Diabetes Mellitus, Glycemic Traits, and Cerebrovascular Disease

Objective We employed Mendelian randomization to explore the effects of genetic predisposition to type 2 diabetes (T2D), hyperglycemia, insulin resistance, and pancreatic β-cell dysfunction on risk of stroke subtypes and related cerebrovascular phenotypes. Methods We selected instruments for genetic predisposition to T2D (74,124 cases, 824,006 controls), HbA1c levels (n = 421,923), fasting glucose levels (n = 133,010), insulin resistance (n = 108,557), and β-cell dysfunction (n = 16,378) based on published genome-wide association studies. Applying 2-sample Mendelian randomization, we examined associations with ischemic stroke (60,341 cases, 454,450 controls), intracerebral hemorrhage (1,545 cases, 1,481 controls), and ischemic stroke subtypes (large artery, cardioembolic, small vessel stroke), as well as with related phenotypes (carotid atherosclerosis, imaging markers of cerebral white matter integrity, and brain atrophy). Results Genetic predisposition to T2D and higher HbA1c levels were associated with higher risk of any ischemic stroke, large artery stroke, and small vessel stroke. Similar associations were also noted for carotid atherosclerotic plaque, fractional anisotropy, a white matter disease marker, and markers of brain atrophy. We further found associations of genetic predisposition to insulin resistance with large artery and small vessel stroke, whereas predisposition to β-cell dysfunction was associated with small vessel stroke, intracerebral hemorrhage, lower gray matter volume, and total brain volume. Conclusions This study supports causal effects of T2D and hyperglycemia on large artery and small vessel stroke. We show associations of genetically predicted insulin resistance and β-cell dysfunction with large artery and small vessel stroke that might have implications for antidiabetic treatments targeting these mechanisms. Classification of Evidence This study provides Class II evidence that genetic predisposition to T2D and higher HbA1c levels are associated with a higher risk of large artery and small vessel ischemic stroke.

[1]  M. Dichgans,et al.  Genetically Predicted Blood Pressure Across the Lifespan , 2020, Hypertension.

[2]  N. Timpson,et al.  STROBE-MR: Guidelines for strengthening the reporting of Mendelian randomization studies , 2019 .

[3]  Stephen Burgess,et al.  PhenoScanner V2: an expanded tool for searching human genotype–phenotype associations , 2019, Bioinform..

[4]  C. Sudlow,et al.  Genetically Determined Levels of Circulating Cytokines and Risk of Stroke: Role of Monocyte Chemoattractant Protein-1 , 2019, Circulation.

[5]  Mark E Bastin,et al.  Associations between vascular risk factors and brain MRI indices in UK Biobank , 2019, bioRxiv.

[6]  M. Sabatine,et al.  Opportunities and Challenges in Mendelian Randomization Studies to Guide Trial Design. , 2018, JAMA cardiology.

[7]  G. Smith,et al.  Invited Commentary: Detecting Individual and Global Horizontal Pleiotropy in Mendelian Randomization—A Job for the Humble Heterogeneity Statistic? , 2018, American journal of epidemiology.

[8]  Gad Getz,et al.  Type 2 diabetes genetic loci informed by multi-trait associations point to disease mechanisms and subtypes: A soft clustering analysis , 2018, PLoS medicine.

[9]  G. Davey Smith,et al.  Problems in interpreting and using GWAS of conditional phenotypes illustrated by “alcohol GWAS” , 2018, Molecular Psychiatry.

[10]  A. Scheen,et al.  Impact of glucose-lowering therapies on risk of stroke in type 2 diabetes. , 2017, Diabetes & metabolism.

[11]  D. Feng,et al.  Disproportionately Elevated Proinsulin Levels as an Early Indicator of β-Cell Dysfunction in Nondiabetic Offspring of Chinese Diabetic Patients , 2016, International journal of endocrinology.

[12]  L. Zhong,et al.  Effects of intensive glucose lowering in treatment of type 2 diabetes mellitus on cardiovascular outcomes: A meta-analysis of data from 58,160 patients in 13 randomized controlled trials. , 2016, International journal of cardiology.

[13]  Iris M Heid,et al.  A multitrait GWAS sheds light on insulin resistance , 2016, Nature Genetics.