Literature DB >> 35066699

Whole-exome sequencing reveals new potential genes and variants in patients with premature ovarian insufficiency.

Ayberk Turkyilmaz1, Ceren Alavanda2, Esra Arslan Ates3, Bilgen Bilge Geckinli2, Hamza Polat2, Mehmet Gokcu4, Taner Karakaya5, Alper Han Cebi4, Mehmet Ali Soylemez2, Ahmet İlter Guney2, Pinar Ata2, Ahmet Arman2.   

Abstract

PURPOSE: Premature ovarian insufficiency (POI) is a heterogeneous disorder characterized by the cessation of menstrual cycles before the age of 40 years due to the depletion or dysfunction of the ovarian follicles. POI is a highly heterogeneous disease in terms of etiology. The aim of this study is to reveal the genetic etiology in POI patients.
METHODS: A total of 35 patients (mean age: 27.2 years) from 28 different families diagnosed with POI were included in the study. Karyotype, FMR1 premutation analysis, single nucleotide polymorphism (SNP) array, and whole-exome sequencing (WES) were conducted to determine the genetic etiology of patients.
RESULTS: A total of 35 patients with POI were first evaluated by karyotype analysis, and chromosomal anomaly was detected in three (8.5%) and FMR1 premutation was detected in six patients (17%) from two different families. A total of 29 patients without FMR1 premutation were included in the SNP array analysis, and one patient had a 337-kb deletion in the chromosome 6q26 region including PARK2 gene, which was thought to be associated with POI. Twenty-nine cases included in SNP array analysis were evaluated simultaneously with WES analysis, and genetic variant was detected in 55.1% (16/29).
CONCLUSION: In the present study, rare novel variants were identified in genes known to be associated with POI, which contribute to the mutation spectrum. The effects of detected novel genes and variations on different pathways such as gonadal development, meiosis and DNA repair, or metabolism need to be investigated by experimental studies. Molecular etiology allows accurate genetic counseling to the patient and family as well as fertility planning.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  FIGNL1; Primary ovarian insufficiency; SNP array; Whole-exome sequencing

Mesh:

Substances:

Year:  2022        PMID: 35066699      PMCID: PMC8995228          DOI: 10.1007/s10815-022-02408-0

Source DB:  PubMed          Journal:  J Assist Reprod Genet        ISSN: 1058-0468            Impact factor:   3.357


  79 in total

1.  Genetic abnormalities in Turkish women with premature ovarian failure.

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Review 4.  Genetic Etiology of Primary Premature Ovarian Insufficiency

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7.  Identification of variants in pleiotropic genes causing "isolated" premature ovarian insufficiency: implications for medical practice.

Authors:  Elena J Tucker; Sonia R Grover; Gorjana Robevska; Jocelyn van den Bergen; Chloe Hanna; Andrew H Sinclair
Journal:  Eur J Hum Genet       Date:  2018-04-30       Impact factor: 4.246

8.  The global prevalence of primary ovarian insufficiency and early menopause: a meta-analysis.

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9.  Genetic etiologic analysis in 74 Chinese Han women with idiopathic premature ovarian insufficiency by combined molecular genetic testing.

Authors:  Jiandong Shen; Dianyun Qu; Yan Gao; Fangxi Sun; Jiazi Xie; Xueping Sun; Daowu Wang; Xiang Ma; Yugui Cui; Jiayin Liu; Feiyang Diao
Journal:  J Assist Reprod Genet       Date:  2021-02-04       Impact factor: 3.412

10.  Whole-exome sequencing in patients with premature ovarian insufficiency: early detection and early intervention.

Authors:  Hongli Liu; Xiaoli Wei; Yanwei Sha; Wensheng Liu; Haijie Gao; Jin Lin; Youzhu Li; Yaling Tang; Yifeng Wang; Yanlong Wang; Zhiying Su
Journal:  J Ovarian Res       Date:  2020-09-22       Impact factor: 4.234

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  1 in total

1.  Identification of new variants and candidate genes in women with familial premature ovarian insufficiency using whole-exome sequencing.

Authors:  R Morales; B Lledo; J A Ortiz; F M Lozano; E M Garcia; A Bernabeu; A Fuentes; R Bernabeu
Journal:  J Assist Reprod Genet       Date:  2022-10-08       Impact factor: 3.357

  1 in total

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