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Causal associations between vitamin D and postpartum depression: A bidirectional mendelian randomization study
Tongtong Lin1, Linling Zhu1,2, Yifei Dai2
1Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR China.
This Mendelian Randomization study found no causal link between vitamin D levels and postpartum depression (PPD). Previous inconsistent findings may be due to confounding factors.
Area of Science:
- Reproductive Health
- Nutritional Psychiatry
- Genetic Epidemiology
Background:
- Observational studies suggest a link between vitamin D and postpartum depression (PPD), but findings are inconsistent.
- A robust investigation into the potential causal relationship between serum 25-hydroxyvitamin D [25(OH)D] and PPD is needed.
Purpose of the Study:
- To investigate the causal relationship between genetically predicted serum 25(OH)D levels and PPD using bidirectional Mendelian Randomization (MR).
- To address inconsistencies in previous epidemiological findings and clarify the role of vitamin D in PPD etiology.
Main Methods:
- Bidirectional Mendelian Randomization (MR) analysis utilizing summary statistics from genome-wide association studies (GWAS).
- Inclusion of large-scale datasets for PPD (15,668 cases, 376,755 controls) and 25(OH)D levels (up to 496,946 participants).
- Primary analysis using inverse-variance weighted (IVW) method, supplemented by MR-Egger and weighted median (WME) methods, with comprehensive sensitivity analyses.
Main Results:
- No significant genetic correlation was found between serum 25(OH)D levels and PPD in either direction.
- Inverse-variance weighted, MR-Egger, and WME analyses consistently showed no causal effect.
- Sensitivity analyses, including leave-one-out tests, confirmed the robustness of the findings, indicating no single SNP unduly influenced the results.
Conclusions:
- The study provides strong evidence against a causal link between vitamin D status and postpartum depression.
- Inconsistencies in prior observational studies are likely attributable to residual confounding, not a direct causal effect.
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