4.6 Article

Nature as a Trialist? Deconstructing the Analogy Between Mendelian Randomization and Randomized Trials

Journal

EPIDEMIOLOGY
Volume 28, Issue 5, Pages 653-659

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/EDE.0000000000000699

Keywords

-

Funding

  1. National Institutes of Health [R01 AI102634]
  2. DynaHEALTH Grant (European Union H-PHC) [633595]
  3. NWO/ZonMW Veni Grant [91617066]

Ask authors/readers for more resources

Mendelian randomization (MR) studies are often described as naturally occurring randomized trials in which genetic factors are randomly assigned by nature. Conceptualizing MR studies as randomized trials has profound implications for their design, conduct, reporting, and interpretation. For example, analytic practices that are discouraged in randomized trials should also be discouraged in MR studies. Here, we deconstruct the oft- made analogy between MR and randomized trials. We describe four key threats to the analogy between MR studies and randomized trials: (1) exchangeability is not guaranteed; (2) time zero (and therefore the time for setting eligibility criteria) is unclear; (3) the treatment assignment is often measured with error; and (4) adherence is poorly defined. By precisely defining the causal effects being estimated, we underscore that MR estimates are often vaguely analogous to perprotocol effects in randomized trials, and that current MR methods for estimating analogues of per-protocol effects could be biased in practice. We conclude that the analogy between randomized trials and MR studies provides further perspective on both the strengths and the limitations of MR studies as currently implemented, as well as future directions for MR methodology development and application. In particular, the analogy highlights potential future directions for some MR studies to produce more interpretable and informative numerical estimates.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available