Evidence map›Paper›PMID 40878120›Full record

ArticleThe world journal of men's health2026

Mendelian Randomization Analysis Reveals Iron as a Potential Contributor to Male Infertility.

Yiwei Gu, Hui Zhuo

Abstract read
In one paragraph

Article in The world journal of men's health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Yiwei GuDepartment of Urology, The Third People's Hospital of Chengdu, Chengdu, China.ORCID https://orcid.org/0000-0003-4983-8587
Hui ZhuoDepartment of Urology, The Third People's Hospital of Chengdu, Chengdu, China.ORCID https://orcid.org/0009-0004-7392-2986

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study explores whether certain trace elements are genetically linked to male infertility by using large-scale genetic data and a method called Mendelian randomization (MR), which helps infer causal relationships. MATERIALS AND

methodsWe obtained genetic data related to trace minerals and iron metabolism from three databases: the IEU Open GWAS, UK Biobank, and FinnGen Biobank. We used standard MR analysis tools to evaluate the relationship between genetic variants associated with trace elements and the risk of male infertility. The main analysis was performed using a statistical approach called the inverse variance-weighted method. Heterogeneity, horizontal pleiotropy, and potential outliers in the MR analysis results were evaluated.

resultsThe analysis suggested that higher genetically predicted iron levels may increase the risk of male infertility (odds ratio, 2.917; 95% confidence interval: 1.232-6.911; p=0.015). No similar associations were found for other elements such as copper, selenium, zinc, potassium, magnesium, calcium, ferritin, transferrin saturation, or total iron-binding capacity. The results were consistent across different analyses, with no signs of bias or genetic confounding.

conclusionsThis study provides genetic support for a possible causal role of iron in male infertility. Further research, including clinical and experimental studies, is needed to confirm these findings.

Indexed as

Causal relationshipGenome-wide association studyInfertility, maleIronMendelian randomization analysis

Identifiers

PMID40878120
PMCPMC13302992

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.