Publications - Cardiovascular Epidemiology Unit

Key Publications

Key Publications by year: 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011-2004

Surendrahttp://CEU2017n P…[203 authors] … Danesh J,Wain LV,Butterworth AS, Howson JMM*, Munroe PB*. Trans-ancestry meta-analyses identify rare and common variant associated with blood pressure and hypertension. (*equal senior contribution and joint corresponding authors) Nat Genet. 2016 Oct;48(10):1151-61.

Di Angelantonio E …[60 authors] … Thompson SG, Danesh J*, Hu FB*. Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents. (*equal senior contribution; JD was the sole corresponding author) Lancet 2016 Aug 20;388(10046):776-86.

Emerging Risk Factors Collaboration, Di Angelantonio E, Kaptoge S, Wormser D, Willeit P, Butterworth AS …[85 authors] … Thompson SG, Danesh J. Association of cardiometabolic multimorbidity with mortality. JAMA. 2015 Jul;314(1):52-60.

Interleukin 1 Genetics Consortium, Freitag DF, Butterworth AS, Willeit P, Howson JMM, Burgess S, Kaptoge S, Young R, Ho WK, Wood AM, Sweeting M, Spackman S, Staley JR, Ramond A, Harshfield E …[132 authors] … Di Angelantonio E, Chowdhury R, Nordestgaard BG, Saleheen D, Thompson SG, Danesh J. Cardiometabolic effects of genetic upregulation of the interleukin 1 receptor antagonist: a Mendelian randomisation analysis. Lancet Diabetes Endocrinol. 2015 Apr;3(4):243-53.

Emerging Risk Factors Collaboration, Di Angelantonio E, Gao P, Khan H, Butterworth AS, Wormser D, Kaptoge S …[69 authors] … Thompson SG, Danesh J. Glycated hemoglobin measurement and prediction of cardiovascular disease. JAMA. 2014 Mar;311(12):1225-33.

RESCAN Collaborators, Bown MJ, Sweeting MJ, Brown LC, Powell JT, Thompson SG. Surveillance intervals for small abdominal aortic aneurysms: a meta-anaylsis. JAMA. 2013 Feb; 309 (8): 806-13.

The Emerging Risk Factors Collaboration, Di Angelantonio E …[143 authors] …Thompson SG, Walker M, Watson S, Wood AM, Wormser D, Zhao X, Danesh J. Lipid-related markers and cardiovascular disease prediction. JAMA 2012;307:2499-506.

The Emerging Risk Factors Collaboration, Kaptoge S, Di Angelantonio E, Pennells L, Wood AM …[273 authors] …Thompson SG, Danesh J. C-reactive protein, fibrinogen, and cardiovascular disease prediction. N Engl J Med 2012;367:1310-20.

IL6R Genetics Consortium and The Emerging Risk Factors Collaboration, Sarwar N, Butterworth AS, Freitag DF …[221 authors] … Samani NJ, Kaptoge S, Di Angelantonio E, Harari O, Danesh J. Interleukin-6 receptor pathways in coronary disease: a collaborative meta-analysis of 82 studies. Lancet 2012;379:1205-13.

Lorenz MW…[17 authors] …Thompson SG. Carotid intima-media thickness progression to predict cardiovascular events in the general population (the PROG-IMT collaborative project): a meta-analysis of individual particpant data. Lancet 2012;379:2053-62.

#2018

Webster AP, Plant D, Ecker S, Zufferey F, Bell JT, Feber A, et al. Increased DNA methylation variability in rheumatoid arthritis discordant monozygotic twins. 2018 May 4 [cited 2018 Jun 21]; Available from: http://biorxiv.org/lookup/doi/10.1101/314963

Tuijnenburg P, Lango Allen H, Burns SO, Greene D, Jansen MH, Staples E, et al. Loss-of-function nuclear factor κB subunit 1 (NFKB1) variants are the most common monogenic cause of common variable immunodeficiency in Europeans. Journal of Allergy and Clinical Immunology [Internet]. 2018 Mar [cited 2018 Jun 14]; Available from: http://linkinghub.elsevier.com/retrieve/pii/S0091674918302860

Teschendorff A, Han J, Paul D, Virta J, Nordhausen K. Tensorial Blind Source Separation for Improved Analysis of Multi-Omic Data. 2018 May 11 [cited 2018 Jun 14]; Available from: http://biorxiv.org/lookup/doi/10.1101/300277

Sun Y-Q, Brumpton BM, Bonilla C, Lewis SJ, Burgess S, Skorpen F, et al. Serum 25-hydroxyvitamin D levels and risk of lung cancer and histologic types: a Mendelian randomisation analysis of the HUNT study. European Respiratory Journal. 2018 Jun;51(6):1800329.

Sun BB, Maranville JC, Peters JE, Stacey D, Staley JR, Blackshaw J, et al. Genomic atlas of the human plasma proteome. Nature. 2018 Jun;558(7708):73–9.

Schooling CM, Luo S, Au Yeung SL, Thompson DJ, Karthikeyan S, Bolton TR, et al. Genetic predictors of testosterone and their associations with cardiovascular disease and risk factors: A Mendelian randomization investigation. International Journal of Cardiology [Internet]. 2018 May [cited 2018 Jun 14]; Available from: http://linkinghub.elsevier.com/retrieve/pii/S0167527317361016

Ricci C, Wood A, Muller D, Gunter MJ, Agudo A, Boeing H, et al. Alcohol intake in relation to non-fatal and fatal coronary heart disease and stroke: EPIC-CVD case-cohort study. BMJ. 2018 May 29;k934.

Powell JT, Sweeting MJ, Ulug P, Thompson MM, Hinchliffe RJ. Editor’s Choice – Re-interventions After Repair of Ruptured Abdominal Aortic Aneurysm: A Report From the IMPROVE Randomised Trial. European Journal of Vascular and Endovascular Surgery. 2018 May;55(5):625–32.

Peters JE, Gupta V, Saeed IT, Offiah C, Jawad ASM. Severe localised granulomatosis with polyangiitis (Wegener’s granulomatosis) manifesting with extensive cranial nerve palsies and cranial diabetes insipidus: a case report and literature review. BMC Neurology [Internet]. 2018 Dec [cited 2018 Jun 14];18(1). Available from: https://bmcneurol.biomedcentral.com/articles/10.1186/s12883-018-1058-8

Patel R, Powell JT, Sweeting MJ, Epstein DM, Barrett JK, Greenhalgh RM. The UK EndoVascular Aneurysm Repair (EVAR) randomised controlled trials: long-term follow-up and cost-effectiveness analysis. Health Technology Assessment. 2018 Jan;22(5):1–132.

Paige E, Barrett J, Stevens D, Keogh RH, Sweeting MJ, Nazareth I, et al. Landmark Models for Optimizing the Use of Repeated Measurements of Risk Factors in Electronic Health Records to Predict Future Disease Risk. American Journal of Epidemiology [Internet]. 2018 Mar 23 [cited 2018 Jun 14]; Available from: https://academic.oup.com/aje/advance-article/doi/10.1093/aje/kwy018/4952104

Oliver-Williams C, Sweeting MJ, Turton G, Parkin D, Cooper D, Rodd C, et al. Lessons learned about prevalence and growth rates of abdominal aortic aneurysms from a 25-year ultrasound population screening programme. British Journal of Surgery. 2018 Jan;105(1):68–74.

