Homogeneity in the association of body mass index with type 2 diabetes across the UK Biobank: A Mendelian randomization study

被引:0
|
作者
Wainberg, Michael [1 ]
Mahajan, Anubha [2 ,3 ]
Kundaje, Anshul [1 ]
McCarthy, Mark I. [2 ,3 ,5 ,11 ]
Ingelsson, Erik [6 ,7 ,8 ,9 ]
Sinnott-Armstrong, Nasa [4 ]
Rivas, Manuel A. [10 ]
机构
[1] Stanford Univ, Dept Comp Sci, Stanford, CA 94305 USA
[2] Univ Oxford, Wellcome Ctr Human Genet, Oxford, England
[3] Univ Oxford, Oxford Ctr Diabet Endocrinol & Metab, Churchill Hosp, Oxford, England
[4] Stanford Univ, Dept Genet, Stanford, CA 94305 USA
[5] Churchill Hosp, NIHR Oxford Biomed Res Ctr, Oxford, England
[6] Uppsala Univ, Dept Med Sci, Mol Epidemiol, Uppsala, Sweden
[7] Uppsala Univ, Sci Life Lab, Uppsala, Sweden
[8] Stanford Univ, Sch Med, Dept Med, Div Cardiovasc Med, Stanford, CA 94305 USA
[9] Stanford Univ, Stanford Cardiovasc Inst, Stanford, CA 94305 USA
[10] Stanford Univ, Dept Biomed Data Sci, Stanford, CA 94305 USA
[11] Genentech Inc, OMNI Human Genet, San Francisco, CA 94080 USA
基金
加拿大自然科学与工程研究理事会;
关键词
LIFE-STYLE; WEIGHT-LOSS; RISK; OBESITY; BIAS; INTERVENTION; OVERWEIGHT; RATIO;
D O I
10.1371/journal.pmed.1002982; 10.1371/journal.pmed.1002982.r001; 10.1371/journal.pmed.1002982.r002; 10.1371/journal.pmed.1002982.r003; 10.1371/journal.pmed.1002982.r004; 10.1371/journal.pmed.1002982.r005
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background Lifestyle interventions to reduce body mass index (BMI) are critical public health strategies for type 2 diabetes prevention. While weight loss interventions have shown demonstrable benefit for high-risk and prediabetic individuals, we aimed to determine whether the same benefits apply to those at lower risk. Methods and findings We performed a multi-stratum Mendelian randomization study of the effect size of BMI on diabetes odds in 287,394 unrelated individuals of self-reported white British ancestry in the UK Biobank, who were recruited from across the United Kingdom from 2006 to 2010 when they were between the ages of 40 and 69 years. Individuals were stratified on the following diabetes risk factors: BMI, diabetes family history, and genome-wide diabetes polygenic risk score. The main outcome measure was the odds ratio of diabetes per 1-kg/m(2) BMI reduction, in the full cohort and in each stratum. Diabetes prevalence increased sharply with BMI, family history of diabetes, and genetic risk. Conversely, predicted risk reduction from weight loss was strikingly similar across BMI and genetic risk categories. Weight loss was predicted to substantially reduce diabetes odds even among lower-risk individuals: for instance, a 1-kg/m(2) BMI reduction was associated with a 1.37-fold reduction (95% CI 1.12-1.68) in diabetes odds among non-overweight individuals (BMI < 25 kg/m(2)) without a family history of diabetes, similar to that in obese individuals (BMI >= 30 kg/m(2)) with a family history (1.21-fold reduction, 95% CI 1.13-1.29). A key limitation of this analysis is that the BMI-altering DNA sequence polymorphisms it studies represent cumulative predisposition over an individual's entire lifetime, and may consequently incorrectly estimate the risk modification potential of weight loss interventions later in life. Conclusions In a population-scale cohort, lower BMI was consistently associated with reduced diabetes risk across BMI, family history, and genetic risk categories, suggesting all individuals can substantially reduce their diabetes risk through weight loss. Our results support the broad deployment of weight loss interventions to individuals at all levels of diabetes risk. Author summaryWhy was this study done? Excessive body weight is a key risk factor for type 2 diabetes, and weight loss is known to dramatically reduce risk, at least among people who were at high risk to begin with. However, even people without obvious risk factors like excessive weight or a family history of the disease still have a relatively large chance (about 1 percent) of developing type 2 diabetes: Could these individuals also reduce their risk of type 2 diabetes through weight loss? What did the researchers do and find? We looked at inherited genetic mutations that predispose people to lower body weight, and asked how much these mutations tend to protect people from type 2 diabetes, across 287,394 self-reported white British individuals from the UK Biobank cohort. We found that these mutations seem to offer about the same degree of protection against type 2 diabetes regardless of a person's body weight, family history of type 2 diabetes, or genetic risk for type 2 diabetes, suggesting that weight loss would have a similarly uniform protective effect for all individuals. What do these findings mean? These findings suggest that all individuals can substantially reduce their type 2 diabetes risk through weight loss, and support the broad deployment of weight loss interventions to individuals at all levels of diabetes risk as a public health measure. However, a key limitation to keep in mind is that genetic mutations, because they act across an individual's entire lifespan, are not a perfect proxy for weight loss interventions that happen only later in life.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Association of Body Mass Index With Cardiometabolic Disease in the UK Biobank A Mendelian Randomization Study
    Lyall, Donald M.
    Celis-Morales, Carlos
    Ward, Joey
    Iliodromiti, Stamatina
    Anderson, Jana J.
    Gill, Jason M. R.
    Smith, Daniel J.
