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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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.
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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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