O’Keeffe LM, Ramond A, Oliver-Williams C, Willeit P, Paige E, Trotter P, et al. Mid- and Long-Term Health Risks in Living Kidney Donors: A Systematic Review and Meta-analysis. Annals of Internal Medicine. 2018 Feb 20;168(4):276.

McCarthy NS, Vangjeli C, Surendran P, Treumann A, Rooney C, Ho E, et al. Genetic variants in PPARGC1B and CNTN4 are associated with thromboxane A 2 formation and with cardiovascular event free survival in the Anglo-Scandinavian Cardiac Outcomes Trial (ASCOT). Atherosclerosis. 2018 Feb;269:42–9.

Mayer L, Jasztal M, Pardo M, Aguera de Haro S, Collins J, Bariana TK, et al. Nbeal2 interacts with Dock7, Sec16a, and Vac14. Blood. 2018 Mar 1;131(9):1000–11.

Martin RM, Donovan JL, Turner EL, Metcalfe C, Young GJ, Walsh EI, et al. Effect of a Low-Intensity PSA-Based Screening Intervention on Prostate Cancer Mortality: The CAP Randomized Clinical Trial. JAMA. 2018 Mar 6;319(9):883.

Lorenz MW, Gao L, Ziegelbauer K, Norata GD, Empana JP, Schmidtmann I, et al. Predictive value for cardiovascular events of common carotid intima media thickness and its rate of change in individuals at high cardiovascular risk – Results from the PROG-IMT collaboration. Pirro M, editor. PLOS ONE. 2018 Apr 12;13(4):e0191172.

Li Y, Pan A, Wang DD, Liu X, Dhana K, Franco OH, et al. Impact of Healthy Lifestyle Factors on Life Expectancies in the US Population. Circulation. 2018 Apr 30;CIRCULATIONAHA.117.032047.

Lassale C, Tzoulaki I, Moons KGM, Sweeting M, Boer J, Johnson L, et al. Separate and combined associations of obesity and metabolic health with coronary heart disease: a pan-European case-cohort analysis. European Heart Journal. 2018 Feb 1;39(5):397–406.

Larsson SC, Burgess S, Michaëlsson K. Serum magnesium levels and risk of coronary artery disease: Mendelian randomisation study. BMC Medicine [Internet]. 2018 Dec [cited 2018 Jun 14];16(1). Available from: https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-018-1065-z

Lane WJ, Westhoff CM, Gleadall NS, Aguad M, Smeland-Wagman R, Vege S, et al. Automated typing of red blood cell and platelet antigens: a whole-genome sequencing study. The Lancet Haematology. 2018 Jun;5(6):e241–51.

Landmesser U, Chapman MJ, Stock JK, Amarenco P, Belch JJF, Borén J, et al. New prospects for PCSK9 inhibition? European Heart Journal [Internet]. 2018 Mar 22 [cited 2018 Jun 14]; Available from: https://academic.oup.com/eurheartj/advance-article/doi/10.1093/eurheartj/ehy147/4951530

Landmesser U, Chapman MJ, Stock JK, Amarenco P, Belch JJF, Borén J, et al. 2017 Update of ESC/EAS Task Force on practical clinical guidance for proprotein convertase subtilisin/kexin type 9 inhibition in patients with atherosclerotic cardiovascular disease or in familial hypercholesterolaemia. European Heart Journal. 2018 Apr 7;39(14):1131–43.

Kunutsor SK, Laukkanen JA, Burgess S. Genetically elevated gamma-glutamyltransferase and Alzheimer’s disease. Experimental Gerontology. 2018 Jun;106:61–6.

Knott CS, Bell S, Britton A. The stability of baseline-defined categories of alcohol consumption during the adult life-course: a 28-year prospective cohort study: Stability of baseline consumption categories. Addiction. 2018 Jan;113(1):34–43.

Knott CS, Britton A, Bell S. Trajectories of alcohol consumption prior to the diagnosis of type 2 diabetes: a longitudinal case–cohort study. International Journal of Epidemiology [Internet]. 2018 Jan 12 [cited 2018 Jun 14]; Available from: http://academic.oup.com/ije/advance-article/doi/10.1093/ije/dyx274/4803218

Khandaker GM, Zammit S, Burgess S, Lewis G, Jones PB. Association between a functional interleukin 6 receptor genetic variant and risk of depression and psychosis in a population-based birth cohort. Brain, Behavior, and Immunity. 2018 Mar;69:264–72.

Jiang X, O’Reilly PF, Aschard H, Hsu Y-H, Richards JB, Dupuis J, et al. Genome-wide association study in 79,366 European-ancestry individuals informs the genetic architecture of 25-hydroxyvitamin D levels. Nature Communications [Internet]. 2018 Dec [cited 2018 Jun 14];9(1). Available from: http://www.nature.com/articles/s41467-017-02662-2

Holt KE, McAdam P, Thai PVK, Thuong NTT, Ha DTM, Lan NN, et al. Frequent transmission of the Mycobacterium tuberculosis Beijing lineage and positive selection for the EsxW Beijing variant in Vietnam. Nature Genetics. 2018 Jun;50(6):849–56.

Hemingway H, Asselbergs FW, Danesh J, Dobson R, Maniadakis N, Maggioni A, et al. Big data from electronic health records for early and late translational cardiovascular research: challenges and potential. European Heart Journal. 2018 Apr 21;39(16):1481–95.

Harrison SC, Holmes MV, Burgess S, Asselbergs FW, Jones GT, Baas AF, et al. Genetic Association of Lipids and Lipid Drug Targets With Abdominal Aortic Aneurysm: A Meta-analysis. JAMA Cardiology. 2018 Jan 1;3(1):26.

Glover MJ, Jones E, Masconi KL, Sweeting MJ, Thompson SG, SWAN Collaborators, et al. Discrete Event Simulation for Decision Modeling in Health Care: Lessons from Abdominal Aortic Aneurysm Screening. Medical Decision Making. 2018 May;38(4):439–51.

Flannick J, Fuchsberger C, Mahajan A, Teslovich TM, Agarwala V, Gaulton KJ, et al. Erratum: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls. Scientific Data. 2018 Jan 23;5:180002.

Ference BA. Causal Effect of Lipids and Lipoproteins on Atherosclerosis. Cardiology Clinics. 2018 May;36(2):203–11.

Ference BA. How to use Mendelian randomization to anticipate the results of randomized trials. European Heart Journal. 2018 Feb 1;39(5):360–2.

ExomeBP Consortium, MAGIC Consortium, GIANT Consortium, Mahajan A, Wessel J, Willems SM, et al. Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes. Nature Genetics. 2018 Apr;50(4):559–71.

Evans JDW, Dobbin SJH, Pettit SJ, Di Angelantonio E, Willeit P. High-Sensitivity Cardiac Troponin and New-Onset Heart Failure. JACC: Heart Failure. 2018 Mar;6(3):187–97.

Emdin CA, Khera AV, Chaffin M, Klarin D, Natarajan P, Aragam K, et al. Analysis of predicted loss-of-function variants in UK Biobank identifies variants protective for disease. Nature Communications [Internet]. 2018 Dec [cited 2018 Jun 14];9(1). Available from: http://www.nature.com/articles/s41467-018-03911-8

Ecker S, Pancaldi V, Valencia A, Beck S, Paul DS. Epigenetic and Transcriptional Variability Shape Phenotypic Plasticity. BioEssays. 2018 Feb;40(2):1700148.