    Ntuk, Uduakobong Efanga
    Mackay, Daniel F.
    Holmes, Michael V.
    Sattar, Naveed
    Pell, Jill P.
    JAMA CARDIOLOGY, 2017, 2 (08) : 882 - 889
  • [2] Body mass index and body composition in relation to 14 cardiovascular conditions in UK Biobank: a Mendelian randomization study
    Larsson, Susanna C.
    Back, Magnus
    Rees, Jessica M. B.
    Mason, Amy M.
    Burgess, Stephen
    EUROPEAN HEART JOURNAL, 2020, 41 (02) : 221 - +
  • [3] Statins, Type 2 Diabetes, and Body Mass Index: A Univariable and Multivariable Mendelian Randomization Study
    Yang, Guoyi
    Schooling, C. Mary
    JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM, 2023, 108 (02): : 385 - 396
  • [4] Body mass index and type 2 diabetes and breast cancer survival: a Mendelian randomization study
    Liu, Yi-Shian
    Wu, Pei-Ei
    Chou, Wen-Cheng
    Vikram, Rajeev
    Chen, Wei-Ting
    Yang, Show-Ling
    Bolla, K.
    Wang, Qin
    Dennis, Joe
    Chan, Tsun L.
    Choi, Ji-Yeob
    Hou, Ming-Feng
    Ito, Hidemi
    Kang, Daehee
    Kim, Sung-Won
    Kwong, Ava
    Matsuo, Keitaro
    Park, Sue K.
    Shu, Xiao-Ou
    Zheng, Wei
    Dunning, Alison M.
    Easton, Douglas F.
    Shen, Chen-Yang
    AMERICAN JOURNAL OF CANCER RESEARCH, 2021, 11 (08): : 3921 - +
  • [5] Selection into shift work is influenced by educational attainment and body mass index: a Mendelian randomization study in the UK Biobank
    Daghlas, Iyas
    Richmond, Rebecca C.
    Lane, Jacqueline M.
    Dashti, Hassan S.
    Ollila, Hanna M.
    Schernhammer, Eva S.
    Smith, George Davey
    Rutter, Martin K.
    Saxena, Richa
    Vetter, Celine
    INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2021, 50 (04) : 1229 - 1240
  • [6] Exposing the Causal Effect of Body Mass Index on the Risk of Type 2 Diabetes Mellitus: A Mendelian Randomization Study
    Cheng, Liang
    Zhuang, He
    Ju, Hong
    Yang, Shuo
    Han, Junwei
    Tan, Renjie
    Hu, Yang
    FRONTIERS IN GENETICS, 2019, 10
  • [7] Height, body mass index, and socioeconomic status: mendelian randomisation study in UK Biobank
    Tyrrell, Jessica
    Jones, Samuel E.
    Beaumont, Robin
    Astley, Christina M.
    Lovell, Rebecca
    Yaghootkar, Hanieh
    Tuke, Marcus
    Ruth, Katherine S.
    Freathy, Rachel M.
    Hirschhorn, Joel N.
    Wood, Andrew R.
    Murray, Anna
    Weedon, Michael N.
    Frayling, Timothy M.
    BMJ-BRITISH MEDICAL JOURNAL, 2016, 352
  • [8] Association between body mass index and electrocardiogram indices: A Mendelian randomization study
    Yang, Jinfeng
    Chen, Yizhao
    Li, Wei
    JOURNAL OF ELECTROCARDIOLOGY, 2024, 84 : 58 - 64
  • [9] Association of Body Mass Index and Parkinson Disease A Bidirectional Mendelian Randomization Study
    Domenighetti, Cloe
    Sugier, Pierre-Emmanuel
    Ashok Kumar Sreelatha, Ashwin
    Schulte, Claudia
    Grover, Sandeep
    Portugal, Berta
    Lee, Pei-Chen
    May, Patrick
    Bobbili, Dheeraj
    Radivojkov Blagojevic, Milena
    Lichtner, Peter
    Singleton, Andrew B.
    Hernandez, Dena
    Edsall, Connor
    Mellick, George D.
    Zimprich, Alexander A.
    Pirker, Walter
    Rogaeva, Ekaterina A.
    Lang, Anthony E.
    Koks, Sulev
    Taba, Pille
    Lesage, Suzanne
    Brice, Alexis
    Corvol, Jean-Christophe
    Chartier-Harlin, Marie-Christine
    Mutez, Eugenie
    Brockmann, Kathrin
    Deutschlander, Angela B.
    Hadjigeorgiou, Georgios M.
    Dardiotis, Efthimios
    Stefanis, Leonidas
    Simitsi, Athina Maria
    Valente, Enza Maria
    Petrucci, Simona
    Straniero, Letizia
    Zecchinelli, Anna L.
    Pezzoli, Gianni
    Brighina, Laura
    Ferrarese, Carlo
    Annesi, Grazia
    Quattrone, Andrea
    Gagliardi, Monica
    Matsuo, Hirotaka
    Nakayama, Akiyoshi
    Hattori, Nobutaka
    Nishioka, Kenya
    Chung, Sun Ju
    Kim, Yun Joong
    Kolber, Pierre
    Van De Warrenburg, Bart P. C.
    NEUROLOGY, 2024, 103 (03) : e209620
  • [10] Searching for the causal effects of body mass index in over 300 000 participants in UK Biobank, using Mendelian randomization
    Millard, Louise A. C.
    Davies, Neil M.
    Tilling, Kate
    Gaunt, Tom R.
    Smith, George Davey
    PLOS GENETICS, 2019, 15 (02):