Table 1. Single-Variable MR Results of Prescription Opioid and Nonopioid Pain Medication Use on Risk of MDD and ASRDa,b.
Exposure | Method | MDD | ASRD | ||||
---|---|---|---|---|---|---|---|
N SNV | OR (95% CI) | P value | N SNV | OR (95% CI) | P value | ||
Opioid use | IVW | 26 | 1.14 (1.06-1.22) | <.001 | 23 | 1.24 (1.07-1.44) | .004 |
Weighted median | 26 | 1.18 (1.07-1.30) | <.001 | 23 | 1.22 (1.00-1.49) | .05 | |
MR Egger | 26 | 1.17 (0.92-1.47) | .21 | 23 | 1.26 (0.78-2.02) | .36 | |
Salicylic acid use | IVW | 27 | 1.07 (0.98-1.18) | .15 | 21 | 1.18 (1.00-1.40) | .05 |
Weighted median | 27 | 1.04 (0.92-1.18) | .52 | 21 | 1.14 (0.91-1.44) | .25 | |
MR Egger | 27 | 0.83 (0.66-1.04) | .12 | 21 | 0.92 (0.56-1.52) | .75 | |
Anilide use | IVW | 29 | 1.14 (1.01-1.27) | .03 | 34 | 1.01 (0.82-1.25) | .93 |
Weighted median | 29 | 1.14 (0.97-1.34) | .10 | 34 | 0.96 (0.70-1.30) | .77 | |
MR Egger | 29 | 1.05 (0.67-1.64) | .82 | 34 | 0.85 (0.37-1.94) | .70 | |
NSAID use | IVW | 29 | 1.12 (1.02-1.23) | .02 | 29 | 1.29 (1.06-1.56) | .01 |
Weighted median | 29 | 1.20 (1.05-1.37) | .008 | 29 | 1.13 (0.86-1.47) | .38 | |
MR Egger | 29 | 1.11 (0.78-1.58) | .56 | 29 | 1.18 (0.52-2.68) | .70 |
Abbreviations: ASRD, anxiety and stress-related disorder; GWAS, genome-wide association studies; IVW, inverse variance weighted; MDD, major depression or major depressive disorder (depending on study); MR, mendelian randomization; N SNVs, number of genetic instruments; NSAID, nonsteroidal anti-inflammatory drug; OR, odds ratio; SNV, single-nucleotide variant; SVMR, single-variable mendelian randomization.
Results from 2-sample SVMR analysis; main analysis method: outliers identified by MR PRESSO tool, removed; estimated associations reported as OR of outcome per unit increase in log odds of pain medication use.
Genetic instruments selected from opioid and nonopioid pain medication use GWASs, selection threshold P less than 5 × 10−6, pruned at linkage disequilibrium R2 less than .001 (10 000 kilobase pair window); N SNV differs across outcomes depending on number of genetic instruments found in outcome GWASs.