Evidence map›Paper›PMID 41115892›Full record

ArticleScientific reports2025

Identifying potential genetic biomarkers for sperm dysfunction through whole-genome sequencing.

Muhammad Riaz Khan, Aftab Ali Shah, Mohammad A Al Smadi, Nicole Ludwig, Ulrike Fischer, Hashim Abdul-Khaliq, Eckart Meese, Masood Abu-Halima

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

8 authors.

Muhammad Riaz KhanDepartment of Biotechnology, Faculty of Biological Sciences, University of Malakand, Chakdara, Khyber Pakhtunkhwa, Pakistan.
Aftab Ali ShahDepartment of Biotechnology, Faculty of Biological Sciences, University of Malakand, Chakdara, Khyber Pakhtunkhwa, Pakistan.
Mohammad A Al SmadiReproductive Endocrinology and IVF Unit, King Hussein Medical Centre, Amman, Jordan.
Nicole LudwigInstitute of Human Genetics, Saarland University, 66421, Homburg, Germany.
Ulrike FischerInstitute of Human Genetics, Saarland University, 66421, Homburg, Germany.
Hashim Abdul-KhaliqDepartment of Paediatric Cardiology, Saarland University Hospital, Homburg, Germany.
Eckart MeeseInstitute of Human Genetics, Saarland University, 66421, Homburg, Germany.
Masood Abu-HalimaInstitute of Human Genetics, Saarland University, 66421, Homburg, Germany. masood@daad-alumni.de.ORCID http://orcid.org/0000-0001-9048-4958

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infertility affects approximately 15% of couples globally, with male factors contributing to nearly 50% of cases. However, the genetic basis of male infertility, particularly idiopathic forms, remains poorly understood. In this study, we performed whole-genome sequencing (WGS) on eight normozoospermic men and nine men with oligozoospermia, asthenozoospermia, or both, followed by Sanger sequencing for validation. Comparative analysis revealed a higher burden of genomic variants in the sperm dysfunction infertility group (SDIG) than in the normozoospermic group (NG). Several nonsynonymous missense variants were exclusively identified in SDIG, including DNAJB13 (p.Ile159Asn), MNS1 (p.Asp217Asn), DNAH6 (p.Ser2210Leu), HYDIN (p.Gly901Ala, p.Arg568Trp), DNAH7 (p.Arg1486His, p.Gly171Arg, p.Ser2368Phe), DNAH17 (p.Ala3135Val), and CATSPER1 (p.Arg558Trp). These variants are predicted to affect protein structure, stability, or interactions, and were classified as variants of uncertain significance. Moreover, several variants were classified as likely pathogenic: a frameshift mutation in DNAH2 (p.Lys1414ArgfsTer29) likely resulting in a truncated protein, a missense mutation in CFAP61 (p.Arg568Trp) predicted to impair protein function, and two nonsense mutations in FSIP2 (p.Gln5809Ter and p.Cys8Ter) introducing premature stop codons. These alterations implicate key components of sperm flagellar function and motility. Our findings reveal novel and potentially deleterious genetic variants associated with male infertility, offering new insights into its molecular underpinnings and informing future diagnostic and therapeutic approaches.

Indexed as

Infertility, MaleOligospermiaSpermatozoaWhole Genome SequencingAdultAsthenozoospermiaGenetic MarkersHumansMaleMutation, MissenseGenetic MarkersGenetic biomarkersMale infertilityPathogenic variantsSperm dysfunctionWhole-genome sequencing (WGS)

Identifiers

PMID41115892
PMCPMC12537905

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