# Association of Vitamins and Minerals with Type 1 Diabetes Risk: A Mendelian Randomization Study

**Authors:** Lucia Shi, Wiame Belbellaj, Despoina Manousaki

PMC · DOI: 10.3390/nu17203297 · Nutrients · 2025-10-20

## TL;DR

This study finds that higher potassium levels are linked to increased risk of type 1 diabetes, using genetic data to infer causality.

## Contribution

The study uses Mendelian randomization to provide causal insights into the relationship between micronutrient levels and type 1 diabetes risk.

## Key findings

- Higher serum potassium levels are associated with increased type 1 diabetes risk.
- Zinc, vitamin B12, retinol, and alpha tocopherol show nominal associations with T1D.
- Most other micronutrients like vitamin C, D, and magnesium do not significantly affect T1D risk.

## Abstract

Background/Objectives: Previous studies suggest that nutrient deficiencies can alter immune responses in animals. However, the impact of micronutrients on autoimmune diseases like type 1 diabetes (T1D) in humans remains unclear since the described associations are based on observational data and they cannot establish causality. This study aims to examine the causal relationship between various micronutrients and T1D using Mendelian randomization (MR). Methods: We performed a two-sample MR analysis using genetic variants from genome-wide association studies (GWASs) of 17 micronutrients as instrumental variables (IVs). We analyzed T1D GWAS datasets of European (18,942 cases/520,580controls), multi-ancestry (25,717 cases/583,311 controls), Latin American/Hispanic (2295 cases/55,134 controls), African American/Afro-Caribbean (6451 cases/109,410 controls), and East Asian (1219 cases/132,032 controls) ancestries. We applied the inverse variance weighted (IVW) method in our main analysis, and additional MR estimators (MR-Egger, weighted median, weighted mode, MR-PRESSO) to address pleiotropy, and the Steiger test to test directionality in sensitivity analyses. Results: Following Bonferroni correction (p < 0.05/17), we found positive association between potassium levels and T1D risk (OR = 1.098, 95% CI [1.075, 1.122] p = 5.5 × 10−18) in the multi-ancestry analysis. Zinc, vitamin B12, retinol, and alpha tocopherol showed nominal associations. Vitamin C, D, K1, B6, beta- and gamma-tocopherol, magnesium, iron, copper, selenium, carotene, and folate showed no significant effects on T1D risk. For the multi-ancestry analysis, we had sufficient power to detect ORs for T1D larger than 1.065. Conclusions: Higher serum potassium levels were associated with increased T1D risk in our MR study, though supporting observational evidence is currently limited. Other micronutrients are unlikely to have large effects on T1D.

## Linked entities

- **Chemicals:** potassium (PubChem CID 813), zinc (PubChem CID 23994), vitamin B12 (PubChem CID 73415824), retinol (PubChem CID 3840), alpha tocopherol (PubChem CID 2116), vitamin C (PubChem CID 54670067), vitamin K1 (PubChem CID 5284607), vitamin B6 (PubChem CID 1054), beta-tocopherol (PubChem CID 6857447), gamma-tocopherol (PubChem CID 14986), magnesium (PubChem CID 5462224), iron (PubChem CID 23925), copper (PubChem CID 23978), selenium (PubChem CID 6326970), carotene (PubChem CID 446925), folate (PubChem CID 135405876)
- **Diseases:** type 1 diabetes (MONDO:0005147)

## Full-text entities

- **Diseases:** nutrient deficiencies (MESH:D007153), autoimmune diseases (MESH:D001327), T1D (MESH:D003922)
- **Chemicals:** copper (MESH:D003300), alpha tocopherol (MESH:D024502), potassium (MESH:D011188), iron (MESH:D007501), Zinc (MESH:D015032), magnesium (MESH:D008274), B6 (-), vitamin B12 (MESH:D014805), folate (MESH:D005492), carotene (MESH:D002338), D (MESH:D003903), Vitamin C (MESH:D001205), selenium (MESH:D012643), retinol (MESH:D014801)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12566610/full.md

## References

49 references — full list in the complete paper: https://tomesphere.com/paper/PMC12566610/full.md

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Source: https://tomesphere.com/paper/PMC12566610