Evidence map›Paper›PMID 36041235›Full record

ArticleAndrology2022

Analysis of copy number variation in men with non-obstructive azoospermia.

M J Wyrwoll, R Wabschke, A Röpke, M Wöste, C Ruckert, S Perrey, N Rotte, J Hardy, L Astica, D G Lupiáñez and 9 more

Open access · bronzeAbstract read
In one paragraph

Article in Andrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors at 6 institutions in 4 countries.

M J WyrwollInstitute of Reproductive Genetics, University of Münster, Münster, Germany.ORCID 0000-0002-7651-2403
R WabschkeInstitute of Reproductive Genetics, University of Münster, Münster, Germany.
A RöpkeInstitute of Human Genetics, University of Münster, Münster, Germany.
M WösteInstitute of Medical Informatics, University of Münster, Münster, Germany.
C RuckertInstitute of Human Genetics, University of Münster, Münster, Germany.
S PerreyInstitute for Bioinformatics and Chemoinformatics, Westphalian University of Applied Sciences, Recklinghausen, Germany.
N RotteInstitute of Reproductive Genetics, University of Münster, Münster, Germany.ORCID 0000-0003-0075-8842
J HardyDepartment of Obstetrics, Gynecology and Reproductive Sciences, Magee-Women Research Institute, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
L AsticaEpigenetics and Sex Development Group, Berlin Institute for Medical Systems Biology, Max-Delbrück Center for Molecular Medicine, Berlin, Germany.
D G LupiáñezEpigenetics and Sex Development Group, Berlin Institute for Medical Systems Biology, Max-Delbrück Center for Molecular Medicine, Berlin, Germany.
J WistubaCentre of Reproductive Medicine and Andrology, University Hospital Münster, Münster, Germany.
B WesternströerCentre of Reproductive Medicine and Andrology, University Hospital Münster, Münster, Germany.
S SchlattCentre of Reproductive Medicine and Andrology, University Hospital Münster, Münster, Germany.ORCID 0000-0002-7571-5313
A J BermanDepartment of Biological Sciences, University of Pittsburgh, Pittsburgh, PA, USA.
A M MüllerPractice for Pathology and Centre for Pediatric Pathology, University Hospital of Cologne, Cologne, Germany.
S KlieschCentre of Reproductive Medicine and Andrology, University Hospital Münster, Münster, Germany.ORCID 0000-0002-7561-4870
A N YatsenkoDepartment of Obstetrics, Gynecology and Reproductive Sciences, Magee-Women Research Institute, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-1690-0172
F TüttelmannInstitute of Reproductive Genetics, University of Münster, Münster, Germany.ORCID 0000-0003-2745-9965
C FriedrichInstitute of Reproductive Genetics, University of Münster, Münster, Germany.ORCID 0000-0001-8848-3366
University of Münster · DEUniversity Hospital Münster · DEUniversity of Pittsburgh · USMax Delbrück Center · DEInstitute of Bioinformatics · INUniversity Hospital Cologne · DE

Funding

Project IIIP50HD096723 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Kyle Edwin Orwig · 2019 to 2026
$15.0M
Genomic signatures of X-linked and autosomal candidate-genes in azoospermiaR21HD080755 · NICHD · MAGEE-WOMEN'S RES INST AND FOUNDATION · PI YATSENKO, ALEXANDER N · 2015 to 2016
$448k
NICHD NIH HHS P50 HD096723NICHD NIH HHS R21 HD080755
6 · The paper itself

Abstract

backgroundRecent findings demonstrate that single nucleotide variants can cause non-obstructive azoospermia (NOA). In contrast, copy number variants (CNVs) were only analysed in few studies in infertile men. Some have reported a higher prevalence of CNVs in infertile versus fertile men.

objectivesThis study aimed to elucidate if CNVs are associated with NOA. MATERIALS AND

methodsWe performed array-based comparative genomic hybridisation (aCGH) in 37 men with meiotic arrest, 194 men with Sertoli cell-only phenotype, and 21 control men. We filtered our data for deletions affecting genes and prioritised the affected genes according to the literature search. Prevalence of CNVs was compared between all groups. Exome data of 2,030 men were screened to detect further genetic variants in prioritised genes. Modelling was performed for the protein encoded by the novel candidate gene TEKT5 and we stained for TEKT5 in human testicular tissue.

resultsWe determined the cause of infertility in two individuals with homozygous deletions of SYCE1 and in one individual with a heterozygous deletion of SYCE1 combined with a likely pathogenic missense variant on the second allele. We detected heterozygous deletions affecting MLH3, EIF2B2, SLX4, CLPP and TEKT5, in one subject each. CNVs were not detected more frequently in infertile men compared with controls. DISCUSSION: While SYCE1 and MLH3 encode known meiosis-specific proteins, much less is known about the proteins encoded by the other identified candidate genes, warranting further analyses. We were able to identify the cause of infertility in one out of the 231 infertile men by aCGH and in two men by using exome sequencing data.

conclusionAs aCGH and exome sequencing are both expensive methods, combining both in a clinical routine is not an effective strategy. Instead, using CNV calling from exome data has recently become more precise, potentially making aCGH dispensable.

Indexed as

AzoospermiaDNA Copy Number VariationsHomozygoteHumansMaleNucleotidesNucleotidesCNVmeiotic arrestnon-obstructive azoospermiaSCOSYCE1WES

Identifiers

PMID36041235
PMCPMC9605881
OpenAlexW4293698208

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.