZNF717) were mutated in all five patients evaluated. The functional enrichment analysis on all 1162 mutated genes identified the extracellular matrix (ECM) structural constituent as the primary overrepresented molecular function. Ingenuity pathway analysis identified relevant bio-functions, such as the organization of ECM and hereditary connective tissue disorders. A comparison with the matrisome revealed 55 genes and highlighted MUC16 and FREM2. We also contrasted the list of mutated genes with those from a transcriptomic analysis on data from Gene Expression Omnibus, with only 0.5% of the genes at the intersection of both approaches supporting the hypothesis of two different diseases that inevitably share a common genetic background but are not the same. Potential biomarkers for HSD include the five genes presented. We conclude the study by describing five potential biomarkers and by highlighting the importance of genetic/genomic approaches that, combined with clinical data, may result in an accurate diagnosis and better treatment. |
format | Online Article Text |
id | pubmed-9319525 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93195252022-07-27 Genomic Characterization by Whole-Exome Sequencing of Hypermobility Spectrum Disorder Alanis-Funes, Gerardo J. Lira-Albarrán, Saúl Hernández-Pérez, Jesús Garza-Elizondo, Mario A. Ortíz-López, Rocío Elizondo, César V. Rojas-Martinez, Augusto Chávez-Santoscoy, Rocío A. Rangel-Escareño, Claudia Genes (Basel) Article No genetic basis is currently established that differentiates hypermobility spectrum disorders (HSD) from hypermobile Ehlers–Danlos syndrome (hEDS). Diagnosis is entirely based on clinical parameters with high overlap, leading to frequent misdiagnosis of these two phenotypes. This study presents a landscape of DNA mutations through whole-exome sequencing of patients clinically diagnosed with generalized HSD. In this study, three genes (MUC3A, RHBG, and ZNF717) were mutated in all five patients evaluated. The functional enrichment analysis on all 1162 mutated genes identified the extracellular matrix (ECM) structural constituent as the primary overrepresented molecular function. Ingenuity pathway analysis identified relevant bio-functions, such as the organization of ECM and hereditary connective tissue disorders. A comparison with the matrisome revealed 55 genes and highlighted MUC16 and FREM2. We also contrasted the list of mutated genes with those from a transcriptomic analysis on data from Gene Expression Omnibus, with only 0.5% of the genes at the intersection of both approaches supporting the hypothesis of two different diseases that inevitably share a common genetic background but are not the same. Potential biomarkers for HSD include the five genes presented. We conclude the study by describing five potential biomarkers and by highlighting the importance of genetic/genomic approaches that, combined with clinical data, may result in an accurate diagnosis and better treatment. MDPI 2022-07-18 /pmc/articles/PMC9319525/ /pubmed/35886052 http://dx.doi.org/10.3390/genes13071269 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Alanis-Funes, Gerardo J. Lira-Albarrán, Saúl Hernández-Pérez, Jesús Garza-Elizondo, Mario A. Ortíz-López, Rocío Elizondo, César V. Rojas-Martinez, Augusto Chávez-Santoscoy, Rocío A. Rangel-Escareño, Claudia Genomic Characterization by Whole-Exome Sequencing of Hypermobility Spectrum Disorder |
title | Genomic Characterization by Whole-Exome Sequencing of Hypermobility Spectrum Disorder |
title_full | Genomic Characterization by Whole-Exome Sequencing of Hypermobility Spectrum Disorder |
title_fullStr | Genomic Characterization by Whole-Exome Sequencing of Hypermobility Spectrum Disorder |
title_full_unstemmed | Genomic Characterization by Whole-Exome Sequencing of Hypermobility Spectrum Disorder |
title_short | Genomic Characterization by Whole-Exome Sequencing of Hypermobility Spectrum Disorder |
title_sort | genomic characterization by whole-exome sequencing of hypermobility spectrum disorder |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9319525/ https://www.ncbi.nlm.nih.gov/pubmed/35886052 http://dx.doi.org/10.3390/genes13071269 |
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