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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

Santin, Aurora
•
Spedicati, Beatrice
•
Morgan, Anna
altro
Girotto, Giorgia
2023
  • journal article

Periodico
BIOMEDICINES
Abstract
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.
DOI
10.3390/biomedicines11082122
WOS
WOS:001056236600001
Archivio
https://hdl.handle.net/11368/3054278
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85168870311
https://www.mdpi.com/2227-9059/11/8/2122
Diritti
open access
license:creative commons
license:digital rights management non definito
license:digital rights management non definito
license:digital rights management non definito
license uri:http://creativecommons.org/licenses/by/4.0/
license uri:iris.pri00
license uri:iris.pri00
license uri:iris.pri00
FVG url
https://arts.units.it/bitstream/11368/3054278/1/Puzzling_Out_the_Genetic_Architecture_of_Endometriosis_Whole-Exome_Sequencing_and_Novel_Candidate_Gene_Identification_in_a_Deeply_Clinically_Characterised_Cohort.pdf
Soggetti
  • endometriosi

  • whole-exome sequencin...

  • rare variant

  • candidate gene

  • deep clinical evaluat...

  • genotype–phenotype co...

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