Evidence map›Paper›PMID 42253156›Full record

ArticleBioMed research international2026

Genetically Predicted 25-Hydroxyvitamin D Levels on Hypothyroidism: A Two-Sample Mendelian Randomization.

Mahdi Akbarzadeh, Sahand Tehrani Fateh, Aysan Moeinafshar, Danial Habibi, Amir Hossein Ghanooni, Amir Hesam Saeidian, Parisa Riahi, Maryam Zarkesh, Hossein Lanjanian, Mina Jahangiri and 5 more

Abstract read
In one paragraph

Article in BioMed research international, 2026. 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

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

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

15 authors.

Mahdi AkbarzadehCellular and Molecular Endocrine Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran, sbmu.ac.ir.ORCID https://orcid.org/0000-0002-8048-744X
Sahand Tehrani FatehSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran, tums.ac.ir.ORCID https://orcid.org/0009-0002-8903-2713
Aysan MoeinafsharSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran, tums.ac.ir.ORCID https://orcid.org/0000-0001-8944-4123
Danial HabibiSocial Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran, mubabol.ac.ir.ORCID https://orcid.org/0000-0003-4080-1809
Amir Hossein GhanooniDepartment of Endocrinology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran, iums.ac.ir.ORCID https://orcid.org/0000-0001-9666-4378
Amir Hesam SaeidianDepartment of Surgery, Rasool-E Akram Hospital, School of Medicine, Iran University of Medical Sciences, Tehran, Iran, iums.ac.ir.ORCID https://orcid.org/0000-0003-3512-0654
Parisa RiahiCellular and Molecular Endocrine Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran, sbmu.ac.ir.ORCID https://orcid.org/0000-0002-6163-1071
Maryam ZarkeshCellular and Molecular Endocrine Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran, sbmu.ac.ir.ORCID https://orcid.org/0000-0002-8519-4865
Hossein LanjanianCellular and Molecular Endocrine Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran, sbmu.ac.ir.ORCID https://orcid.org/0000-0003-4284-6592
Mina JahangiriDepartment of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran, modares.ac.ir.ORCID https://orcid.org/0000-0001-9119-7571
Maryam Moazzam-JaziCellular and Molecular Endocrine Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran, sbmu.ac.ir.ORCID https://orcid.org/0000-0003-3603-9284
Farshad TeymooriNutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran, sbmu.ac.ir.ORCID https://orcid.org/0000-0002-2382-5967
Fereidoun AziziEndocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran, sbmu.ac.ir.ORCID https://orcid.org/0000-0002-6470-2517
Mehdi HedayatiCellular and Molecular Endocrine Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran, sbmu.ac.ir.ORCID https://orcid.org/0000-0001-5816-775X
Maryam Sadat DaneshpourCellular and Molecular Endocrine Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran, sbmu.ac.ir.ORCID https://orcid.org/0000-0003-1525-8672

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlterations in levels of 25-hydroxyvitamin D have been associated with the risk of thyroid disease. This study uses Mendelian randomization (MR) to infer the possible causal association of 25-hydroxyvitamin D with hypothyroidism.

methodsWe performed two-sample MR using the summary statistics data from genome-wide association studies (GWAS) from populations with European ancestry to infer the causality of genetically controlled levels of 25-hydroxyvitamin D on the risk of hypothyroidism, Hashimoto's thyroiditis, and biochemical parameters of thyroid diseases. The inverse-variance-weighted (IVW) method was used as the primary method to calculate the combined effect of all SNPs. Other methods were adopted to evaluate the stability and reliability of the results. Comprehensive sensitivity analyses were conducted to ensure that none of the MR analysis's primary assumptions were violated.

resultsThe results of the IVW analysis revealed a significant causal association between higher levels of 25-hydroxyvitamin D and lower risk of hypothyroidism (beta = -0.197, 95% CI [-0.301, -0.093]; SE = 0.053, P

conclusionThe results of this two-sample MR study provide evidence supporting the potential of 25-hydroxyvitamin D supplementation in reducing the risk of hypothyroidism.

Indexed as

HypothyroidismMendelian Randomization AnalysisVitamin DGenetic Predisposition to DiseaseGenome-Wide Association StudyHashimoto DiseaseHumansPolymorphism, Single Nucleotide25-hydroxyvitamin DVitamin D25-hydroxyvitamin Dcausalitygenome-wide association studyhypothyroidismMendelian randomizationthyroid-stimulating hormone (TSH)

Identifiers

PMID42253156
PMCPMC13244256

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