ArticleNeurology2017
Type 2 diabetes, glucose, insulin, BMI, and ischemic stroke subtypes: Mendelian randomization study.
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Article in Neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 3 of them syntheses that pooled it.
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68 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Oily fish and raw vegetable consumption can decrease the risk of AQP4-positive neuromyelitis optica spectrum disorders: a Mendelian-randomization study.Scientific reports · 2023Pooled it
- Impact of high glucose levels and glucose lowering on risk of ischaemic stroke: a Mendelian randomisation study and meta-analysis.Diabetologia · 2021Pooled it
- An investigation of causal relationships between prediabetes and vascular complications.Nature communications · 2020Pooled it
- Associations of glycated hemoglobin with etiology, lesions, and outcome of ischemic stroke: Japan Stroke Data Bank.eNeurologicalSci · 2026Article
- Unravelling the genetic architecture of cerebral small vessel disease in the context of stroke.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026Review
- Assessment of the Psychometric Properties of the Tampa Scale of Kinesiophobia (TSK) Questionnaire in Poland Based on Patients with Type 2 Diabetes Complicated by Stroke.Journal of clinical medicine · 2025Article
- Derivation and Validation of Prediction Models for Prolonged Length of Stay and 30-Day Readmission in Elderly Patients With Type 2 Diabetes Mellitus: A Multicenter Study.Journal of diabetes research · 2025Article
- Disentangling the genetic overlap between ischemic stroke and obesity.Diabetology & metabolic syndrome · 2024Article
- Early Detection of Dementia in Populations With Type 2 Diabetes: Predictive Analytics Using Machine Learning Approach.Journal of medical Internet research · 2024Article
- Unveiling the genetic link and pathogenesis between psoriasis and IgA nephropathy based on Mendelian randomization and transcriptome data analyses.Archives of dermatological research · 2024Article
- Effects of intravenous pulse methylprednisolone in neuromyelitis optica during the acute phase.Annals of clinical and translational neurology · 2024Article
- Females with diabetes have a higher risk of ischemic stroke readmission: a retrospective cohort study.BMC public health · 2024Article
- Conventional and genetic associations of BMI with major vascular and non-vascular disease incidence and mortality in a relatively lean Chinese population: U-shaped relationship revisited.International journal of epidemiology · 2024Article
- Associations of the circulating levels of cytokines with the risk of myeloproliferative neoplasms: a bidirectional mendelian-randomization study.BMC cancer · 2024Article
- Associations of combined polygenic risk score and glycemic status with atrial fibrillation, coronary artery disease and ischemic stroke.Cardiovascular diabetology · 2024Article
- Associations between adiposity and white matter hyperintensities: Cross-sectional and longitudinal analyses of 34,653 participants.Human brain mapping · 2024Article
- Risk factors of acute cerebral infarction in patients with primary hypertension.Irish journal of medical science · 2023Article
- Functional polymorphism in miR-208 is associated with increased risk for ischemic stroke.BMC medical genomics · 2023Article
- Article
- Causal relationships between susceptibility and severity of COVID-19 and neuromyelitis optica spectrum disorder (NMOSD) in European population: a bidirectional Mendelian randomized study.Frontiers in immunology · 2023Article
8 more citing papers are in PubMed but not listed here.
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Authors and funding
11 authors.
Susanna C LarssonFrom 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. Susanna.Larsson@ki.se.
Robert A ScottFrom 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.
Matthew TraylorFrom 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.
Claudia C LangenbergFrom 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.
George HindyFrom 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.
Olle MelanderFrom 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.
Marju Orho-MelanderFrom 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.
Sudha SeshadriFrom 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.
Nicholas J WarehamFrom 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.
Hugh S MarkusFrom 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.
METASTROKE Collaboration and NINDS Stroke Genetics Network (SiGN)
Funding
UC Davis Alzheimer's Disease Core CenterP30AG010129 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI DECARLI, CHARLES · 1991 to 2020
$28.3MTargeting the p53 pathway for reversal of oral premalignancyP50CA097007 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI MYERS, JEFFREY NICHOLAS · 2002 to 2012
$26.1MUT M.D. Anderson Cancer Center SPORE in MelanomaP50CA093459 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI GRIMM, ELIZABETH A · 2004 to 2014
$23.7MPRECURSORS OF STROKE INCIDENCE AND PROGNOSISR01NS017950 · NINDS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Hugo Javier Aparicio, Jose Rafael Romero · 1985 to 2026
$22.9MA Center for GEI Association StudiesU01HG004424 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY · 2007 to 2010
$21.4MTHE BALTIMORE LONGITUDINAL STUDY OF HUMAN AGINGZ01AG000015 · NIA · NATIONAL INSTITUTE ON AGING · PI FERRUCCI, LUIGI · 1985 to 2008
$11.4MThe NINDS International Stroke Genetics Consortium StudyU01NS069208 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI KITTNER, STEVEN J · 2010 to 2013
$9.4MMolecular Epidemiology of Head and Neck CancerR01ES011740 · NIEHS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WEI, QINGYI · 2001 to 2012
$6.3MA Genome-wide Association Study for Early-Onset Myocardial InfarctionR01HL087676 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI ALTSHULER, DAVID · 2007 to 2009
$4.7MGenetics of Early Onset-StrokeR01NS045012 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI KITTNER, STEVEN J · 2003 to 2007
$3.3MCHARGE: Identifying Risk & Protective SNV for AD in ADSP Case-control SampleU01AG049505 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI SESHADRI, SUDHA · 2014 to 2017
$3.0MRandomized Clinical Trials - Whole Genome Studies Coordinating CenterU01HG005157 · NHGRI · UNIVERSITY OF WASHINGTON · PI HEAGERTY, PATRICK J, WEIR, BRUCE S. · 2009 to 2011
$2.4MIntramural NIH HHS Z01 AG000015Intramural NIH HHS Z01 AG000954Medical Research Council MC_UU_12015/1NCI NIH HHS P50 CA093459NCI NIH HHS P50 CA097007NCI NIH HHS R01 CA100264NCI NIH HHS R01 CA133996NHGRI NIH HHS HHSN268200782096CNHGRI NIH HHS U01 HG004424NHGRI NIH HHS U01 HG004436NHGRI NIH HHS U01 HG005157NHLBI NIH HHS R01 HL087676NIA NIH HHS P30 AG010129NIA NIH HHS U01 AG049505NIEHS NIH HHS R01 ES011740NINDS NIH HHS R01 NS017950NINDS NIH HHS R01 NS045012NINDS NIH HHS U01 NS069208
Abstract
objectiveTo 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.
methodsMR 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).
resultsConventional 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,
conclusionsThis study provides support that T2D may be causally associated with large artery stroke.
Indexed as
Blood GlucoseBody Mass IndexBiomarkersBrain IschemiaDiabetes Mellitus, Type 2FastingHumansInsulinMendelian Randomization AnalysisOdds RatioPolymorphism, Single NucleotideRegression AnalysisRisk FactorsStrokeBiomarkersBlood GlucoseInsulin
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