Di Angelantonio E. Body mass index as a measure of global adiposity. Archives of Cardiovascular Diseases. 2018 Mar;111(3):141–3.

Corbin LJ, Tan VY, Hughes DA, Wade KH, Paul DS, Tansey KE, et al. Formalising recall by genotype as an efficient approach to detailed phenotyping and causal inference. Nature Communications [Internet]. 2018 Dec [cited 2018 Jun 14];9(1). Available from: http://www.nature.com/articles/s41467-018-03109-y

Colpani V, Baena CP, Jaspers L, van Dijk GM, Farajzadegan Z, Dhana K, et al. Lifestyle factors, cardiovascular disease and all-cause mortality in middle-aged and elderly women: a systematic review and meta-analysis. European Journal of Epidemiology [Internet]. 2018 Mar 10 [cited 2018 Jun 14]; Available from: http://link.springer.com/10.1007/s10654-018-0374-z

CHD Exome+ Consortium, EPIC-CVD Consortium, ExomeBP Consortium, Global Lipids Genetic Consortium, GoT2D Genes Consortium, EPIC InterAct Consortium, et al. Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity. Nature Genetics. 2018 Jan;50(1):26–41.

Burgess S, Zuber V, Gkatzionis A, Foley CN. Modal-based estimation via heterogeneity-penalized weighting: model averaging for consistent and efficient estimation in Mendelian randomization when a plurality of candidate instruments are valid. International Journal of Epidemiology [Internet]. 2018 May 26 [cited 2018 Jun 14]; Available from: https://academic.oup.com/ije/advance-article/doi/10.1093/ije/dyy080/5011821

Burgess S, Foley CN, Zuber V. Inferring Causal Relationships Between Risk Factors and Outcomes from Genome-Wide Association Study Data. Annual Review of Genomics and Human Genetics [Internet]. 2018 Aug 31 [cited 2018 Jun 14];19(1). Available from: http://www.annualreviews.org/doi/10.1146/annurev-genom-083117-021731

Blue Mountains Eye Study—GWAS group, NEIGHBORHOOD Consortium, Wellcome Trust Case Control Consortium 2 (WTCCC2), Iglesias AI, Mishra A, Vitart V, et al. Cross-ancestry genome-wide association analysis of corneal thickness strengthens link between complex and Mendelian eye diseases. Nature Communications [Internet]. 2018 Dec [cited 2018 Jun 14];9(1). Available from: http://www.nature.com/articles/s41467-018-03646-6

Bédard A, Lewis SJ, Burgess S, Henderson AJ, Shaheen SO. Maternal iron status during pregnancy and respiratory and atopic outcomes in the offspring: a Mendelian randomisation study. BMJ Open Respiratory Research. 2018 Mar;5(1):e000275.

Batty GD, Kivimäki M, Bell S, Gale CR, Shipley M, Whitley E, et al. Psychosocial characteristics as potential predictors of suicide in adults: an overview of the evidence with new results from prospective cohort studies. Translational Psychiatry [Internet]. 2018 Dec [cited 2018 Jun 14];8(1). Available from: http://www.nature.com/articles/s41398-017-0072-8

Batty GD, Bell S. Animal Companionship and Risk of Suicide: Epidemiology. 2018 Jul;29(4):e25–6.

AFGen Consortium, Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium, International Genomics of Blood Pressure (iGEN-BP) Consortium, INVENT Consortium, STARNET, BioBank Japan Cooperative Hospital Group, et al. Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes. Nature Genetics. 2018 Apr;50(4):524–37.

#2017

Zou S, Teixeira AM, Kostadima M, Astle WJ, Radhakrishnan A, Simon LM, et al. SNP in human ARHGEF3 promoter is associated with DNase hypersensitivity, transcript level and platelet function, and Arhgef3 KO mice have increased mean platelet volume. Schulz C, editor. PLOS ONE. 2017 May 23;12(5):e0178095.

Zilanawala A, Abell J, Bell S, Webb E, Lacey R. Parental nonstandard work schedules during infancy and children’s BMI trajectories. Demographic Research. 2017 Sep 19;37:709–26.

Zhao W, Rasheed A, Tikkanen E, Lee J-J, Butterworth AS, Howson JMM, et al. Identification of new susceptibility loci for type 2 diabetes and shared etiological pathways with coronary heart disease. Nature Genetics. 2017 Sep 4;49(10):1450–7.

Zanetti D, Tikkanen E, Gustafsson S, Priest JR, Burgess S, Ingelsson E. Birthweight, Type 2 Diabetes and Cardiovascular Disease: Addressing the Barker Hypothesis with Mendelian randomization. 2017 Oct 25 [cited 2018 Jun 14]; Available from: http://biorxiv.org/lookup/doi/10.1101/208629

Yavorska OO, Burgess S. MendelianRandomization: an R package for performing Mendelian randomization analyses using summarized data. International Journal of Epidemiology. 2017 Dec 1;46(6):1734–9.

Willeit P, Welsh P, Evans JDW, Tschiderer L, Boachie C, Jukema JW, et al. High-Sensitivity Cardiac Troponin Concentration and Risk of First-Ever Cardiovascular Outcomes in 154,052 Participants. Journal of the American College of Cardiology. 2017 Aug;70(5):558–68.

Wheeler GM, Sweeting MJ, Mander AP. Toxicity-dependent feasibility bounds for the escalation with overdose control approach in phase I cancer trials: TOXICITY-DEPENDENT FEASIBILITY BOUNDS FOR PHASE I TRIALS. Statistics in Medicine. 2017 Jul 20;36(16):2499–513.

Wheeler GM, Sweeting MJ, Mander AP, Lee SM, Cheung YKK. Modelling semi-attributable toxicity in dual-agent phase I trials with non-concurrent drug administration: Modelling semi-attributable toxicity in dual-agent phase I trials with non-concurrent drug administration. Statistics in Medicine. 2017 Jan 30;36(2):225–41.

Webb TR, Erdmann J, Stirrups KE, Stitziel NO, Masca NGD, Jansen H, et al. Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease. Journal of the American College of Cardiology. 2017 Feb;69(7):823–36.

Webb EA, Bell S, Lacey RE, Abell JG. Crossing the road in time: Inequalities in older people’s walking speeds. Journal of Transport & Health. 2017 Jun;5:77–83.

Walker VM, Davies NM, Windmeijer F, Burgess S, Martin RM. Power calculator for instrumental variable analysis in pharmacoepidemiology. International Journal of Epidemiology. 2017 Oct 1;46(5):1627–32.

Understanding Society Scientific Group, EPIC-CVD Consortium, UK10K Consortium, Hendricks AE, Bochukova EG, Marenne G, et al. Rare Variant Analysis of Human and Rodent Obesity Genes in Individuals with Severe Childhood Obesity. Scientific Reports [Internet]. 2017 Dec [cited 2018 Jun 14];7(1). Available from: http://www.nature.com/articles/s41598-017-03054-8

Ulug P, Sweeting MJ, von Allmen RS, Thompson SG, Powell JT, Ulug P, et al. Morphological suitability for endovascular repair, non-intervention rates, and operative mortality in women and men assessed for intact abdominal aortic aneurysm repair: systematic reviews with meta-analysis. The Lancet. 2017 Jun;389(10088):2482–91.

