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Whole-genome sequencing identifies new candidate genes for nonobstructive azoospermia.
Malcher, Agnieszka; Stokowy, Tomasz; Berman, Andrea; Olszewska, Marta; Jedrzejczak, Piotr; Sielski, Dawid; Nowakowski, Adam; Rozwadowska, Natalia; Yatsenko, Alexander N; Kurpisz, Maciej K.
Afiliação
  • Malcher A; Institute of Human Genetics, Polish Academy of Sciences, Poznan, Poland.
  • Stokowy T; Scientific Computing Group, IT Division, University of Bergen, Norway.
  • Berman A; Department of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
  • Olszewska M; Institute of Human Genetics, Polish Academy of Sciences, Poznan, Poland.
  • Jedrzejczak P; Division of Infertility and Reproductive Endocrinology, Department of Gynecology, Obstetrics and Gynecological Oncology, Poznan University of Medical Sciences, Poznan, Poland.
  • Sielski D; MNM Diagnostics, Poznan, Poland.
  • Nowakowski A; Department of Urology and Urologic Oncology in St. Families Hospital, Poznan, Poland.
  • Rozwadowska N; Institute of Human Genetics, Polish Academy of Sciences, Poznan, Poland.
  • Yatsenko AN; Department of OB/GYN and Reproductive Sciences, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
  • Kurpisz MK; Institute of Human Genetics, Polish Academy of Sciences, Poznan, Poland.
Andrology ; 10(8): 1605-1624, 2022 11.
Article em En | MEDLINE | ID: mdl-36017582
ABSTRACT

BACKGROUND:

Genetic causes that lead to spermatogenetic failure in patients with nonobstructive azoospermia (NOA) have not been yet completely established.

OBJECTIVE:

To identify low-frequency NOA-associated single nucleotide variants (SNVs) using whole-genome sequencing (WGS). MATERIALS AND

METHODS:

Men with various types of NOA (n = 39), including samples that had been previously tested with whole-exome sequencing (WES; n = 6) and did not result in diagnostic conclusions. Variants were annotated using the Ensembl Variant Effect Predictor, utilizing frequencies from GnomAD and other databases to provide clinically relevant information (ClinVar), conservation scores (phyloP), and effect predictions (i.e., MutationTaster). Structural protein modeling was also performed.

RESULTS:

Using WGS, we revealed potential NOA-associated SNVs, such as TKTL1, IGSF1, ZFPM2, VCX3A (novel disease causing variants), ESX1, TEX13A, TEX14, DNAH1, FANCM, QRICH2, FSIP2, USP9Y, PMFBP1, MEI1, PIWIL1, WDR66, ZFX, KCND1, KIAA1210, DHRSX, ZMYM3, FAM47C, FANCB, FAM50B (genes previously known to be associated with infertility) and ALG13, BEND2, BRWD3, DDX53, TAF4, FAM47B, FAM9B, FAM9C, MAGEB6, MAP3K15, RBMXL3, SSX3 and FMR1NB genes, which may be involved in spermatogenesis. DISCUSSION AND

CONCLUSION:

In this study, we identified novel potential candidate NOA-associated genes in 29 individuals out of 39 azoospermic males. Note that in 5 out of 6 patients subjected previously to WES analysis, which did not disclose potentially causative variants, the WGS analysis was successful with NOA-associated gene findings.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Azoospermia Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Azoospermia Idioma: En Ano de publicação: 2022 Tipo de documento: Article