Deviation From Genetically Predicted BMI and All-Cause Mortality: A Cohort Study in the UK Biobank.
prospective_cohort · Level II
Where this comes from
- Record sourced from PubMed, PMID 41036672.
- Also identified by DOI 10.1002/oby.70042 and PMC identifier 12724034.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
The relation between genetically predicted BMI (gBMI) and actual BMI may have health effects. This study examines the relationship between deviations from gBMI and all-cause mortality in 208,146 UK Biobank participants. We derived gBMI from polygenic risk scores, with deviations calculated as the difference between observed and predicted BMI. Cox proportional hazards models are adjusted for confounders and current BMI. Downward deviations (> 2 SD below gBMI) were associated with significantly increased mortality (HR: 1.25, 95% CI: 1.01-1.55), whereas upward deviations (> 2 SD above) showed no significant effect (HR: 1.10, 95% CI: 0.93-1.29). The mortality exhibited the known nonlinear J-shaped association with observed BMI, here lowest at BMI ~22 kg/m<sup>2</sup>, but this nadir varied by genetic predisposition; thus, for individuals with high gBMI, lowest mortality occurred at higher observed BMI (24-26 kg/m<sup>2</sup>), while those with low or medium gBMI showed sharper increases in mortality at higher BMI. These findings highlight the possible importance of aligning current BMI to genetic predisposition, and future research should examine BMI deviations and their long-term health effects. This perspective may inform personalized obesity management strategies to optimize health outcomes.
Medical subject headings
- Body Mass Index
- Obesity
- Mortality