Causal Associations in Type 2 Diabetes Development

被引:10
作者
Marott, Sarah C. W. [1 ,2 ,3 ]
Nordestgaard, Borge G. [2 ,3 ,4 ]
Tybjaerg-Hansen, Anne [1 ,2 ,3 ]
Benn, Marianne [1 ,2 ,3 ]
机构
[1] Rigshosp, Dept Clin Biochem, Blegdamsvej 9, DK-2100 Copenhagen O, Denmark
[2] Univ Copenhagen, Copenhagen Univ Hosp, Fac Hlth & Med Sci, DK-2200 Copenhagen N, Denmark
[3] Herlev & Gentofte Hosp, Copenhagen Gen Populat Study, DK-2730 Herlev, Denmark
[4] Herlev & Gentofte Hosp, Dept Clin Biochem, DK-2730 Herlev, Denmark
关键词
BODY-MASS INDEX; INSULIN SECRETORY DYSFUNCTION; MENDELIAN RANDOMIZATION; ADIPOSE-TISSUE; METABOLIC SYNDROME; BLOOD-PRESSURE; RESISTANCE; MELLITUS; OBESITY; RISK;
D O I
10.1210/jc.2018-01648
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Context: Obesity, glucose, insulin resistance [homeostatic model assessment, version 2, for insulin resistance (HOMA2-IR)], and insulin secretion (HOMA2-) have been associated with type 2 diabetes (T2D) observationally. However, the causal, genetic contribution of each parameter to this risk is largely unknown and important to study because observational data are prone to confounding but genetic, causal data are free of confounding and reverse causation. Objective: We examined the causal, genetic contribution of body mass index (BMI), glucose level, C-peptide level, HOMA2-IR, and HOMA2- to the risk of T2D in 95,540 individuals from the Copenhagen General Population Study and estimated the absolute 10-year risks. Methods Cox regression analysis, instrumental variable analysis, and Poisson regression analysis were performed to estimate the observational hazard ratios, causal, genetic ORs, and absolute 10-year risks of T2D. Results: For 1-SD greater level, BMI was associated with an observational 66% (95% CI, 62% to 72%) and causal, genetic 121% (95% CI, 25% to 291%) greater risk of T2D; glucose with an observational 44% (95% CI, 41% to 46%) and causal, genetic 183% (95% CI, 56% to 416%) greater risk of T2D; and HOMA2-IR with an observational 30% (95% CI, 18% to 44%) and causal, genetic 12% (95% CI, 2% to 22%) greater risk of T2D. In contrast, for 1-SD greater level, HOMA2- was associated with an observational 14% (95% CI, 11% to 16%) and causal, genetic 21% (95% CI, 8% to 32%) lower risk of T2D. The upper tertiles of HOMA2-IR were associated with absolute 10-year diabetes risks of 31% and 37% in obese women and men, age >60 years, and a glucose level of 6.1 to 11.0 mmol/L. Conclusions: BMI, glucose level, HOMA2-IR, and HOMA2- are causally associated with T2D.
引用
收藏
页码:1313 / 1324
页数:12
相关论文
共 44 条
  • [1] Change in Body Mass Index Associated With Lowest Mortality in Denmark, 1976-2013
    Afzal, Shoaib
    Tybjaerg-Hansen, Anne
    Jensen, Gorm B.
    Nordestgaard, Borge G.
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2016, 315 (18): : 1989 - 1996
  • [2] Mechanism linking diabetes mellitus and obesity
    Al-Goblan, Abdullah S.
    Al-Alfi, Mohammed A.
    Khan, Muhammad Z.
    [J]. DIABETES METABOLIC SYNDROME AND OBESITY-TARGETS AND THERAPY, 2014, 7 : 587 - 591
  • [3] Harmonizing the Metabolic Syndrome A Joint Interim Statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity
    Alberti, K. G. M. M.
    Eckel, Robert H.
    Grundy, Scott M.
    Zimmet, Paul Z.
    Cleeman, James I.
    Donato, Karen A.
    Fruchart, Jean-Charles
    James, W. Philip T.
    Loria, Catherine M.
    Smith, Sidney C., Jr.
    [J]. CIRCULATION, 2009, 120 (16) : 1640 - 1645
  • [4] Alberti KGMM, 1998, DIABETIC MED, V15, P539, DOI 10.1002/(SICI)1096-9136(199807)15:7<539::AID-DIA668>3.0.CO
  • [5] 2-S
  • [6] [Anonymous], 2013, DIABETES ATLAS, V6th
  • [7] Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies
    Barba, C
    Cavalli-Sforza, T
    Cutter, J
    Darnton-Hill, I
    Deurenberg, P
    Deurenberg-Yap, M
    Gill, T
    James, P
    Ko, G
    Miu, AH
    Kosulwat, V
    Kumanyika, S
    Kurpad, A
    Mascie-Taylor, N
    Moon, HK
    Nishida, C
    Noor, MI
    Reddy, KS
    Rush, E
    Schultz, JT
    Seidell, J
    Stevens, J
    Swinburn, B
    Tan, K
    Weisell, R
    Wu, ZS
    Yajnik, CS
    Yoshiike, N
    Zimmet, P
    [J]. LANCET, 2004, 363 (9403) : 157 - 163
  • [8] From genome-wide association studies to Mendelian randomization: novel opportunities for understanding cardiovascular disease causality, pathogenesis, prevention, and treatment
    Benn, Marianne
    Nordestgaard, Borge G.
    [J]. CARDIOVASCULAR RESEARCH, 2018, 114 (09) : 1192 - 1208
  • [9] Burgess S, 2017, EUR J EPIDEMIOL, V32, P377, DOI 10.1007/s10654-017-0255-x
  • [10] Using published data in Mendelian randomization: a blueprint for efficient identification of causal risk factors
    Burgess, Stephen
    Scott, Robert A.
    Timpson, Nicholas J.
    Smith, George Davey
    Thompson, Simon G.
    [J]. EUROPEAN JOURNAL OF EPIDEMIOLOGY, 2015, 30 (07) : 543 - 552