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. 2020 Jun 4;49(4):1259–1269. doi: 10.1093/ije/dyaa065

Table 4.

Comparison between MR and ICE FALCON with respect to the three key assumptions of MR

Assumptions (Ref.1) MR ICE FALCON
Relevance assumption: instrumental variable is strongly associated with the exposure
  • Measured genetic variants associated with exposure act as presumed instrumental variable

  • Plausibility assessment: F-statistic, risk difference or using genetic variants found by large-scale GWAS to be associated with the exposure

  • Weak instrumental variable bias

  • All unmeasured familial causes specific to the exposure act as instrumental variable; co-twin’s exposure variable used as a proxy

  • Plausibility assessment: within-pair correlation in the exposure

  • All familial causes specific to the exposure are stronger than a finite number of genetic variants associated with the exposure

Independence assumption: instrumental variable is independent of any confounder of the relationship between exposure and outcome
  • Validity assessment: biological knowledge, test between genetic variants and confounders, evidence from GWAS of confounders

  • Approaches for invalidity: removing invalid genetic variants, adjusting for population stratification, adjusting for potential confounders

  • Xco-twin is theoretically unrelated to unmeasured confounders specific to an individual only; any relation with unmeasured confounders shared between twins is captured by the familial confounder, SXY

  • Still works even if Xco-twin is also associated with Yself through SXY; inference on causation based on the changes in regression coefficients still apply

Exclusion restriction assumption: the association between the instrumental variable and the outcome is mediated through the exposure variable only
  • Validity assessment: biological knowledge, test between genetic variants and potential alternative mediators, evidence from GWAS of the outcome or potential alternative mediators

  • Approaches for invalidity: removing invalid genetic variants, statistical methods such MR-Egger regression and Weighted Median Estimator

  • Xco-twin is theoretically not related to Yself through potential alternative pathways in which Xself is uninvolved

  • Still works even if Xco-twin is also associated with Yself through a mediator shared between twins; inference on causation based on the changes in regression coefficients still apply