A Mendelian randomization study of the effect of type-2 diabetes on coronary heart disease
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C. Greenwood | R. Sladek | J. Meigs | J. Richards | John A. Morris | A. Leong | V. Forgetta | Omar S. Ahmad | M. Mujammami | Rui Li | G. Thanassoulis | M. Turgeon | J. B. Richards | J. B. Richards | Vincenzo Forgetta
[1] Vincenzo Forgetta,et al. Mendelian randomisation applied to drug development in cardiovascular disease: a review , 2014, Journal of Medical Genetics.
[2] Michael E. Miller,et al. Effects of intensive glycaemic control on ischaemic heart disease: analysis of data from the randomised, controlled ACCORD trial , 2014, The Lancet.
[3] N. Samani,et al. Mendelian randomization studies in coronary artery disease. , 2014, European heart journal.
[4] M. Fornage,et al. Title: Polygenic type 2 diabetes prediction at the limit of common variant detection Running title: T2D polygenic prediction , 2014 .
[5] Inês Barroso,et al. Impact of Type 2 Diabetes Susceptibility Variants on Quantitative Glycemic Traits Reveals Mechanistic Heterogeneity , 2014, Diabetes.
[6] M. Laakso,et al. Insulin resistance and hyperglycaemia in cardiovascular disease development , 2014, Nature Reviews Endocrinology.
[7] C. Langefeld,et al. Analysis of common and coding variants with cardiovascular disease in the diabetes heart study , 2014, Cardiovascular Diabetology.
[8] F. Wolf,et al. Standards of Medical Care in Diabetes—2016 Abridged for Primary Care Providers , 2016, Clinical Diabetes.
[9] Wei Bao,et al. Systematic Reviews and Meta-and Pooled Analyses Predicting Risk of Type 2 Diabetes Mellitus with Genetic Risk Models on the Basis of Established Genome-wide Association Markers : A Systematic Review , 2013 .
[10] Tanya M. Teslovich,et al. Common variants associated with plasma triglycerides and risk for coronary artery disease , 2013, Nature Genetics.
[11] A. Butterworth,et al. Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data , 2013, Genetic epidemiology.
[12] Mark I. McCarthy,et al. Mendelian Randomization Studies Do Not Support a Causal Role for Reduced Circulating Adiponectin Levels in Insulin Resistance and Type 2 Diabetes , 2013, Diabetes.
[13] Andrew D. Johnson,et al. Common genetic loci influencing plasma homocysteine concentrations and their effect on risk of coronary artery disease. , 2013, The American journal of clinical nutrition.
[14] S. Thompson,et al. Use of allele scores as instrumental variables for Mendelian randomization , 2013, International journal of epidemiology.
[15] Tom M Palmer,et al. Association of plasma uric acid with ischaemic heart disease and blood pressure: mendelian randomisation analysis of two large cohorts , 2013, BMJ.
[16] Florian Kronenberg,et al. The shared allelic architecture of adiponectin levels and coronary artery disease. , 2013, Atherosclerosis.
[17] B. Nordestgaard,et al. Genetically elevated non-fasting triglycerides and calculated remnant cholesterol as causal risk factors for myocardial infarction. , 2013, European heart journal.
[18] D. Lau,et al. The Canadian Diabetes Association 2013 clinical practice guidelines-raising the bar and setting higher standards! , 2013, Canadian journal of diabetes.
[19] Ross M. Fraser,et al. Sex-stratified Genome-wide Association Studies Including 270,000 Individuals Show Sexual Dimorphism in Genetic Loci for Anthropometric Traits , 2013, PLoS genetics.
[20] Christian Gieger,et al. The Role of Adiposity in Cardiometabolic Traits: A Mendelian Randomization Analysis , 2013, BDJ.
[21] Michael J Pencina,et al. Genetic Predisposition to Higher Blood Pressure Increases Coronary Artery Disease Risk , 2013, Hypertension.
[22] P. Grande,et al. Genetically elevated bilirubin and risk of ischaemic heart disease: three Mendelian randomization studies and a meta‐analysis , 2013, Journal of internal medicine.
[23] J. Danesh,et al. Large-scale association analysis identifies new risk loci for coronary artery disease , 2013 .
[24] V. Basevi. Standards of Medical Care in Diabetes—2013 , 2012, Diabetes Care.
[25] John Spertus,et al. Plasma HDL cholesterol and risk of myocardial infarction: a mendelian randomisation study , 2012, The Lancet.
[26] Tanya M. Teslovich,et al. Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways , 2012, Nature Genetics.
[27] Salim Yusuf,et al. Basal insulin and cardiovascular and other outcomes in dysglycemia. , 2012, The New England journal of medicine.
[28] Tanya M. Teslovich,et al. Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes , 2012, Nature Genetics.
[29] Mark I McCarthy,et al. A Mendelian Randomization Study , 2012 .
[30] George Davey Smith,et al. Using multiple genetic variants as instrumental variables for modifiable risk factors , 2012, Statistical methods in medical research.
[31] E. Mohammadi,et al. Barriers and facilitators related to the implementation of a physiological track and trigger system: A systematic review of the qualitative evidence , 2017, International journal for quality in health care : journal of the International Society for Quality in Health Care.
[32] N. Timpson,et al. Mendelian Randomization: Application to Cardiovascular Disease , 2012, Current Hypertension Reports.
