Person: GÜNEY, AHMET İLTER
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GÜNEY
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AHMET İLTER
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Publication Metadata only Secondary findings in 622 Turkish clinical exome sequencing data(SPRINGERNATURE, 2021) ARMAN, AHMET; Ates, Esra Arslan; Turkyilmaz, Ayberk; Yildirim, Ozlem; Alavanda, Ceren; Polat, Hamza; Demir, Senol; Cebi, Alper Han; Geckinli, Bilgen Bilge; Guney, Ahmet Ilter; Ata, Pinar; Arman, AhmetCES (Clinical Exome Sequencing) is a method that we use to diagnose rare diseases with nonspesific clinical features. Besides primary indication for testing genetic information may be detected about diseases which have not yet emerged. ACMG guidelines recommend to report pathogenic variations in medically actionable 59 genes. In this study we evaluated CES data of 622 cases which were tested for various indications. According to ACMG recommendations 59 genes were screened for reportable variations. The detected variations were reviewed using distinct databases and ACMG variation classification guidelines. Among 622 cases 13 (2.1%) had reportable variations including oncogenetic, cardiogenetic disorders, and malignant hyperthermia susceptibility-related genes. In 15 cases (2.4%) heterozygous pathogenic and likely pathogenic variations were detected in genes showing autosomal recessive inheritance. Ten novel variations causing truncated protein or splicing defect were reported. We detected 11 variations having conflicting interpretations in databases and 30 novel variations, predicted as likely pathogenic via insilico analysis tools which further evaluations are needed. As to our knowledge this is the first study investigating secondary findings in Turkish population. To extract the information that may lead to prevent severe morbidities and mortalities from big data is a valuable and lifesaving effort. Results of this study will contrbute to existing knowledge about secondary findings in exome sequencing and will be a pioneer for studies in Turkish population.Publication Metadata only Whole-exome sequencing reveals new potential genes and variants in patients with premature ovarian insufficiency(SPRINGER/PLENUM PUBLISHERS, 2022) ARMAN, AHMET; Turkyilmaz, Ayberk; Alavanda, Ceren; Ates, Esra Arslan; Geckinli, Bilgen Bilge; Polat, Hamza; Gokcu, Mehmet; Karakaya, Taner; Cebi, Alper Han; Soylemez, Mehmet Ali; Guney, Ahmet Ilter; Ata, Pinar; Arman, AhmetPurpose 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.