Causal associations of insulin resistance with coronary artery disease and ischemic stroke: a Mendelian randomization analysis

被引:54
作者
Chen, Weiqi [1 ,2 ]
Wang, Shukun [3 ]
Lv, Wei [2 ]
Pan, Yuesong [1 ,2 ]
机构
[1] Capital Med Univ, Beijing Tiantan Hosp, Dept Neurol, Beijing, Peoples R China
[2] Capital Med Univ, Beijing Tiantan Hosp, China Natl Clin Res Ctr Neurol Dis, Beijing, Peoples R China
[3] Beijing Inst Basic Med Sci, Brain Sci Ctr, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
insulin resistance; stroke; coronary artery disease; genetics; HOMEOSTASIS MODEL ASSESSMENT; CARDIOVASCULAR-DISEASE; GENETIC SUPPORT; GLYCEMIC TRAITS; RISK-FACTOR; VARIANTS; INSTRUMENTS; INDIVIDUALS;
D O I
10.1136/bmjdrc-2020-001217
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction The relationship between insulin resistance (IR) and cardiovascular diseases is unclear. We aimed to examine the causal associations of IR with cardiovascular diseases, including coronary artery disease, myocardial infarction, ischemic stroke and its subtypes, using Mendelian randomization. Research design and methods Due to low sample size for gold standard measures and in order to well reflect the underlying phenotype of IR, we used 53 single nucleotide polymorphisms associated with IR phenotypes (ie, fasting insulin, high-density lipoprotein cholesterol and triglycerides) from recent genome-wide association studies (GWASs) as instrumental variables. Summary-level data from four GWASs of European individuals were used. Data on IR phenotypes were obtained from meta-analysis of GWASs of up to 188 577 individuals and data on the outcomes from GWASs of up to 446 696 individuals. Mendelian randomization (MR) estimates were calculated with inverse-variance weighted, simple and weighted-median approaches and MR-Egger regression was used to explore pleiotropy. Results Genetically predicted 1-SD increase in IR phenotypes were associated with a substantial increase in risk of coronary artery disease (OR=1.79, 95% CI: 1.57 to 2.04, p<0.001), myocardial infarction (OR=1.78, 95% CI: 1.54 to 2.06, p<0.001), ischemic stroke (OR=1.21, 95% CI: 1.05 to 1.40, p=0.007) and the small-artery occlusion subtype of stroke (OR=1.80, 95% CI: 1.30 to 2.49, p<0.001), but not associated with the large-artery atherosclerosis and cardioembolism subtypes of stroke. There was no evidence of pleiotropy. Results were broadly consistent in sensitivity analyses using simple and weighted-median approaches accounting for potential genetic pleiotropy. Conclusions This study provides evidence to support that IR was causally associated with risk of coronary artery disease, myocardial infarction, ischemic stroke and the small-artery occlusion subtype of stroke.
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页数:9
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共 38 条
[1]   An introduction to Mendelian randomization with applications in neurology [J].
Allman, Phillip H. ;
Aban, Inmaculada B. ;
Tiwari, Hemant K. ;
Cutter, Gary R. .
MULTIPLE SCLEROSIS AND RELATED DISORDERS, 2018, 24 :72-78
[2]   Insulin resistance as estimated by homeostasis model assessment predicts incident symptomatic cardiovascular disease in Caucasian subjects from the general population - The Bruneck study [J].
Bonora, Enzo ;
Egger, Georg ;
Kiechl, Stefan ;
Meigs, James B. ;
Willeit, Johann ;
Bonadonna, Riccardo C. ;
Oberhollenzer, Friedrich ;
Muggeo, Michele .
DIABETES CARE, 2007, 30 (02) :318-324
[3]   Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the I2 statistic [J].
Bowden, Jack ;
Del Greco, Fabiola M. ;
Minelli, Cosetta ;
Smith, George Davey ;
Sheehan, Nuala A. ;
Thompson, John R. .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2016, 45 (06) :1961-1974
[4]   Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator [J].
Bowden, Jack ;
Smith, George Davey ;
Haycock, Philip C. ;
Burgess, Stephen .
GENETIC EPIDEMIOLOGY, 2016, 40 (04) :304-314
[5]   Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression [J].
Bowden, Jack ;
Smith, George Davey ;
Burgess, Stephen .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2015, 44 (02) :512-525
[6]   Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data [J].
Burgess, Stephen ;
Butterworth, Adam ;
Thompson, Simon G. .
GENETIC EPIDEMIOLOGY, 2013, 37 (07) :658-665
[7]   Secondary prevention of macrovascular events in patients with type 2 diabetes in the PROactive Study (PROspective pioglitAzone Clinical Trial In macroVascular Events):: a randomised controlled trial [J].
Dormandy, JA ;
Charbonnel, B ;
Eckland, DJA ;
Erdmann, E ;
Massi-Benedetti, M ;
Kmoules, IK ;
Skene, AM ;
Tan, MH ;
Lefébvre, PJ ;
Murray, GD ;
Standl, E ;
Wilcox, RG ;
Wlhelmsen, L ;
Betteridge, J ;
Birkeland, K ;
Golay, A ;
Heine, RJ ;
Korányi, L ;
Laakso, M ;
Mokán, M ;
Norkus, A ;
Pirags, V ;
Podar, T ;
Scheen, A ;
Scherbaum, W ;
Schernthaner, G ;
Schmitz, O ;
Skrha, J ;
Smith, U ;
Taton, J .
LANCET, 2005, 366 (9493) :1279-1289
[8]   Evaluation of type 2 diabetes genetic risk variants in Chinese adults: findings from 93,000 individuals from the China Kadoorie Biobank [J].
Gan, Wei ;
Walters, Robin G. ;
Holmes, Michael V. ;
Bragg, Fiona ;
Millwood, Iona Y. ;
Banasik, Karina ;
Chen, Yiping ;
Du, Huaidong ;
Iona, Andri ;
Mahajan, Anubha ;
Yang, Ling ;
Bian, Zheng ;
Guo, Yu ;
Clarke, Robert J. ;
Li, Liming ;
McCarthy, Mark I. ;
Chen, Zhengming .
DIABETOLOGIA, 2016, 59 (07) :1446-1457
[9]   Insulin resistance and cardiovascular disease [J].
Ginsberg, HN .
JOURNAL OF CLINICAL INVESTIGATION, 2000, 106 (04) :453-458
[10]   'Mendelian randomization': an approach for exploring causal relations in epidemiology [J].
Gupta, V. ;
Walia, G. K. ;
Sachdeva, M. P. .
PUBLIC HEALTH, 2017, 145 :113-119