[33] Christian Gieger,et al. Genetic Variants in Novel Pathways Influence Blood Pressure and Cardiovascular Disease Risk , 2011, Nature.
[34] Kasper Lage,et al. Pervasive Sharing of Genetic Effects in Autoimmune Disease , 2011, PLoS genetics.
[35] N. Mehta. Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease. , 2011, Circulation. Cardiovascular genetics.
[36] B. Norrving,et al. Global atlas on cardiovascular disease prevention and control. , 2011 .
[37] R. Frikke-Schmidt,et al. Genetically elevated apolipoprotein A-I, high-density lipoprotein cholesterol levels, and risk of ischemic heart disease. , 2010, The Journal of clinical endocrinology and metabolism.
[38] Tanya M. Teslovich,et al. Biological, Clinical, and Population Relevance of 95 Loci for Blood Lipids , 2010, Nature.
[39] Ayellet V. Segrè,et al. Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis , 2010, Nature Genetics.
[40] J. Danesh,et al. Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies. , 2010, Lancet.
[41] The Emerging Risk Factors Collaboration. Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies , 2010, The Lancet.
[42] Michael E. Miller,et al. ACTION TO CONTROL CARDIOVASCULAR RISK IN DIABETES STUDY GROUP. EFFECTS OF INTENSIVE GLUCOSE LOWERING IN TYPE 2 DIABETES , 2010 .
[43] J. Shaw,et al. Global estimates of the prevalence of diabetes for 2010 and 2030. , 2010, Diabetes research and clinical practice.
[44] J. Liao,et al. Genetically elevated C-reactive protein and ischemic vascular disease , 2009, Current atherosclerosis reports.
[45] N. Sattar,et al. Effect of intensive control of glucose on cardiovascular outcomes and death in patients with diabetes mellitus: a meta-analysis of randomised controlled trials , 2009, The Lancet.
[46] S. Havas. The ACCORD Trial and control of blood glucose level in type 2 diabetes mellitus: time to challenge conventional wisdom. , 2009, Archives of internal medicine.
[47] Grant D. Huang,et al. Glucose control and vascular complications in veterans with type 2 diabetes. , 2009, The New England journal of medicine.
[48] Darren K Mcguire,et al. The 10-year post-trial follow-up of the United Kingdom Prospective Diabetes Study (UKPDS): cardiovascular observations in context , 2009, Diabetes & vascular disease research.
[49] S. Schinner. Intensive Blood Glucose Control and Vascular Outcomes in Patients with Type 2 Diabetes , 2009 .
[50] S. Schinner,et al. Effects of Intensive Glucose Lowering in Type 2 Diabetes , 2009 .
[51] Andrew D. Johnson,et al. SNAP: a web-based tool for identification and annotation of proxy SNPs using HapMap , 2008, Bioinform..
[52] Baiju R. Shah,et al. Management of cardiovascular disease in patients with diabetes: the 2008 Canadian Diabetes Association guidelines , 2008, Canadian Medical Association Journal.
[53] Nikolaos A Patsopoulos,et al. Sensitivity of between-study heterogeneity in meta-analysis: proposed metrics and empirical evaluation. , 2008, International journal of epidemiology.
[54] C. Gieger,et al. Lifelong Reduction of LDL-Cholesterol Related to a Common Variant in the LDL-Receptor Gene Decreases the Risk of Coronary Artery Disease—A Mendelian Randomisation Study , 2008, PloS one.
[55] Michael E. Miller,et al. Effects of intensive glucose lowering in type 2 diabetes. , 2008, The New England journal of medicine.
[56] Diederick Grobbee,et al. Intensive blood glucose control and vascular outcomes in patients with type 2 diabetes. , 2008, The New England journal of medicine.
[57] George Davey Smith,et al. Mendelian randomization: Using genes as instruments for making causal inferences in epidemiology , 2008, Statistics in medicine.
[58] Executive Summary: Standards of Medical Care in Diabetes—2008 , 2008, Diabetes Care.
[59] Jonathan A C Sterne,et al. The impact of residual and unmeasured confounding in epidemiologic studies: a simulation study. , 2007, American journal of epidemiology.
[60] Explore Configuring. A Simulation Study to , 2004 .
[61] Stephen W. Sorensen,et al. Lifetime risk for diabetes mellitus in the United States. , 2003, JAMA.
[62] D. Altman,et al. Measuring inconsistency in meta-analyses , 2003, BMJ : British Medical Journal.
[63] Plamen Nikolov,et al. Economic Costs of Diabetes in the U.S. in 2002 , 2003, Diabetes care.
[64] S. Ebrahim,et al. 'Mendelian randomization': can genetic epidemiology contribute to understanding environmental determinants of disease? , 2003, International journal of epidemiology.
[65] S. Thompson,et al. Quantifying heterogeneity in a meta‐analysis , 2002, Statistics in medicine.
[66] S. Yusuf,et al. The relationship between glucose and incident cardiovascular events. A metaregression analysis of published data from 20 studies of 95,783 individuals followed for 12.4 years. , 1999, Diabetes care.
[67] George Davey Smith,et al. Meta-analysis of randomised controlled trials , 1997, The Lancet.
[68] P. Rothwell,et al. Meta-analysis of randomised controlled trials , 1997, The Lancet.
[69] Robert C. Wolpert,et al. A Review of the , 1985 .