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August 01, 2017; 89 (5) Article

Type 2 diabetes, glucose, insulin, BMI, and ischemic stroke subtypes

Mendelian randomization study

Susanna C. Larsson, Robert A. Scott, Matthew Traylor, Claudia C. Langenberg, George Hindy, Olle Melander, Marju Orho-Melander, Sudha Seshadri, Nicholas J. Wareham, Hugh S. Markus, For the METASTROKE Collaboration and NINDS Stroke Genetics Network (SiGN)
First published June 30, 2017, DOI: https://doi.org/10.1212/WNL.0000000000004173
Susanna C. Larsson
From the Stroke Research Group (S.L.C., M.T., H.S.M.), Department of Clinical Neurosciences, and MRC Epidemiology Unit (R.A.S., C.C.L., N.J.W.), University of Cambridge, UK; Unit of Nutritional Epidemiology (S.C.L.), Institute of Environmental Medicine, Karolinska Institutet, Stockholm; Department of Clinical Sciences (G.H., O.M., M.O.-M.), Lund University, Malmö, Sweden; and Boston University School of Medicine (S.S.), MA.
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Robert A. Scott
From the Stroke Research Group (S.L.C., M.T., H.S.M.), Department of Clinical Neurosciences, and MRC Epidemiology Unit (R.A.S., C.C.L., N.J.W.), University of Cambridge, UK; Unit of Nutritional Epidemiology (S.C.L.), Institute of Environmental Medicine, Karolinska Institutet, Stockholm; Department of Clinical Sciences (G.H., O.M., M.O.-M.), Lund University, Malmö, Sweden; and Boston University School of Medicine (S.S.), MA.
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Matthew Traylor
From the Stroke Research Group (S.L.C., M.T., H.S.M.), Department of Clinical Neurosciences, and MRC Epidemiology Unit (R.A.S., C.C.L., N.J.W.), University of Cambridge, UK; Unit of Nutritional Epidemiology (S.C.L.), Institute of Environmental Medicine, Karolinska Institutet, Stockholm; Department of Clinical Sciences (G.H., O.M., M.O.-M.), Lund University, Malmö, Sweden; and Boston University School of Medicine (S.S.), MA.
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Claudia C. Langenberg
From the Stroke Research Group (S.L.C., M.T., H.S.M.), Department of Clinical Neurosciences, and MRC Epidemiology Unit (R.A.S., C.C.L., N.J.W.), University of Cambridge, UK; Unit of Nutritional Epidemiology (S.C.L.), Institute of Environmental Medicine, Karolinska Institutet, Stockholm; Department of Clinical Sciences (G.H., O.M., M.O.-M.), Lund University, Malmö, Sweden; and Boston University School of Medicine (S.S.), MA.
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George Hindy
From the Stroke Research Group (S.L.C., M.T., H.S.M.), Department of Clinical Neurosciences, and MRC Epidemiology Unit (R.A.S., C.C.L., N.J.W.), University of Cambridge, UK; Unit of Nutritional Epidemiology (S.C.L.), Institute of Environmental Medicine, Karolinska Institutet, Stockholm; Department of Clinical Sciences (G.H., O.M., M.O.-M.), Lund University, Malmö, Sweden; and Boston University School of Medicine (S.S.), MA.
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Olle Melander
From the Stroke Research Group (S.L.C., M.T., H.S.M.), Department of Clinical Neurosciences, and MRC Epidemiology Unit (R.A.S., C.C.L., N.J.W.), University of Cambridge, UK; Unit of Nutritional Epidemiology (S.C.L.), Institute of Environmental Medicine, Karolinska Institutet, Stockholm; Department of Clinical Sciences (G.H., O.M., M.O.-M.), Lund University, Malmö, Sweden; and Boston University School of Medicine (S.S.), MA.
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Marju Orho-Melander
From the Stroke Research Group (S.L.C., M.T., H.S.M.), Department of Clinical Neurosciences, and MRC Epidemiology Unit (R.A.S., C.C.L., N.J.W.), University of Cambridge, UK; Unit of Nutritional Epidemiology (S.C.L.), Institute of Environmental Medicine, Karolinska Institutet, Stockholm; Department of Clinical Sciences (G.H., O.M., M.O.-M.), Lund University, Malmö, Sweden; and Boston University School of Medicine (S.S.), MA.
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Sudha Seshadri
From the Stroke Research Group (S.L.C., M.T., H.S.M.), Department of Clinical Neurosciences, and MRC Epidemiology Unit (R.A.S., C.C.L., N.J.W.), University of Cambridge, UK; Unit of Nutritional Epidemiology (S.C.L.), Institute of Environmental Medicine, Karolinska Institutet, Stockholm; Department of Clinical Sciences (G.H., O.M., M.O.-M.), Lund University, Malmö, Sweden; and Boston University School of Medicine (S.S.), MA.
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Nicholas J. Wareham
From the Stroke Research Group (S.L.C., M.T., H.S.M.), Department of Clinical Neurosciences, and MRC Epidemiology Unit (R.A.S., C.C.L., N.J.W.), University of Cambridge, UK; Unit of Nutritional Epidemiology (S.C.L.), Institute of Environmental Medicine, Karolinska Institutet, Stockholm; Department of Clinical Sciences (G.H., O.M., M.O.-M.), Lund University, Malmö, Sweden; and Boston University School of Medicine (S.S.), MA.
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Hugh S. Markus
From the Stroke Research Group (S.L.C., M.T., H.S.M.), Department of Clinical Neurosciences, and MRC Epidemiology Unit (R.A.S., C.C.L., N.J.W.), University of Cambridge, UK; Unit of Nutritional Epidemiology (S.C.L.), Institute of Environmental Medicine, Karolinska Institutet, Stockholm; Department of Clinical Sciences (G.H., O.M., M.O.-M.), Lund University, Malmö, Sweden; and Boston University School of Medicine (S.S.), MA.
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From the Stroke Research Group (S.L.C., M.T., H.S.M.), Department of Clinical Neurosciences, and MRC Epidemiology Unit (R.A.S., C.C.L., N.J.W.), University of Cambridge, UK; Unit of Nutritional Epidemiology (S.C.L.), Institute of Environmental Medicine, Karolinska Institutet, Stockholm; Department of Clinical Sciences (G.H., O.M., M.O.-M.), Lund University, Malmö, Sweden; and Boston University School of Medicine (S.S.), MA.
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Citation
Type 2 diabetes, glucose, insulin, BMI, and ischemic stroke subtypes
Mendelian randomization study
Susanna C. Larsson, Robert A. Scott, Matthew Traylor, Claudia C. Langenberg, George Hindy, Olle Melander, Marju Orho-Melander, Sudha Seshadri, Nicholas J. Wareham, Hugh S. Markus, For the METASTROKE Collaboration and NINDS Stroke Genetics Network (SiGN)
Neurology Aug 2017, 89 (5) 454-460; DOI: 10.1212/WNL.0000000000004173

