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Published on: December 9, 2015
Vitamin D Levels and Temporomandibular Disorders: A Bidirectional Two-Sample Mendelian Randomization Analysis.
Shiya Zeng1, Yanyue Tan1,2, Zhiwei Cao3
1State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, People's Republic of China.
Higher vitamin D levels increase the risk of temporomandibular disorders (TMDs) in Europeans. However, TMDs do not appear to causally affect vitamin D levels. Further research is needed due to potential sample bias.
Area of Science:
- Genetics
- Nutritional Science
- Oral Health
Background:
- The relationship between vitamin D and temporomandibular disorders (TMDs) is under investigation but remains inconclusive.
- Mendelian randomization (MR) offers a method to explore potential causal links using genetic variants.
Purpose of the Study:
- To investigate the potential causal effect of vitamin D on the risk of developing TMDs.
- To examine if TMDs have a causal impact on vitamin D levels.
Main Methods:
- A bi-directional Mendelian randomization (MR) analysis was conducted using genome-wide association study (GWAS) data for vitamin D and TMDs in a European population.
- Inverse variance weighted (IVW) was the primary analysis method, supplemented by MR Egger and Weighted median.
- Sensitivity analyses, including Cochran's Q test and MR-PRESSO, were performed to ensure result robustness.
Main Results:
- Higher vitamin D levels were causally associated with an increased risk of TMDs in the European population (OR = 1.316, P = 0.005).
- No significant causal effect of TMDs on vitamin D levels was observed (β = -0.00738, P = 0.568).
Conclusions:
- This study suggests a potential causal link where higher vitamin D levels may increase TMDs risk.
- No evidence supports a causal relationship where TMDs influence vitamin D levels.
- Findings should be interpreted with caution due to potential selection bias in the TMDs patient sample.
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