Umeå University's logo

umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Exome-based identification of candidate genes in sporadic adenomyosis cases
Department of Genetics, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey.
Graduate School of Health Sciences, Istanbul University, Istanbul, Turkey.
Graduate School of Health Sciences, Istanbul University, Istanbul, Turkey.
Department of Obstetrics and Gynecology, Istanbul Sisli Hamidiye Etfal Training and Research Hospital, University of Health Sciences Türkiye, Istanbul, Turkey.
Show others and affiliations
2025 (English)In: Diagnostics, ISSN 2075-4418, Vol. 15, no 23, article id 3069Article in journal (Refereed) Published
Abstract [en]

Background: Adenomyosis is a benign uterine disorder defined by the invagination of ectopic endometrial-like tissue into the myometrium, causing heavy menstrual bleeding and pain. While its pathogenesis remains unclear, shared-symptomology with endometriosis suggests a common mechanism. Adenomyosis is often diagnosed after age 40 due to its complex presentation and the need for histopathological confirmation, underscoring the need for non-invasive markers.

Methods: Ten unrelated women with histopathological diagnosis of adenomyosis were recruited. All recruits completed the WERF-EPHect questionnaire and were additionally questioned about any comorbidities. Genomic DNA isolated from peripheral blood was subjected to whole exome sequencing (WES) on Illumina NovaSeq 6000 and was analyzed using the Pairend NGS Cloud platform. Variants were filtered for MAF < 1% and were prioritized based on functional relevance and impact determined by in silico prediction tools. Variant selection adhered to stringent quality metrics to identify candidate variants associated with adenomyosis.

Results: WES analysis did not reveal any variant common to the cohort. A total of eight pathogenic and two likely pathogenic novel variants were identified. Moreover, novel variants of p.(Val331Ile) in EFHB and p.(Phe14Val) in MEIS1 were the most frequently shared genetic variants in the cohort.

Conclusions: Our findings suggest novel candidate genes for adenomyosis that warrant validation and functional investigation in larger, independent cohorts.

Place, publisher, year, edition, pages
MDPI, 2025. Vol. 15, no 23, article id 3069
Keywords [en]
adenomyosis, EFHB, MEIS1, whole exome sequencing
National Category
Gynaecology, Obstetrics and Reproductive Medicine
Identifiers
URN: urn:nbn:se:umu:diva-247914DOI: 10.3390/diagnostics15233069ISI: 001636412300001PubMedID: 41374450Scopus ID: 2-s2.0-105024599538OAI: oai:DiVA.org:umu-247914DiVA, id: diva2:2025891
Available from: 2026-01-08 Created: 2026-01-08 Last updated: 2026-03-06Bibliographically approved

Open Access in DiVA

fulltext(224 kB)22 downloads
File information
File name FULLTEXT01.pdfFile size 224 kBChecksum SHA-512
bc2e9fae76e4aa230a34ef15353fd3dc7067b5c9162b33a79618d8163619dc748d8b5a09edf934468b719fced23d74486f76ff81ef298b1dd78994578ea78478
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMedScopus

Authority records

Engin, Oral

Search in DiVA

By author/editor
Engin, Oral
By organisation
Obstetrics and Gynecology
In the same journal
Diagnostics
Gynaecology, Obstetrics and Reproductive Medicine

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 632 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf