Body mass index and all cause mortality in HUNT and UK Biobank studies: linear and non-linear mendelian randomisation analyses

医学 体质指数 生命银行 孟德尔遗传 索引(排版) 孟德尔随机化 生物信息学 老年学 环境卫生 内科学 计算机科学 万维网 遗传学 生物 基因型 基因 遗传变异
作者
Yi‐Qian Sun,Stephen Burgess,James R Staley,Angela Wood,Steven Bell,Stephen Kaptoge,Qi Guo,Thomas R Bolton,Amy M. Mason,Adam S. Butterworth,Emanuele Di Angelantonio,Gunnhild Åberge Vie,Johan Hå‌kon Bjø‌rngaard,Jonas Minet Kinge,Yue Chen,Xiao‐Mei Mai
出处
期刊: 卷期号:364: l1042-l1042 被引量:200
标识
DOI:10.1136/bmj.l1042
摘要

Abstract Editor’s Note on Methodological Criticism and an Updated Analysis Objective To investigate the shape of the causal relation between body mass index (BMI) and mortality. Design Linear and non-linear mendelian randomisation analyses. Setting Nord-Trøndelag Health (HUNT) Study (Norway) and UK Biobank (United Kingdom). Participants Middle to early late aged participants of European descent: 56 150 from the HUNT Study and 366 385 from UK Biobank. Main outcome measures All cause and cause specific (cardiovascular, cancer, and non-cardiovascular non-cancer) mortality. Results 12 015 and 10 344 participants died during a median of 18.5 and 7.0 years of follow-up in the HUNT Study and UK Biobank, respectively. Linear mendelian randomisation analyses indicated an overall positive association between genetically predicted BMI and the risk of all cause mortality. An increase of 1 unit in genetically predicted BMI led to a 5% (95% confidence interval 1% to 8%) higher risk of mortality in overweight participants (BMI 25.0-29.9) and a 9% (4% to 14%) higher risk of mortality in obese participants (BMI ≥30.0) but a 34% (16% to 48%) lower risk in underweight (BMI <18.5) and a 14% (−1% to 27%) lower risk in low normal weight participants (BMI 18.5-19.9). Non-linear mendelian randomisation indicated a J shaped relation between genetically predicted BMI and the risk of all cause mortality, with the lowest risk at a BMI of around 22-25 for the overall sample. Subgroup analyses by smoking status, however, suggested an always-increasing relation of BMI with mortality in never smokers and a J shaped relation in ever smokers. Conclusions The previously observed J shaped relation between BMI and risk of all cause mortality appears to have a causal basis, but subgroup analyses by smoking status revealed that the BMI-mortality relation is likely comprised of at least two distinct curves, rather than one J shaped relation. An increased risk of mortality for being underweight was only evident in ever smokers.
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