Evidence map›Paper›PMID 36017582›Full record

ArticleAndrology2022

Whole-genome sequencing identifies new candidate genes for nonobstructive azoospermia.

Agnieszka Malcher, Tomasz Stokowy, Andrea Berman, Marta Olszewska, Piotr Jedrzejczak, Dawid Sielski, Adam Nowakowski, Natalia Rozwadowska, Alexander N Yatsenko, Maciej K Kurpisz

Open access · hybridAbstract 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 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
7.2field-weighted citation impact, top 2% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

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  4. Whole-Genome Sequencing Identifies Potentially Causative Variants inInternational journal of molecular sciences · 2026
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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

10 authors at 4 institutions in 3 countries.

Agnieszka MalcherInstitute of Human Genetics, Polish Academy of Sciences, Poznan, Poland.ORCID 0000-0002-3433-6990
Tomasz StokowyScientific Computing Group, IT Division, University of Bergen, Norway.
Andrea BermanDepartment of Biological Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Marta OlszewskaInstitute of Human Genetics, Polish Academy of Sciences, Poznan, Poland.ORCID 0000-0002-2337-4545
Piotr JedrzejczakDivision of Infertility and Reproductive Endocrinology, Department of Gynecology, Obstetrics and Gynecological Oncology, Poznan University of Medical Sciences, Poznan, Poland.
Dawid SielskiMNM Diagnostics, Poznan, Poland.
Adam NowakowskiDepartment of Urology and Urologic Oncology in St. Families Hospital, Poznan, Poland.
Natalia RozwadowskaInstitute of Human Genetics, Polish Academy of Sciences, Poznan, Poland.
Alexander N YatsenkoDepartment of OB/GYN and Reproductive Sciences, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-1690-0172
Maciej K KurpiszInstitute of Human Genetics, Polish Academy of Sciences, Poznan, Poland.ORCID 0000-0003-3275-3245
Institute of Human Genetics · PLUniversity of Pittsburgh · USPoznan University of Medical Sciences · PLUniversity of Bergen · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

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

methodsMen 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.

resultsUsing 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

conclusionIn 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.

Indexed as

AzoospermiaArgonaute ProteinsCalcium-Binding ProteinsDNA HelicasesExome SequencingHumansImmunoglobulinsMaleMembrane ProteinsMutationN-AcetylglucosaminyltransferasesNuclear ProteinsNucleotidesTranscription FactorsTransketolaseALG13 protein, humanArgonaute ProteinsCalcium-Binding ProteinsDNA HelicasesFANCM protein, humanIGSF1 protein, humanImmunoglobulinsMembrane ProteinsN-AcetylglucosaminyltransferasesNuclear ProteinsNucleotidesPIWIL1 protein, humanTEX14 protein, humanTKTL1 protein, humanTranscription FactorsTransketolaseVCX3A protein, humanWDR66 protein, humanZMYM3 protein, humanbiomarkersinfertilitynonobstructive azoospermiaspermatogenesiswhole-genome sequencing

Identifiers

PMID36017582
PMCPMC9826517
OpenAlexW4293217418

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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.