Tom BDM, Thompson SG, Duffy SW, Sweeting MJ, Ohlssen DI. Richard Nixon, 1972-2016. Journal of the Royal Statistical Society: Series A (Statistics in Society). 2017 Jun;180(3):932–3.

Thompson S. Sources of evidence for assessing the safety, efficacy and effectiveness of medicines [Internet]. Academy of Medical Sciences; 2017 Jun. Available from: https://acmedsci.ac.uk/policy/policy-projects/methods-of-evaluating-evidence

The UK-PSC Consortium, The International IBD Genetics Consortium, The International PSC Study Group, Ji S-G, Juran BD, Mucha S, et al. Genome-wide association study of primary sclerosing cholangitis identifies new risk loci and quantifies the genetic relationship with inflammatory bowel disease. Nature Genetics. 2017 Feb;49(2):269–73.

The Telomeres Mendelian Randomization Collaboration, Haycock PC, Burgess S, Nounu A, Zheng J, Okoli GN, et al. Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases: A Mendelian Randomization Study. JAMA Oncology. 2017 May 1;3(5):636.

The International Consortium of Blood Pressure (ICBP) 1000G Analyses, BIOS Consortium, Lifelines Cohort Study, Understanding Society Scientific group, The CHD Exome+ Consortium, The ExomeBP Consortium, et al. Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk. Nature Genetics. 2017 Mar;49(3):403–15.

Tachmazidou I, Süveges D, Min JL, Ritchie GRS, Steinberg J, Walter K, et al. Whole-Genome Sequencing Coupled to Imputation Discovers Genetic Signals for Anthropometric Traits. The American Journal of Human Genetics. 2017 Jun;100(6):865–84.

Sweeting MJ. Development, evaluation (including randomised controlled trial and economic evaluation) and implementation of a web-based self-management programme for people with type 2 diabetes (HeLP-Diabetes). 2017 Dec 4 [cited 2018 Jun 14]; Available from: https://www.repository.cam.ac.uk/handle/1810/269892

Sweeting MJ, Patel R, Powell JT, Greenhalgh RM. Endovascular Repair of Abdominal Aortic Aneurysm in Patients Physically Ineligible for Open Repair: Very Long-term Follow-up in the EVAR-2 Randomized Controlled Trial. Annals of Surgery. 2017 Nov;266(5):713–9.

Sweeting MJ, Barrett JK, Thompson SG, Wood AM. The use of repeated blood pressure measures for cardiovascular risk prediction: a comparison of statistical models in the ARIC study: REPEATED BLOOD PRESSURE MEASURES FOR CVD RISK PREDICTION. Statistics in Medicine. 2017 Dec 10;36(28):4514–28.

Sweeting MJ. Using predictions from a joint model for longitudinal and survival data to inform the optimal time of intervention in an abdominal aortic aneurysm screening programme. Biometrical Journal. 2017 Nov;59(6):1247–60.

Stitziel NO, Khera AV, Wang X, Bierhals AJ, Vourakis AC, Sperry AE, et al. ANGPTL3 Deficiency and Protection Against Coronary Artery Disease. Journal of the American College of Cardiology. 2017 Apr;69(16):2054–63.

Staley JR, Burgess S. Semiparametric methods for estimation of a nonlinear exposure-outcome relationship using instrumental variables with application to Mendelian randomization. Genetic Epidemiology. 2017 May;41(4):341–52.

Staley JR, Jones E, Kaptoge S, Butterworth AS, Sweeting MJ, Wood AM, et al. A comparison of Cox and logistic regression for use in genome-wide association studies of cohort and case-cohort design. European Journal of Human Genetics. 2017 Jun;25(7):854–62.

Song C, Burgess S, Eicher JD, O’Donnell CJ, Johnson AD. Causal Effect of Plasminogen Activator Inhibitor Type 1 on Coronary Heart Disease. Journal of the American Heart Association. 2017 Jun;6(6):e004918.

Sofianopoulou E, Pless-Mulloli T, Rushton S, Diggle P. Modelling seasonal and spatio-temporal variation in respiratory prescribing: the example of respiratory prescribing. 2017 Feb 8;

Sivapalaratnam S, Westbury SK, Stephens JC, Greene D, Downes K, Kelly AM, et al. Rare variants in GP1BB are responsible for autosomal dominant macrothrombocytopenia. Blood. 2017 Jan 26;129(4):520–4.

Sidloff DA, Saratzis A, Sweeting MJ, Michaels J, Powell JT, Thompson SG, et al. Sex differences in mortality after abdominal aortic aneurysm repair in the UK: Sex differences in mortality after abdominal aortic aneurysm repair. British Journal of Surgery. 2017 Nov;104(12):1656–64.

Schormair B, Zhao C, Bell S, Tilch E, Salminen AV, Pütz B, et al. Identification of novel risk loci for restless legs syndrome in genome-wide association studies in individuals of European ancestry: a meta-analysis. The Lancet Neurology. 2017 Nov;16(11):898–907.

Saleheen D, Natarajan P, Armean IM, Zhao W, Rasheed A, Khetarpal SA, et al. Human knockouts and phenotypic analysis in a cohort with a high rate of consanguinity. Nature. 2017 Apr 12;544(7649):235–9.

Saleheen D, Haycock PC, Zhao W, Rasheed A, Taleb A, Imran A, et al. Apolipoprotein(a) isoform size, lipoprotein(a) concentration, and coronary artery disease: a mendelian randomisation analysis. The Lancet Diabetes & Endocrinology. 2017 Jul;5(7):524–33.

Rossi SH, Hsu R, Blick C, Goh V, Nathan P, Nicol D, et al. Meta-analysis of the prevalence of renal cancer detected by abdominal ultrasonography. British Journal of Surgery. 2017 May;104(6):648–59.

Rees JMB, Wood AM, Burgess S. Extending the MR-Egger method for multivariable Mendelian randomization to correct for both measured and unmeasured pleiotropy. Statistics in Medicine. 2017 Dec 20;36(29):4705–18.

Powell JT, Sweeting MJ, Ulug P, Blankensteijn JD, Lederle FA, Becquemin J-P, et al. Meta-analysis of individual-patient data from EVAR-1, DREAM, OVER and ACE trials comparing outcomes of endovascular or open repair for abdominal aortic aneurysm over 5 years. British Journal of Surgery. 2017 Feb;104(3):166–78.

Pleines I, Woods J, Chappaz S, Kew V, Foad N, Ballester-Beltrán J, et al. Mutations in tropomyosin 4 underlie a rare form of human macrothrombocytopenia. Journal of Clinical Investigation. 2017 Jan 30;127(3):814–29.

Petersen R, Lambourne JJ, Javierre BM, Grassi L, Kreuzhuber R, Ruklisa D, et al. Platelet function is modified by common sequence variation in megakaryocyte super enhancers. Nature Communications. 2017 Jul 13;8:16058.

Paige E, Masconi KL, Tsimikas S, Kronenberg F, Santer P, Weger S, et al. Lipoprotein(a) and incident type-2 diabetes: results from the prospective Bruneck study and a meta-analysis of published literature. Cardiovascular Diabetology [Internet]. 2017 Dec [cited 2018 Jun 21];16(1). Available from: http://cardiab.biomedcentral.com/articles/10.1186/s12933-017-0520-z

Paige E, Barrett J, Pennells L, Sweeting M, Willeit P, Di Angelantonio E, et al. Use of Repeated Blood Pressure and Cholesterol Measurements to Improve Cardiovascular Disease Risk Prediction: An Individual-Participant-Data Meta-Analysis. American Journal of Epidemiology. 2017 Oct 15;186(8):899–907.

