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Body mass index and all-cause mortality in HUNT and UK biobank studies: revised non-linear Mendelian randomisation
Stephen Burgess1,2,3, Yi-Qian Sun4,5,6, Ang Zhou7,8
1MRC Biostatistics Unit, University of Cambridge, Cambridge, UK sb452@medschl.cam.ac.uk.
Objectives:
To estimate the shape of the causal relationship between body mass index (BMI) and mortality risk in a Mendelian randomisation framework.
Design:
Mendelian randomisation analyses of two prospective population-based cohorts.
Setting:
Individuals of European ancestries living in Norway or the UK.
Participants:
56 150 participants from the Trøndelag Health Study (HUNT) in Norway and 366 385 participants from UK Biobank recruited by postal invitation.
Outcomes:
All-cause mortality and cause-specific mortality (cardiovascular, cancer, non-cardiovascular non-cancer).
Results:
A previously published non-linear Mendelian randomisation analysis of these data using the residual stratification method suggested a J-shaped association between genetically predicted BMI and mortality outcomes with the lowest mortality risk at a BMI of around 25 kg/m2. However, the 'constant genetic effect' assumption required by this method is violated. The reanalysis of these data using the more reliable doubly-ranked stratification method provided some indication of a J-shaped relationship, but with much less certainty as there was less precision in estimates at the lower end of the BMI distribution. Evidence for a harmful effect of reducing BMI at low BMI levels was only present in some analyses, and where present, only below 20 kg/m2. A harmful effect of increasing BMI for all-cause mortality was evident above 25 kg/m2, for cardiovascular mortality above 24 kg/m2, for cancer mortality above 30 kg/m2 and for non-cardiovascular non-cancer mortality above 26 kg/m2. In UK Biobank, the association between genetically predicted BMI and mortality at high BMI levels was stronger in women than in men.
Conclusion:
This research challenges findings from previous conventional observational epidemiology and Mendelian randomisation investigations that the lowest level of mortality risk is at a BMI level of around 25 kg/m2. Our results provide some evidence that reductions in BMI will increase mortality risk for a small proportion of the population, and clear evidence that increases in BMI will increase mortality risk for those with BMI above 25 kg/m2.
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