Challenges in undertaking nonlinear Mendelian randomization
Authors' conclusion
Although there remains good evidence for a causal effect of higher BMI increasing the risk of mortality, the pattern of this association across different levels of BMI requires further characterization.
Study context
- Population
- UK Biobank; effect of BMI on mortality
- Outcome
- Utility and likely biases of nonlinear MR methods
Methodological detailsnegative control design, nonlinear Mendelian randomization
- Negative control design
- Nonlinear Mendelian randomization
Main finding
As reported in the abstract
- Problems with widely used nonlinear mendelian randomization (MR) methods; previous conclusions on the shapes of several relationships (incl. J-shaped BMI–mortality association) likely erroneous
- Good evidence remains for a causal effect of higher BMI increasing mortality risk; pattern across BMI levels requires further characterization
Original publication
Challenges in undertaking nonlinear Mendelian randomization. Obesity (Silver Spring). Published 16 October 2023. doi:10. 1002/ oby. 23927
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