Obeidat M, Li X, Burgess S, Zhou G, Fishbane N, Hansel NN, et al. Surfactant protein D is a causal risk factor for COPD: results of Mendelian randomisation. European Respiratory Journal. 2017 Nov;50(5):1700657.

O’Neill D, Britton A, Brunner EJ, Bell S. Twenty‐Five‐Year Alcohol Consumption Trajectories and Their Association With Arterial Aging: A Prospective Cohort Study. Journal of the American Heart Association. 2017 Feb;6(2):e005288.

Nomura A, Won H-H, Khera AV, Takeuchi F, Ito K, McCarthy S, et al. Protein-Truncating Variants at the Cholesteryl Ester Transfer Protein Gene and Risk for Coronary Heart DiseaseNovelty and Significance. Circulation Research. 2017 Jun 23;121(1):81–8.

Nelson CP, Goel A, Butterworth AS, Kanoni S, Webb TR, Marouli E, et al. Association analyses based on false discovery rate implicate new loci for coronary artery disease. Nature Genetics. 2017 Jul 17;49(9):1385–91.

Natarajan P, Young R, Stitziel NO, Padmanabhan S, Baber U, Mehran R, et al. Polygenic Risk Score Identifies Subgroup With Higher Burden of Atherosclerosis and Greater Relative Benefit From Statin Therapy in the Primary Prevention SettingClinical Perspective. Circulation. 2017 May 30;135(22):2091–101.

Muka T, Chowdhury R, Franco OH. Effect of Iron Levels on Women After Premature or Early-Onset Menopause—Reply. JAMA Cardiology. 2017 Apr 1;2(4):458.

Marouli E, Graff M, Medina-Gomez C, Lo KS, Wood AR, Kjaer TR, et al. Rare and low-frequency coding variants alter human adult height. Nature. 2017 Feb 1;542(7640):186–90.

Liu Z, Burgess S, Wang Z, Deng W, Chu X, Cai J, et al. Associations of triglyceride levels with longevity and frailty: A Mendelian randomization analysis. Scientific Reports. 2017 Jan 30;7:41579.

Liu DJ, Peloso GM, Yu H, Butterworth AS, Wang X, Mahajan A, et al. Exome-wide association study of plasma lipids in >300,000 individuals. Nature Genetics. 2017 Oct 30;49(12):1758–66.

Larsson SC, Traylor M, Burgess S, Markus HS. Genetically-Predicted Adult Height and Alzheimer’s Disease. Journal of Alzheimer’s Disease. 2017 Sep 18;60(2):691–8.

Larsson SC, Burgess S, Michaëlsson K. Association of Genetic Variants Related to Serum Calcium Levels With Coronary Artery Disease and Myocardial Infarction. JAMA. 2017 Jul 25;318(4):371.

Lacey RE, Sacker A, Bell S, Kumari M, Worts D, McDonough P, et al. Work-family life courses and BMI trajectories in three British birth cohorts. International Journal of Obesity. 2017 Feb;41(2):332–9.

Kunutsor SK, Kieneker LM, Burgess S, Bakker SJL, Dullaart RPF. Circulating Total Bilirubin and Future Risk of Hypertension in the General Population: The Prevention of Renal and Vascular End‐Stage Disease (PREVEND) Prospective Study and a Mendelian Randomization Approach. Journal of the American Heart Association. 2017 Nov;6(11):e006503.

Kraja AT, Cook JP, Warren HR, Surendran P, Liu C, Evangelou E, et al. New Blood Pressure–Associated Loci Identified in Meta-Analyses of 475 000 IndividualsCLINICAL PERSPECTIVE. Circulation: Cardiovascular Genetics. 2017 Oct;10(5):e001778.

Khera AV, Won H-H, Peloso GM, O’Dushlaine C, Liu D, Stitziel NO, et al. Association of Rare and Common Variation in the Lipoprotein Lipase Gene With Coronary Artery Disease. JAMA. 2017 Mar 7;317(9):937.

Jason F, Fuchsberger C, Mahajan A, Teslovich TM, Agarwala V, Gaulton KJ, et al. Sequence data and association statistics from 12,940 type 2 diabetes cases and controls. Scientific Data. 2017 Dec 19;4:170179.

Jaiswal S, Natarajan P, Silver AJ, Gibson CJ, Bick AG, Shvartz E, et al. Clonal Hematopoiesis and Risk of Atherosclerotic Cardiovascular Disease. New England Journal of Medicine. 2017 Jul 13;377(2):111–21.

Howson JMM, Zhao W, Barnes DR, Ho W-K, Young R, Paul DS, et al. Fifteen new risk loci for coronary artery disease highlight arterial-wall-specific mechanisms. Nature Genetics. 2017 May 22;49(7):1113–9.

Harrison JM, Gilchrist PT, Corovic TS, Bogetti C, Song Y, Bacon SL, et al. Respiratory and hemodynamic contributions to emotion-related pre-syncopal vasovagal symptoms. Biological Psychology. 2017 Jul;127:46–52.

Guo Q, Et A. Body Mass Index and Breast Cancer Survival: A Mendelian Randomisation Analysis. 2017 Jun 15 [cited 2018 Jun 14]; Available from: https://www.repository.cam.ac.uk/handle/1810/264773

Gunter MJ, Murphy N, Cross AJ, Dossus L, Dartois L, Fagherazzi G, et al. Coffee Drinking and Mortality in 10 European Countries: A Multinational Cohort Study. Annals of Internal Medicine. 2017 Aug 15;167(4):236.

Gregson JM, Freitag DF, Surendran P, Stitziel NO, Chowdhury R, Burgess S, et al. Genetic invalidation of Lp-PLA ₂ as a therapeutic target: Large-scale study of five functional Lp-PLA ₂ -lowering alleles. European Journal of Preventive Cardiology. 2017 Mar;24(5):492–504.

Goldman M, Steele WR, Di Angelantonio E, van den Hurk K, Vassallo RR, Germain M, et al. Comparison of donor and general population demographics over time: a BEST Collaborative group study: DONOR AND GENERAL POPULATION DEMOGRAPHICS. Transfusion. 2017 Oct;57(10):2469–76.

Gage SH, Jones HJ, Taylor AE, Burgess S, Zammit S, Munafò MR. Investigating causality in associations between smoking initiation and schizophrenia using Mendelian randomization. Scientific Reports. 2017 Jan 19;7:40653.

Gage SH, Jones HJ, Burgess S, Bowden J, Davey Smith G, Zammit S, et al. Assessing causality in associations between cannabis use and schizophrenia risk: a two-sample Mendelian randomization study. Psychological Medicine. 2017 Apr;47(05):971–80.

Franceschini N, Fry RC, Balakrishnan P, Navas-Acien A, Oliver-Williams C, Howard AG, et al. Cadmium body burden and increased blood pressure in middle-aged American Indians: the Strong Heart Study. Journal of Human Hypertension. 2017 Mar;31(3):225–30.

Ference BA, Kastelein JJP, Ginsberg HN, Chapman MJ, Nicholls SJ, Ray KK, et al. Association of Genetic Variants Related to CETP Inhibitors and Statins With Lipoprotein Levels and Cardiovascular Risk. JAMA. 2017 Sep 12;318(10):947.

