Table 1.

MR analyses of causal effects of 4 gut microbial genera on DLBCL

ExposureMethodSNPβ (95% CI)P valueOR (95% CI)Power
Genus Alistipes IVW 12 −0.566 (−1.115 to −0.017) .043 0.568 (0.328-0.982) 0.4 
 Maximum likelihood 12 −0.570 (−1.128 to −0.012) .045 0.565 (0.324-0.988)  
 MR-PRESSO 12 −0.441 (−0.878 to −0.004) .071 0.643 (0.415-0.996)  
 WM 12 −0.545 (−1.247 to 0.157) .128 0.58 (0.287-1.170)  
 MR-Egger 12 1.235 (−1.376 to 3.846) .376 3.439 (0.253-46.812)  
Genus Coprobacter IVW 11 0.341 (0.008-0.674) .045 1.407 (1.008-1.963) 0.82 
 Maximum likelihood 11 0.355 (0.018-0.692) .039 1.426 (1.018-1.997)  
 MR-PRESSO 11 0.346 (0.062-0.63) .033 1.426 (1.063-1.878)  
 WM 11 0.388 (−0.061 to 0.837) .091 1.474 (0.941-2.309)  
 MR-Egger 11 0.62 (−0.734 to 1.974) .393 1.859 (0.48-7.205)  
Genus Ruminococcaceae UCG-002 IVW 20 0.356 (0.011-0.701) .043 1.427 (1.011-2.015) 0.75 
 Maximum likelihood 20 0.367 (0.016-0.718) .040 1.443 (1.016-2.050)  
 MR-PRESSO 20 0.298 (0.078-0.518) .014 1.443 (1.083-1.677)  
 WM 20 0.358 (−0.132 to 0.848) .152 1.43 (0.876-2.335)  
 MR-Egger 20 0.503 (−0.391 to 1.397) .285 1.653 (0.676-4.044)  
Genus Turicibacter IVW −0.504 (−0.97 to −0.038) .034 0.604 (0.379-0.964) 0.66 
 Maximum likelihood −0.532 (−0.964 to −0.100) .016 0.587 (0.381-0.905)  
 MR-PRESSO −0.226 (−0.692 to 0.24) .36 0.587 (0.501-1.271)  
 WM −0.516 (−1.088 to 0.056) .078 0.597 (0.337-1.059)  
 MR-Egger −0.359 (−2.38 to 1.662) .738 0.698 (0.093-5.264)  
ExposureMethodSNPβ (95% CI)P valueOR (95% CI)Power
Genus Alistipes IVW 12 −0.566 (−1.115 to −0.017) .043 0.568 (0.328-0.982) 0.4 
 Maximum likelihood 12 −0.570 (−1.128 to −0.012) .045 0.565 (0.324-0.988)  
 MR-PRESSO 12 −0.441 (−0.878 to −0.004) .071 0.643 (0.415-0.996)  
 WM 12 −0.545 (−1.247 to 0.157) .128 0.58 (0.287-1.170)  
 MR-Egger 12 1.235 (−1.376 to 3.846) .376 3.439 (0.253-46.812)  
Genus Coprobacter IVW 11 0.341 (0.008-0.674) .045 1.407 (1.008-1.963) 0.82 
 Maximum likelihood 11 0.355 (0.018-0.692) .039 1.426 (1.018-1.997)  
 MR-PRESSO 11 0.346 (0.062-0.63) .033 1.426 (1.063-1.878)  
 WM 11 0.388 (−0.061 to 0.837) .091 1.474 (0.941-2.309)  
 MR-Egger 11 0.62 (−0.734 to 1.974) .393 1.859 (0.48-7.205)  
Genus Ruminococcaceae UCG-002 IVW 20 0.356 (0.011-0.701) .043 1.427 (1.011-2.015) 0.75 
 Maximum likelihood 20 0.367 (0.016-0.718) .040 1.443 (1.016-2.050)  
 MR-PRESSO 20 0.298 (0.078-0.518) .014 1.443 (1.083-1.677)  
 WM 20 0.358 (−0.132 to 0.848) .152 1.43 (0.876-2.335)  
 MR-Egger 20 0.503 (−0.391 to 1.397) .285 1.653 (0.676-4.044)  
Genus Turicibacter IVW −0.504 (−0.97 to −0.038) .034 0.604 (0.379-0.964) 0.66 
 Maximum likelihood −0.532 (−0.964 to −0.100) .016 0.587 (0.381-0.905)  
 MR-PRESSO −0.226 (−0.692 to 0.24) .36 0.587 (0.501-1.271)  
 WM −0.516 (−1.088 to 0.056) .078 0.597 (0.337-1.059)  
 MR-Egger −0.359 (−2.38 to 1.662) .738 0.698 (0.093-5.264)  

IVW was used as the primary method, synthesizing SNP effects by prioritizing those with higher precision under the assumption of no horizontal pleiotropy. Complementing this, the maximum likelihood method was used to optimize model fit with normally distributed effects. MR-PRESSO was applied to detect and correct for pleiotropic biases from SNPs. The WM provided robust estimates against invalid instrumental variables, focusing on the median of their weighted effects. Lastly, MR-Egger was used to identify directional pleiotropy, essential for unbiased estimation under the Instrument Strength Independent of Direct Effect (InSIDE) assumption.

MR-PRESSO, Mendelian randomization pleiotropy residual sum and outlier; WM, weighted median.

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