Innovative all-in-one exome sequencing strategy for diagnostic genetic testing in male infertility: Validation and 10-month experience.

asthenozoospermia azoospermia diagnostics gene panel genetic testing genetics male infertility oligozoospermia teratozoospermia

Journal

Andrology
ISSN: 2047-2927
Titre abrégé: Andrology
Pays: England
ID NLM: 101585129

Informations de publication

Date de publication:
24 Aug 2024
Historique:
revised: 16 07 2024
received: 12 04 2024
accepted: 10 08 2024
medline: 24 8 2024
pubmed: 24 8 2024
entrez: 24 8 2024
Statut: aheadofprint

Résumé

Current guidelines indicate that patients with extreme oligozoospermia or azoospermia should be tested for chromosomal imbalances, azoospermia factor (AZF) deletions and/or CFTR variants. For other sperm abnormalities, no genetic diagnostics are recommended. To determine whether exome sequencing (ES) with combined copy number variant (CNV) and single nucleotide variant (SNV) analysis is a reliable first-tier method to replace current methods (validation study), and to evaluate the diagnostic yield after 10 months of implementation (evaluation study). In the validation study, ES was performed on DNA of patients already diagnosed with AZF deletions (n = 17), (non-)mosaic sex chromosomal aneuploidies or structural chromosomal anomalies (n = 37), CFTR variants (n = 26), or variants in known infertility genes (n = 4), and 90 controls. The data were analyzed using our standard diagnostic pipeline, with a bioinformatic filter for 130 male infertility genes. In the evaluation study, results of 292 clinical exomes were included. All previously reported variants in the validation cohort, including clinically relevant Y-chromosomal microdeletions, were correctly identified and reliably detected. In the evaluation study, we identified one or more clinically relevant genetic anomalies in 67 of 292 of all cases (22.9%): these included aberrations that could have been detected with current methods in 30 of 67 patients (10.2% of total), (possible) (mono)genetic causes in the male infertility gene panel in 28 of 67 patients (9.6%), and carriership of cystic fibrosis in nine of 67 patients (3.1%). ES is a reliable first-tier method to detect the most common genetic causes of male infertility and, as additional genetic causes can be detected, in our evaluation cohort the diagnostic yield almost doubled (10.2%-19.8%, excluding CF carriers). A genetic diagnosis provides answers on the cause of infertility and helps the professionals in the counseling for treatment, possible co-morbidities and risk for offspring and/or family members. Karyotyping will still remain necessary for detecting balanced translocations or low-grade chromosomal mosaicism.

Sections du résumé

BACKGROUND BACKGROUND
Current guidelines indicate that patients with extreme oligozoospermia or azoospermia should be tested for chromosomal imbalances, azoospermia factor (AZF) deletions and/or CFTR variants. For other sperm abnormalities, no genetic diagnostics are recommended.
OBJECTIVES OBJECTIVE
To determine whether exome sequencing (ES) with combined copy number variant (CNV) and single nucleotide variant (SNV) analysis is a reliable first-tier method to replace current methods (validation study), and to evaluate the diagnostic yield after 10 months of implementation (evaluation study).
MATERIALS AND METHODS METHODS
In the validation study, ES was performed on DNA of patients already diagnosed with AZF deletions (n = 17), (non-)mosaic sex chromosomal aneuploidies or structural chromosomal anomalies (n = 37), CFTR variants (n = 26), or variants in known infertility genes (n = 4), and 90 controls. The data were analyzed using our standard diagnostic pipeline, with a bioinformatic filter for 130 male infertility genes. In the evaluation study, results of 292 clinical exomes were included.
RESULTS RESULTS
All previously reported variants in the validation cohort, including clinically relevant Y-chromosomal microdeletions, were correctly identified and reliably detected. In the evaluation study, we identified one or more clinically relevant genetic anomalies in 67 of 292 of all cases (22.9%): these included aberrations that could have been detected with current methods in 30 of 67 patients (10.2% of total), (possible) (mono)genetic causes in the male infertility gene panel in 28 of 67 patients (9.6%), and carriership of cystic fibrosis in nine of 67 patients (3.1%).
CONCLUSION CONCLUSIONS
ES is a reliable first-tier method to detect the most common genetic causes of male infertility and, as additional genetic causes can be detected, in our evaluation cohort the diagnostic yield almost doubled (10.2%-19.8%, excluding CF carriers). A genetic diagnosis provides answers on the cause of infertility and helps the professionals in the counseling for treatment, possible co-morbidities and risk for offspring and/or family members. Karyotyping will still remain necessary for detecting balanced translocations or low-grade chromosomal mosaicism.

Identifiants

pubmed: 39180390
doi: 10.1111/andr.13742
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024 The Author(s). Andrology published by John Wiley & Sons Ltd on behalf of American Society of Andrology and European Academy of Andrology.

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Auteurs

Manon S Oud (MS)

Department of Human Genetics, Radboud university medical center, Nijmegen, The Netherlands.

Nicole de Leeuw (N)

Department of Human Genetics, Radboud university medical center, Nijmegen, The Netherlands.

Dominique F C M Smeets (DFCM)

Department of Human Genetics, Radboud university medical center, Nijmegen, The Netherlands.

Liliana Ramos (L)

Department of Obstetrics and Gynaecology, Radboud university medical center, Nijmegen, The Netherlands.

Godfried W van der Heijden (GW)

Department of Obstetrics and Gynaecology, Radboud university medical center, Nijmegen, The Netherlands.

Raoul G J Timmermans (RGJ)

Department of Human Genetics, Radboud university medical center, Nijmegen, The Netherlands.

Maartje van de Vorst (M)

Department of Human Genetics, Radboud university medical center, Nijmegen, The Netherlands.

Tom Hofste (T)

Department of Human Genetics, Radboud university medical center, Nijmegen, The Netherlands.

Marlies J E Kempers (MJE)

Department of Human Genetics, Radboud university medical center, Nijmegen, The Netherlands.

Marijn F Stokman (MF)

Department of Human Genetics, Radboud university medical center, Nijmegen, The Netherlands.

Kathleen W M D'Hauwers (KWM)

Department of Urology, Radboud university medical center, Nijmegen, The Netherlands.

Brigitte H W Faas (BHW)

Department of Human Genetics, Radboud university medical center, Nijmegen, The Netherlands.

Dineke Westra (D)

Department of Human Genetics, Radboud university medical center, Nijmegen, The Netherlands.

Classifications MeSH