Exome-Based Identification of Candidate Genes in Sporadic Adenomyosis Cases

<b>Background</b>: 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. <b>Methods</b>: 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 <i>in silico</i> prediction tools. Variant selection adhered to stringent quality metrics to identify candidate variants associated with adenomyosis. <b>Results</b>: 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 <i>EFHB</i> and p.(Phe14Val) in <i>MEIS1</i> were the most frequently shared genetic variants in the cohort. <b>Conclusions</b>: Our findings suggest novel candidate genes for adenomyosis that warrant validation and functional investigation in larger, independent cohorts.

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Publication Details

Journal
Diagnostics
Published
2025-12-02
DOI
https://doi.org/10.3390/diagnostics15233069
Primary Topic
Endometriosis Research and Treatment
Type
article
Field-Weighted Citation Impact
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article

Exome-Based Identification of Candidate Genes in Sporadic Adenomyosis Cases

İpek Yıldız Özaydın, Nimet Eser, Feyza Nur Tuncer, Engin Oral et al.
Diagnostics
Endometriosis Research and Treatment
article

Exome-Based Identification of Candidate Genes in Sporadic Adenomyosis Cases

İpek Yıldız Özaydın, Nimet Eser, Feyza Nur Tuncer, Engin Oral, Nura Fitnat Topbaş Selçuki, Sevcan Aydın
article en

Abstract

<b>Background</b>: 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. <b>Methods</b>: 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 <i>in silico</i> prediction tools. Variant selection adhered to stringent quality metrics to identify candidate variants associated with adenomyosis. <b>Results</b>: 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 <i>EFHB</i> and p.(Phe14Val) in <i>MEIS1</i> were the most frequently shared genetic variants in the cohort. <b>Conclusions</b>: Our findings suggest novel candidate genes for adenomyosis that warrant validation and functional investigation in larger, independent cohorts.

DiagnosticsVol. 15(23)
University Hospital of Umeå (SE), HUN-REN Institute of Experimental Medicine (HU), Sağlık Bilimleri Üniversitesi (TR), Şişli Etfal Eğitim ve Araştırma Hastanesi (TR), İstanbul Kanuni Sultan Süleyman Eğitim ve Araştırma Hastanesi (TR), Istanbul University (TR), University of Health Sciences Antigua (AG), Umeå University (SE)
Openalex Percentile: Top 52%
Endometriosis Research and Treatment
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