ArticleObesity (Silver Spring, Md.)2026
Deviation From Genetically Predicted BMI and All-Cause Mortality: A Cohort Study in the UK Biobank.
Article in Obesity (Silver Spring, Md.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Correction to "Deviation from Genetically Predicted BMI and All-Cause Mortality: A Cohort Study in the UK Biobank".Obesity (Silver Spring, Md.) · 2026Article
- Deviation From Genetically Predicted BMI and All-Cause Mortality: A Cohort Study in the UK Biobank.Obesity (Silver Spring, Md.) · 2026Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
Abstract
objectiveThe 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.
methodsWe 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.
resultsDownward 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
conclusionsThese 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.
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Registered trials
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