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Abstract

Objective: To implement a mendelian randomization (MR) approach to determine whether type 2 diabetes mellitus (T2D), fasting glucose, fasting insulin, and body mass index (BMI) are causally associated with specific ischemic stroke subtypes.

Methods: MR estimates of the association between each possible risk factor and ischemic stroke subtypes were calculated with inverse-variance weighted (conventional) and weighted median approaches, and MR-Egger regression was used to explore pleiotropy. The number of single nucleotide polymorphisms (SNPs) used as instrumental variables was 49 for T2D, 36 for fasting glucose, 18 for fasting insulin, and 77 for BMI. Genome-wide association study data of SNP-stroke associations were derived from METASTROKE and the Stroke Genetics Network (n = 18,476 ischemic stroke cases and 37,296 controls).

Results: Conventional MR analysis showed associations between genetically predicted T2D and large artery stroke (odds ratio [OR] 1.28, 95% confidence interval [CI] 1.16–1.40, p = 3.3 × 10−7) and small vessel stroke (OR 1.21, 95% CI 1.10–1.33, p = 8.9 × 10−5) but not cardioembolic stroke (OR 1.06, 95% CI 0.97–1.15, p = 0.17). The association of T2D with large artery stroke but not small vessel stroke was consistent in a sensitivity analysis using the weighted median method, and there was no evidence of pleiotropy. Genetically predicted fasting glucose and fasting insulin levels and BMI were not statistically significantly associated with any ischemic stroke subtype.

Conclusions: This study provides support that T2D may be causally associated with large artery stroke.

GLOSSARY

BMI=
body mass index;
CI=
confidence interval;
GWAS=
genome-wide association studies;
MR=
mendelian randomization;
NINDS=
National Institute of Neurologic Disorders and Stroke;
1KG=
1000 Genomes;
OR=
odds ratio;
SiGN=
Stroke Genetics Network;
SNP=
single nucleotide polymorphism;
TOAST=
Trial of Org 10172 in Acute Stroke Treatment;
T2D=
type 2 diabetes mellitus

Footnotes

  • Go to Neurology.org for full disclosures. Funding information and disclosures deemed relevant by the authors, if any, are provided at the end of the article.

  • Coinvestigators are listed at Neurology.org.

  • Supplemental data at Neurology.org

  • Received October 10, 2016.
  • Accepted in final form May 4, 2017.
  • © 2017 American Academy of Neurology
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