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Puzzling Out the Genetic Architecture of Endometriosis: Whole-Exome Sequencing and Novel Candidate Gene Identification in a Deeply Clinically Characterised Cohort
Endometriosis (EM) is a common multifactorial gynaecological disorder. Although Genome-Wide Association Studies have largely been employed, the current knowledge of the genetic mechanisms underlying EM is far from complete, and other approaches are needed. To this purpose, whole-exome sequencing (WE...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10452899/ https://www.ncbi.nlm.nih.gov/pubmed/37626618 http://dx.doi.org/10.3390/biomedicines11082122 |
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author | Santin, Aurora Spedicati, Beatrice Morgan, Anna Lenarduzzi, Stefania Tesolin, Paola Nardone, Giuseppe Giovanni Mazzà, Daniela Di Lorenzo, Giovanni Romano, Federico Buonomo, Francesca Mangogna, Alessandro Concas, Maria Pina Zito, Gabriella Ricci, Giuseppe Girotto, Giorgia |
author_facet | Santin, Aurora Spedicati, Beatrice Morgan, Anna Lenarduzzi, Stefania Tesolin, Paola Nardone, Giuseppe Giovanni Mazzà, Daniela Di Lorenzo, Giovanni Romano, Federico Buonomo, Francesca Mangogna, Alessandro Concas, Maria Pina Zito, Gabriella Ricci, Giuseppe Girotto, Giorgia |
author_sort | Santin, Aurora |
collection | PubMed |
description | Endometriosis (EM) is a common multifactorial gynaecological disorder. Although Genome-Wide Association Studies have largely been employed, the current knowledge of the genetic mechanisms underlying EM is far from complete, and other approaches are needed. To this purpose, whole-exome sequencing (WES) was performed on a deeply characterised cohort of 80 EM patients aimed at the identification of rare and damaging variants within 46 EM-associated genes and novel candidates. WES analysis detected 63 rare, predicted, and damaging heterozygous variants within 24 genes in 63% of the EM patients. In particular, (1) a total of 43% of patients carried variants within 13 recurrent genes (FCRL3, LAMA5, SYNE1, SYNE2, GREB1, MAP3K4, C3, MMP3, MMP9, TYK2, VEGFA, VEZT, RHOJ); (2) a total of 8.8% carried private variants within eight genes (KAZN, IL18, WT1, CYP19A1, IL1A, IL2RB, LILRB2, ZNF366); (3) a total of 24% carried variants within three novel candidates (ABCA13, NEB, CSMD1). Finally, to deepen the polygenic architecture of EM, a comprehensive evaluation of the analysed genes was performed, revealing a higher burden (p < 0.05) of genes harbouring rare and damaging variants in the EM patients than in the controls. These results highlight new insights into EM genetics, allowing for the definition of novel genotype–phenotype correlations, thereby contributing, in a long-term perspective, to the development of personalised care for EM patients. |
format | Online Article Text |
id | pubmed-10452899 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104528992023-08-26 Puzzling Out the Genetic Architecture of Endometriosis: Whole-Exome Sequencing and Novel Candidate Gene Identification in a Deeply Clinically Characterised Cohort Santin, Aurora Spedicati, Beatrice Morgan, Anna Lenarduzzi, Stefania Tesolin, Paola Nardone, Giuseppe Giovanni Mazzà, Daniela Di Lorenzo, Giovanni Romano, Federico Buonomo, Francesca Mangogna, Alessandro Concas, Maria Pina Zito, Gabriella Ricci, Giuseppe Girotto, Giorgia Biomedicines Article Endometriosis (EM) is a common multifactorial gynaecological disorder. Although Genome-Wide Association Studies have largely been employed, the current knowledge of the genetic mechanisms underlying EM is far from complete, and other approaches are needed. To this purpose, whole-exome sequencing (WES) was performed on a deeply characterised cohort of 80 EM patients aimed at the identification of rare and damaging variants within 46 EM-associated genes and novel candidates. WES analysis detected 63 rare, predicted, and damaging heterozygous variants within 24 genes in 63% of the EM patients. In particular, (1) a total of 43% of patients carried variants within 13 recurrent genes (FCRL3, LAMA5, SYNE1, SYNE2, GREB1, MAP3K4, C3, MMP3, MMP9, TYK2, VEGFA, VEZT, RHOJ); (2) a total of 8.8% carried private variants within eight genes (KAZN, IL18, WT1, CYP19A1, IL1A, IL2RB, LILRB2, ZNF366); (3) a total of 24% carried variants within three novel candidates (ABCA13, NEB, CSMD1). Finally, to deepen the polygenic architecture of EM, a comprehensive evaluation of the analysed genes was performed, revealing a higher burden (p < 0.05) of genes harbouring rare and damaging variants in the EM patients than in the controls. These results highlight new insights into EM genetics, allowing for the definition of novel genotype–phenotype correlations, thereby contributing, in a long-term perspective, to the development of personalised care for EM patients. MDPI 2023-07-27 /pmc/articles/PMC10452899/ /pubmed/37626618 http://dx.doi.org/10.3390/biomedicines11082122 Text en © 2023 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 Santin, Aurora Spedicati, Beatrice Morgan, Anna Lenarduzzi, Stefania Tesolin, Paola Nardone, Giuseppe Giovanni Mazzà, Daniela Di Lorenzo, Giovanni Romano, Federico Buonomo, Francesca Mangogna, Alessandro Concas, Maria Pina Zito, Gabriella Ricci, Giuseppe Girotto, Giorgia Puzzling Out the Genetic Architecture of Endometriosis: Whole-Exome Sequencing and Novel Candidate Gene Identification in a Deeply Clinically Characterised Cohort |
title | Puzzling Out the Genetic Architecture of Endometriosis: Whole-Exome Sequencing and Novel Candidate Gene Identification in a Deeply Clinically Characterised Cohort |
title_full | Puzzling Out the Genetic Architecture of Endometriosis: Whole-Exome Sequencing and Novel Candidate Gene Identification in a Deeply Clinically Characterised Cohort |
title_fullStr | Puzzling Out the Genetic Architecture of Endometriosis: Whole-Exome Sequencing and Novel Candidate Gene Identification in a Deeply Clinically Characterised Cohort |
title_full_unstemmed | Puzzling Out the Genetic Architecture of Endometriosis: Whole-Exome Sequencing and Novel Candidate Gene Identification in a Deeply Clinically Characterised Cohort |
title_short | Puzzling Out the Genetic Architecture of Endometriosis: Whole-Exome Sequencing and Novel Candidate Gene Identification in a Deeply Clinically Characterised Cohort |
title_sort | puzzling out the genetic architecture of endometriosis: whole-exome sequencing and novel candidate gene identification in a deeply clinically characterised cohort |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10452899/ https://www.ncbi.nlm.nih.gov/pubmed/37626618 http://dx.doi.org/10.3390/biomedicines11082122 |
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