Feber A, Dhami P, Dong L, de Winter P, Tan WS, Martínez-Fernández M, et al. UroMark—a urinary biomarker assay for the detection of bladder cancer. Clinical Epigenetics [Internet]. 2017 Dec [cited 2018 Jun 14];9(1). Available from: http://clinicalepigeneticsjournal.biomedcentral.com/articles/10.1186/s13148-016-0303-5

Farahi N, Paige E, Balla J, Prudence E, Ferreira RC, Southwood M, et al. Neutrophil-mediated IL-6 receptor trans-signaling and the risk of chronic obstructive pulmonary disease and asthma. Human Molecular Genetics. 2017 Apr 15;26(8):1584–96.

Ewing G, Penfold C, Benson JA, Mahadeva R, Howson S, Burkin J, et al. Clinicians’ Views of Educational Interventions for Carers of Patients With Breathlessness Due to Advanced Disease: Findings From an Online Survey. Journal of Pain and Symptom Management. 2017 Feb;53(2):265–71.

Evangelou E, Warren HR, Mosen-Ansorena D, Mifsud B, Pazoki R, Gao H, et al. Genetic analysis of over one million people identifies 535 novel loci for blood pressure. 2017 Oct 11 [cited 2018 Jun 14]; Available from: http://biorxiv.org/lookup/doi/10.1101/198234

Di Angelantonio E, Thompson SG, Kaptoge S, Moore C, Walker M, Armitage J, et al. Efficiency and safety of varying the frequency of whole blood donation (INTERVAL): a randomised trial of 45 000 donors. The Lancet. 2017 Nov;390(10110):2360–71.

Cheung WA, Shao X, Morin A, Siroux V, Kwan T, Ge B, et al. Functional variation in allelic methylomes underscores a strong genetic contribution and reveals novel epigenetic alterations in the human epigenome. Genome Biology [Internet]. 2017 Dec [cited 2018 Jun 21];18(1). Available from: http://genomebiology.biomedcentral.com/articles/10.1186/s13059-017-1173-7

Burgess S, Zuber V, Valdes-Marquez E, Sun BB, Hopewell JC. Mendelian randomization with fine-mapped genetic data: Choosing from large numbers of correlated instrumental variables. Genetic Epidemiology. 2017 Dec;41(8):714–25.

Burgess S, Thompson SG. Interpreting findings from Mendelian randomization using the MR-Egger method. European Journal of Epidemiology. 2017 May;32(5):377–89.

Burgess S, Thompson DJ, Rees JMB, Day FR, Perry JR, Ong KK. Dissecting Causal Pathways Using Mendelian Randomization with Summarized Genetic Data: Application to Age at Menarche and Risk of Breast Cancer. Genetics. 2017 Aug 23;genetics.300191.2017.

Burgess S, Small DS, Thompson SG. A review of instrumental variable estimators for Mendelian randomization. Statistical Methods in Medical Research. 2017 Oct;26(5):2333–55.

Burgess S, Davey Smith G. Mendelian Randomization Implicates High-Density Lipoprotein Cholesterol–Associated Mechanisms in Etiology of Age-Related Macular Degeneration. Ophthalmology. 2017 Aug;124(8):1165–74.

Burgess S, Bowden J, Fall T, Ingelsson E, Thompson SG. Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants: Epidemiology. 2017 Jan;28(1):30–42.

Britton A, Bell S. The protective effects of moderate drinking: lies, damned lies, and… selection biases?: Commentaries. Addiction. 2017 Feb;112(2):218–9.

Bowden J, Burgess S, Smith GD. Difficulties in Testing the Instrument Strength Independent of Direct Effect Assumption in Mendelian Randomization. JAMA Cardiology. 2017 Aug 1;2(8):929.

BLUEPRINT Consortium, Ecker S, Chen L, Pancaldi V, Bagger FO, Fernández JM, et al. Genome-wide analysis of differential transcriptional and epigenetic variability across human immune cell types. Genome Biology [Internet]. 2017 Dec [cited 2018 Jun 21];18(1). Available from: http://genomebiology.biomedcentral.com/articles/10.1186/s13059-017-1156-8

Bhupathiraju SN, Di Angelantonio E, Danesh J, Hu FB. Commentary on “A meta-analysis but not a systematic review: an evaluation of the Global BMI Mortality Collaboration.” Journal of Clinical Epidemiology. 2017 Aug;88:30–2.

Bell S, Daskalopoulou M, Rapsomaniki E, George J, Britton A, Bobak M, et al. Association between clinically recorded alcohol consumption and initial presentation of 12 cardiovascular diseases: population based cohort study using linked health records. BMJ. 2017 Mar 22;j909.

Bell S, Mehta G, Moore K, Britton A. Ten-year alcohol consumption typologies and trajectories of C-reactive protein, interleukin-6 and interleukin-1 receptor antagonist over the following 12 years: a prospective cohort study. Journal of Internal Medicine. 2017 Jan;281(1):75–85.

Barrett J, Su L. Dynamic predictions using flexible joint models of longitudinal and time-to-event data: J. BARRETT AND L. SU. Statistics in Medicine. 2017 Apr 30;36(9):1447–60.

Barrett JK, Sweeting MJ, Wood AM. Dynamic Risk Prediction for Cardiovascular Disease: An Illustration Using the ARIC Study. In: Handbook of Statistics [Internet]. Elsevier; 2017 [cited 2018 Jun 14]. p. 47–65. Available from: http://linkinghub.elsevier.com/retrieve/pii/S0169716117300044

Barber RM, Fullman N, Sorensen RJD, Bollyky T, McKee M, Nolte E, et al. Healthcare Access and Quality Index based on mortality from causes amenable to personal health care in 195 countries and territories, 1990–2015: a novel analysis from the Global Burden of Disease Study 2015. The Lancet. 2017 Jul;390(10091):231–66.

Armbrecht G, Felsenberg D, Ganswindt M, Lunt M, Kaptoge SK, Abendroth K, et al. Degenerative inter-vertebral disc disease osteochondrosis intervertebralis in Europe: prevalence, geographic variation and radiological correlates in men and women aged 50 and over. Rheumatology. 2017 Jul 1;56(7):1189–99.

2016

Zanoni P, Khetarpal SA, Larach DB, Hancock-Cerutti WF, Millar JS, Cuchel M, et al. Rare variant in scavenger receptor BI raises HDL cholesterol and increases risk of coronary heart disease. Science. 2016 Mar 11;351(6278):1166–71.

Willeit P, Thompson SG, Agewall S, Bergström G, Bickel H, Catapano AL, et al. Inflammatory markers and extent and progression of early atherosclerosis: Meta-analysis of individual-participant-data from 20 prospective studies of the PROG-IMT collaboration. European Journal of Preventive Cardiology. 2016 Jan;23(2):194–205.

Willeit P, Kaptoge S, Welsh P, Butterworth AS, Chowdhury R, Spackman SA, et al. Natriuretic peptides and integrated risk assessment for cardiovascular disease: an individual-participant-data meta-analysis. The Lancet Diabetes & Endocrinology. 2016 Oct;4(10):840–9.

Wheeler GM, Sweeting MJ, Mander AP. AplusB: A Web Application for Investigating A + B Designs for Phase I Cancer Clinical Trials. Katoh M, editor. PLOS ONE. 2016 Jul 12;11(7):e0159026.

