Challenges in undertaking nonlinear Mendelian randomization

Obesity (Silver Spring)Published Methodological study

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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