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Meta-Analysis
. 2025 Aug 8;15(1):29016.
doi: 10.1038/s41598-025-12804-y.

Genetic evidence reveals phosphatidylcholine as a mediator in the causal relationship between omega-3 and multiple myeloma risk

Affiliations
Meta-Analysis

Genetic evidence reveals phosphatidylcholine as a mediator in the causal relationship between omega-3 and multiple myeloma risk

Jian Li et al. Sci Rep. .

Abstract

Previous observational studies have indicated that omega-3 may reduce the risk of various cancers. However, the relationship between omega-3 and the incidence of multiple myeloma (MM) remains unclear. Therefore, we conducted a systematic Mendelian randomization (MR) analysis to investigate the causal relationship between omega-3 and the risk of developing MM, while also exploring the potential mediating role of plasma lipids in this association. First, we conducted a two-sample MR study with MM using the omega-3 GWAS data from Richardson TG. We then repeated the validation with the other three omega-3 GWAS data and performed a meta-analysis of the MR results for a total of four omega-3 data. In the second step, we used multivariate Mendelian randomization (MVMR) analyses to adjust for the effects of confounders and explore the direct causal effects of omega-3 with MM. In the third step, we employed a two-step MR to investigate the potential mediating roles of 179 plasma lipids in the association between omega-3 and the risk of MM. Multiple sensitivity analyses were used to assess the robustness of the results. A two-sample MR analysis found that omega-3 can reduce the risk of MM (OR = 0.80, 95% CI 0.69-0.94; P = 0.005). In subsequent validation, omega-3 data from both Kettunen J and Davyson E yielded similar results. However, data from Zhang S indicated that omega-3 was not associated with MM risk. Ultimately, the meta-analysis results demonstrated that omega-3 can lower the risk of MM (OR = 0.80, 95% CI 0.72-0.88; P < 0.001). Furthermore, MVMR analysis, after adjusting for relevant risk factors such as obesity and type 2 diabetes, confirmed that omega-3 still reduces the risk of MM. Finally, two-step MR identified phosphatidylcholine (18:2_20:4) as a potential mediator of the causal relationship between omega-3 and MM. Various sensitivity analyses validated the robustness of these findings. Our study suggests that omega-3 may reduce the incidence risk of MM by increasing the levels of phosphatidylcholine (18:2_20:4). We hope that these findings will provide new insights for the prevention and treatment of MM.

Keywords: Causal association; Mendelian randomization; Multiple myeloma; Omega-3.

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Conflict of interest statement

Declarations. Competing interests: The authors declare no competing interests. Ethical approval: Each of the studies contributing to the GWAS obtained informed consent from study participants and ethical approval for data collection and analysis. Our study complied with all relevant ethical regulations, including the Declaration of Helsinki.

Figures

Fig. 1
Fig. 1
The overview of the study design and flowchart in this study (by Figdraw). MM, multiple myeloma; SNPs, single nucleotide polymorphisms; LD, linkage disequilibrium; MR, Mendelian randomization; IVW, inverse variance weighted; WM, weighted median; RAPS, robust adjusted profile score; cML, constrained maximum likelihood.
Fig. 2
Fig. 2
Two-sample MR forest plots for primary analysis and validation analysis.
Fig. 3
Fig. 3
Forest plot of MVMR for omega-3, type 2 diabetes and obesity with risk of multiple myeloma (MM).
Fig. 4
Fig. 4
Schematic diagram of mediating effects of phosphatidylcholine (18:2_20:4) levels. β1 represents the causal effect of omega-3 levels on phosphatidylcholine (18:2_20:4); β2 represents the causal effect of phosphatidylcholine (18:2_20:4) on Multiple myeloma (MM); β3 represents the total causal effect of omega-3 on MM. Indirect effect = β1Xβ2. Proportion mediated was the indirect effect divided by the total effect (Proportion mediated = β1Xβ2/β3).

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