Ulug P, Powell JT, Sweeting MJ, Bown MJ, Thompson SG, SWAN Collaborative Group. Meta-analysis of the current prevalence of screen-detected abdominal aortic aneurysm in women: Prevalence of screen-detected abdominal aortic aneurysm in women. British Journal of Surgery. 2016 Aug;103(9):1097–104.

UK10K Consortium, Iotchkova V, Huang J, Morris JA, Jain D, Barbieri C, et al. Discovery and refinement of genetic loci associated with cardiometabolic risk using dense imputation maps. Nature Genetics. 2016 Nov;48(11):1303–12.

the INTERVAL Study, the UK10K Consortium, the Deciphering Developmental Disorders Study, Sifrim A, Hitz M-P, Wilsdon A, et al. Distinct genetic architectures for syndromic and nonsyndromic congenital heart defects identified by exome sequencing. Nature Genetics. 2016 Sep;48(9):1060–5.

Taylor AE, Burgess S, Ware JJ, Gage SH, Richards JB, Davey Smith G, et al. Investigating causality in the association between 25(OH)D and schizophrenia. Scientific Reports [Internet]. 2016 Sep [cited 2018 Jun 22];6(1). Available from: http://www.nature.com/articles/srep26496

Swedish Schizophrenia Study, INTERVAL Study, DDD Study, UK10 K Consortium, Singh T, Kurki MI, et al. Rare loss-of-function variants in SETD1A are associated with schizophrenia and developmental disorders. Nature Neuroscience. 2016 Apr;19(4):571–7.

Stunnenberg HG, Hirst M, Abrignani S, Adams D, de Almeida M, Altucci L, et al. The International Human Epigenome Consortium: A Blueprint for Scientific Collaboration and Discovery. Cell. 2016 Nov;167(5):1145–9.

Stevens J, Erber-Oakkar E, Cui Z, Cai J, Virani SS, Di Angelantonio E, et al. Cardiovascular disease risk by assigned treatment using the 2013 and 1998 obesity guidelines: Evaluation of Obesity Guidelines. Obesity. 2016 Jul;24(7):1554–60.

Staley JR, Blackshaw J, Kamat MA, Ellis S, Surendran P, Sun BB, et al. PhenoScanner: a database of human genotype–phenotype associations. Bioinformatics. 2016 Oct 15;32(20):3207–9.

Scott RA, Freitag DF, Li L, Chu AY, Surendran P, Young R, et al. A genomic approach to therapeutic target validation identifies a glucose-lowering GLP1R variant protective for coronary heart disease. Science Translational Medicine. 2016 Jun 1;8(341):341ra76-341ra76.

Podmore C, Meidtner K, Schulze MB, Scott RA, Ramond A, Butterworth AS, et al. Association of Multiple Biomarkers of Iron Metabolism and Type 2 Diabetes: The EPIC-InterAct Study. Diabetes Care. 2016 Apr;39(4):572–81.

Peters SA, van der Schouw YT, Wood AM, Sweeting MJ, Moons KG, Weiderpass E, et al. Parity, breastfeeding and risk of coronary heart disease: A pan-European case–cohort study. European Journal of Preventive Cardiology. 2016 Nov;23(16):1755–65.

Paul DS, Teschendorff AE, Dang MAN, Lowe R, Hawa MI, Ecker S, et al. Increased DNA methylation variability in type 1 diabetes across three immune effector cell types. Nature Communications. 2016 Nov 29;7:13555.

Pattaro C, Teumer A, Gorski M, Chu AY, Li M, Mijatovic V, et al. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function. Nature Communications. 2016 Jan 21;7:10023.

Patel R, Sweeting MJ, Powell JT, Greenhalgh RM. Endovascular versus open repair of abdominal aortic aneurysm in 15-years’ follow-up of the UK endovascular aneurysm repair trial 1 (EVAR trial 1): a randomised controlled trial. The Lancet. 2016 Nov;388(10058):2366–74.

Ng ES-W, Diaz-Ordaz K, Grieve R, Nixon RM, Thompson SG, Carpenter JR. Multilevel models for cost-effectiveness analyses that use cluster randomised trial data: An approach to model choice. Statistical Methods in Medical Research. 2016 Oct;25(5):2036–52.

Myocardial Infarction Genetics and CARDIoGRAM Exome Consortia Investigators. Coding Variation in ANGPTL4, LPL, and SVEP1 and the Risk of Coronary Disease. New England Journal of Medicine. 2016 Mar 24;374(12):1134–44.

Murray J, Burgess S, Zuccolo L, Hickman M, Gray R, Lewis SJ. Moderate alcohol drinking in pregnancy increases risk for children’s persistent conduct problems: causal effects in a Mendelian randomisation study. Journal of Child Psychology and Psychiatry. 2016 May;57(5):575–84.

Muka T, Oliver-Williams C, Kunutsor S, Laven JSE, Fauser BCJM, Chowdhury R, et al. Association of Age at Onset of Menopause and Time Since Onset of Menopause With Cardiovascular Outcomes, Intermediate Vascular Traits, and All-Cause Mortality: A Systematic Review and Meta-analysis. JAMA Cardiology. 2016 Oct 1;1(7):767.

Muka T, Oliver-Williams C, Colpani V, Kunutsor S, Chowdhury S, Chowdhury R, et al. Association of Vasomotor and Other Menopausal Symptoms with Risk of Cardiovascular Disease: A Systematic Review and Meta-Analysis. DeAngelis MM, editor. PLOS ONE. 2016 Jun 17;11(6):e0157417.

Muka T, Koromani F, Portilla E, O’Connor A, Bramer WM, Troup J, et al. The role of epigenetic modifications in cardiovascular disease: A systematic review. International Journal of Cardiology. 2016 Jun;212:174–83.

Mota BS, Riera R, Ricci MD, Barrett J, de Castria TB, Atallah ÁN, et al. Nipple- and areola-sparing mastectomy for the treatment of breast cancer. Cochrane Breast Cancer Group, editor. Cochrane Database of Systematic Reviews [Internet]. 2016 Nov 29 [cited 2018 Jun 21]; Available from: http://doi.wiley.com/10.1002/14651858.CD008932.pub3

Moore C, Bolton T, Walker M, Kaptoge S, Allen D, Daynes M, et al. Recruitment and representativeness of blood donors in the INTERVAL randomised trial assessing varying inter-donation intervals. Trials [Internet]. 2016 Dec [cited 2018 Jun 21];17(1). Available from: http://trialsjournal.biomedcentral.com/articles/10.1186/s13063-016-1579-7

Lotta LA, Sharp SJ, Burgess S, Perry JRB, Stewart ID, Willems SM, et al. Association Between Low-Density Lipoprotein Cholesterol–Lowering Genetic Variants and Risk of Type 2 Diabetes: A Meta-analysis. JAMA. 2016 Oct 4;316(13):1383.

Liao X, Norata GD, Polak JF, Stehouwer CD, Catapano A, Rundek T, et al. Normative values for carotid intima media thickness and its progression: Are they transferrable outside of their cohort of origin? European Journal of Preventive Cardiology. 2016 Jul;23(11):1165–73.

Leermakers ET, Darweesh SK, Baena CP, Moreira EM, Melo van Lent D, Tielemans MJ, et al. The effects of lutein on cardiometabolic health across the life course: a systematic review and meta-analysis1,2. The American Journal of Clinical Nutrition. 2016 Feb 1;103(2):481–94.

