Year: 2025
Type: article
Study design: Observational Study
Abstract: Introduction While variants in hundreds of genes have been linked to premature ovarian insufficiency (POI), monogenic disorders account for fewer than half of idiopathic POI cases in adolescents with 46,XX karyotype. This highlights the need for the further genetic investigation across diverse populations. Patients and methods We recruited 63 Russian patients diagnosed with 46,XX POI before age 18. All underwent FMR1 premutation testing and whole-exome sequencing (WES). Copy number variation (CNV) analysis was conducted on WES data. Segregation studies by Sanger sequencing were performed where samples from the patients’ relatives were available. Results We identified variants in 15 genes in 38% of the cohort, including 13 causative genes ( FMR1 , DCAF17, FOXL2, STAG3, TP63, BNC1, CPEB1, NOBOX, LMNA, FSHR, SPIDR, MCM8, EIF2B2 ) and 2 candidate genes ( MYRF, LATS1 ). 3.2% of patients carried an FMR1 premutation. WES detected causative single nucleotide variants (SNVs) in 15 patients (17.5% of the cohort). CNV analysis increased the diagnostic yield to 20.6%, identifying 15q25.2 microdeletions ( BNC1 , CPEB1 ) in two patients and FSHR exon 2 deletion in one patient with resistant ovary syndrome. Overall, the combination of molecular genetic approaches established a diagnosis of monogenic POI (pathogenic or likely pathogenic variants) in 23.8% of adolescents with normal female karyotype. 5 patients (7.9%) carried variants of unknown significance in FSHR , LMNA , NOBOX , SPIDR, LATS1 genes, warranting further investigation. Discussion Our findings demonstrate that WES is an effective diagnostic tool for adolescents with POI and should supplement standard karyotyping and FMR1 testing in routine clinical practice. We report several novel variants in POI-associated genes and propose new gene-disease association.
Source: Frontiers in Endocrinology
Authors: Polina Tsabai, Zaira Kumykova, Victoria Averkova, Nadezhda Pavlova, Dmitry Maslennikov, Anna Bolshakova, Zalina Batyrova, Tamara Kolpakova, Andrey Bystritskiy, Natalia Karetnikova, Alexey Ekimov, Andrey Goltsov, Maria Kuznetsova, Anna Turchinets, Irina Mukosey, Taisiya Kochetkova, Igor Sadelov, Jekaterina Shubina, Elena Uvarova, Svetlana Yureneva, Dmitry Trofimov, Gennady Sukhikh
Language: English
Subfield: Reproductive Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,801
Funder: Russian Science Foundation
OpenAlex ID: W4416772255
