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DOI 10.3390/diagnostics15233069

Медицинская библиотека · Diagnostics (Basel, Switzerland) · 2025

Exome-Based Identification of Candidate Genes in Sporadic Adenomyosis Cases.

Tuncer Feyza Nur, Eser Ma Nimet, Aydin Sevcan, Topbas Selcuki Nura Fitnat, Yildiz Ozaydin Ipek, Oral Engin

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Аннотация

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.

Для цитирования: Tuncer Feyza Nur, Eser Ma Nimet, Aydin Sevcan, Topbas Selcuki Nura Fitnat, Yildiz Ozaydin Ipek, Oral Engin. Exome-Based Identification of Candidate Genes in Sporadic Adenomyosis Cases.. Diagnostics (Basel, Switzerland). 2025. DOI: 10.3390/diagnostics15233069.
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