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. 2021 Jan;44(1):98-106.
doi: 10.2337/dc20-1328. Epub 2020 Nov 17.

Plasma Vitamin C and Type 2 Diabetes: Genome-Wide Association Study and Mendelian Randomization Analysis in European Populations

Affiliations

Plasma Vitamin C and Type 2 Diabetes: Genome-Wide Association Study and Mendelian Randomization Analysis in European Populations

Ju-Sheng Zheng et al. Diabetes Care. 2021 Jan.

Abstract

Objective: Higher plasma vitamin C levels are associated with lower type 2 diabetes risk, but whether this association is causal is uncertain. To investigate this, we studied the association of genetically predicted plasma vitamin C with type 2 diabetes.

Research design and methods: We conducted genome-wide association studies of plasma vitamin C among 52,018 individuals of European ancestry to discover novel genetic variants. We performed Mendelian randomization analyses to estimate the association of genetically predicted differences in plasma vitamin C with type 2 diabetes in up to 80,983 case participants and 842,909 noncase participants. We compared this estimate with the observational association between plasma vitamin C and incident type 2 diabetes, including 8,133 case participants and 11,073 noncase participants.

Results: We identified 11 genomic regions associated with plasma vitamin C (P < 5 × 10-8), with the strongest signal at SLC23A1, and 10 novel genetic loci including SLC23A3, CHPT1, BCAS3, SNRPF, RER1, MAF, GSTA5, RGS14, AKT1, and FADS1. Plasma vitamin C was inversely associated with type 2 diabetes (hazard ratio per SD 0.88; 95% CI 0.82, 0.94), but there was no association between genetically predicted plasma vitamin C (excluding FADS1 variant due to its apparent pleiotropic effect) and type 2 diabetes (1.03; 95% CI 0.96, 1.10).

Conclusions: These findings indicate discordance between biochemically measured and genetically predicted plasma vitamin C levels in the association with type 2 diabetes among European populations. The null Mendelian randomization findings provide no strong evidence to suggest the use of vitamin C supplementation for type 2 diabetes prevention.

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Figures

Figure 1
Figure 1
Design of the study for MR analysis of plasma vitamin C with type 2 diabetes.
Figure 2
Figure 2
Volcano plot for the association of the plasma vitamin C genetic score with blood metabolites. Associations of the 11 variant scores and the score excluding the FADS1 variant were estimated using fixed-effects meta-analyses of individual variant-metabolite associations aligned to the plasma vitamin C-raising alleles. The horizontal dashed line indicates a Bonferroni-corrected significance threshold (corrected for 175 tests), and diameters of points are proportional to abs(effect size)*50, where “abs” is the function to calculate the absolute value of the effect size.
Figure 3
Figure 3
Genetically predicted and observational associations of plasma vitamin C with type 2 diabetes. A: MR and observational estimate of plasma vitamin C with type 2 diabetes. MR estimate of the association between a genetically predicted difference of 1 SD in plasma vitamin C and type 2 diabetes (odds ratio [OR]) was determined using different methods: inverse-variance weighted, MR Egger, and weighted median. Ten lead genetic variants (excluding FADS1 variant due to pleiotropic effects) identified in the present genome-wide meta-analysis were used for the MR analysis. Observational estimate of the association of plasma vitamin C with type 2 diabetes (hazard ratio [HR]) was estimated in EPIC-InterAct using Prentice-weighted Cox regression, adjusting for potential confounders. B: Scatter plot of genetic association with type 2 diabetes and genetic association with the plasma vitamin C levels.

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