Lee YS, Cho Y, Burgess S, Davey Smith G, Relton CL, Shin S-Y, et al. Serum gamma-glutamyl transferase and risk of type 2 diabetes in the general Korean population: a Mendelian randomization study. Human Molecular Genetics. 2016 Sep 1;25(17):3877–86.

Lacey RE, Zilanawala A, Webb E, Abell J, Bell S. Parental absence in early childhood and onset of smoking and alcohol consumption before adolescence. Archives of Disease in Childhood. 2016 Oct 10;archdischild-2016-310444.

Khera AV, Won H-H, Peloso GM, Lawson KS, Bartz TM, Deng X, et al. Diagnostic Yield and Clinical Utility of Sequencing Familial Hypercholesterolemia Genes in Patients With Severe Hypercholesterolemia. Journal of the American College of Cardiology. 2016 Jun;67(22):2578–89.

Keenan T, Zhao W, Rasheed A, Ho WK, Malik R, Felix JF, et al. Causal Assessment of Serum Urate Levels in Cardiometabolic Diseases Through a Mendelian Randomization Study. Journal of the American College of Cardiology. 2016 Feb;67(4):407–16.

Jackson D, Law M, Barrett JK, Turner R, Higgins JPT, Salanti G, et al. Extending DerSimonian and Laird’s methodology to perform network meta-analyses with random inconsistency effects. Statistics in Medicine. 2016 Mar 15;35(6):819–39.

Imamura M, Takahashi A, Yamauchi T, Hara K, Yasuda K, Grarup N, et al. Genome-wide association studies in the Japanese population identify seven novel loci for type 2 diabetes. Nature Communications. 2016 Jan 28;7:10531.

Haycock PC, Burgess S, Wade KH, Bowden J, Relton C, Davey Smith G. Best (but oft-forgotten) practices: the design, analysis, and interpretation of Mendelian randomization studies. The American Journal of Clinical Nutrition. 2016 Apr 1;103(4):965–78.

Harrison EM, Gleadall NS, Ba X, Danesh J, Peacock SJ, Holmes M. Validation of self-administered nasal swabs and postage for the isolation of Staphylococcus aureus. Journal of Medical Microbiology. 2016 Dec 16;65(12):1434–7.

Gilchrist PT, Vrinceanu T, Béland S, Bacon SL, Ditto B. Disgust stimuli reduce heart rate but do not contribute to vasovagal symptoms. Journal of Behavior Therapy and Experimental Psychiatry. 2016 Jun;51:116–22.

Fuchsberger C, Flannick J, Teslovich TM, Mahajan A, Agarwala V, Gaulton KJ, et al. The genetic architecture of type 2 diabetes. Nature. 2016 Aug;536(7614):41–7.

Franco OH, Chowdhury R, Troup J, Voortman T, Kunutsor S, Kavousi M, et al. Use of Plant-Based Therapies and Menopausal Symptoms: A Systematic Review and Meta-analysis. JAMA. 2016 Jun 21;315(23):2554.

Fisher SA, Allen D, Dorée C, Naylor J, Di Angelantonio E, Roberts DJ. Interventions to reduce vasovagal reactions in blood donors: a systematic review and meta-analysis: Interventions to reduce blood donor vasovagal reactions. Transfusion Medicine. 2016 Feb;26(1):15–33.

Exome Aggregation Consortium, Lek M, Karczewski KJ, Minikel EV, Samocha KE, Banks E, et al. Analysis of protein-coding genetic variation in 60,706 humans. Nature. 2016 Aug;536(7616):285–91.

Evans JDW, Kaptoge S, Caleyachetty R, Di Angelantonio E, Lewis C, Parameshwar KJ, et al. Socioeconomic Deprivation and Survival After Heart Transplantation in England: An Analysis of the United Kingdom Transplant Registry. Circulation: Cardiovascular Quality and Outcomes. 2016 Nov;9(6):695–703.

Evans JDW, Girerd B, Montani D, Wang X-J, Galiè N, Austin ED, et al. BMPR2 mutations and survival in pulmonary arterial hypertension: an individual participant data meta-analysis. The Lancet Respiratory Medicine. 2016 Feb;4(2):129–37.

Epstein D, García-Mochón L, Kaptoge S, Thompson SG. Modeling the costs and long-term health benefits of screening the general population for risks of cardiovascular disease: a review of methods used in the literature. The European Journal of Health Economics. 2016 Nov;17(8):1041–53.

Eppinga RN, Hagemeijer Y, Burgess S, Hinds DA, Stefansson K, Gudbjartsson DF, et al. Identification of genomic loci associated with resting heart rate and shared genetic predictors with all-cause mortality. Nature Genetics. 2016 Dec;48(12):1557–63.

Emdin CA, Khera AV, Natarajan P, Klarin D, Won H-H, Peloso GM, et al. Phenotypic Characterization of Genetically Lowered Human Lipoprotein(a) Levels. Journal of the American College of Cardiology. 2016 Dec;68(25):2761–72.

Duffy PE, Morrison R, Kabyemela E, Fried M, Spottiswoode N, Drakesmith H, et al. Cord Blood Hepcidin: Cross-Sectional Correlates and Associations with Anemia, Malaria, and Mortality in a Tanzanian Birth Cohort Study. The American Journal of Tropical Medicine and Hygiene. 2016 Oct 5;95(4):817–26.

Di Angelantonio E, Bhupathiraju SN, Wormser D, Gao P, Kaptoge S, de Gonzalez AB, et al. Body-mass index and all-cause mortality: individual-participant-data meta-analysis of 239 prospective studies in four continents. The Lancet. 2016 Aug;388(10046):776–86.

Corbin LJ, Richmond RC, Wade KH, Burgess S, Bowden J, Smith GD, et al. BMI as a Modifiable Risk Factor for Type 2 Diabetes: Refining and Understanding Causal Estimates Using Mendelian Randomization. Diabetes. 2016 Oct;65(10):3002–7.

Collins R, Reith C, Emberson J, Armitage J, Baigent C, Blackwell L, et al. Interpretation of the evidence for the efficacy and safety of statin therapy. The Lancet. 2016 Nov;388(10059):2532–61.

Cheng Y-C, Stanne TM, Giese A-K, Ho WK, Traylor M, Amouyel P, et al. Genome-Wide Association Analysis of Young-Onset Stroke Identifies a Locus on Chromosome 10q25 Near HABP2. Stroke. 2016 Feb;47(2):307–16.

CHD Exome+ Consortium, ExomeBP Consortium, GoT2DGenes Consortium, T2D-GENES Consortium, Myocardial Infarction Genetics and CARDIoGRAM Exome Consortia, CKDGen Consortium, et al. Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci. Nature Genetics. 2016 Oct;48(10):1162–70.

CHARGE-Heart Failure Consortium, EchoGen Consortium, METASTROKE Consortium, GIANT Consortium, EPIC-InterAct Consortium, Lifelines Cohort Study, et al. Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension. Nature Genetics. 2016 Oct;48(10):1151–61.

CHARGE-EchoGen Consortium, CHARGE-HF Consortium, Wellcome Trust Case Control Consortium, Ehret GB, Ferreira T, Chasman DI, et al. The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals. Nature Genetics. 2016 Oct;48(10):1171–84.

Burgess S, Thompson SG, CRP CHD Genetics Collaboration. Methods for meta-analysis of individual participant data from Mendelian randomisation studies with binary outcomes. Statistical Methods in Medical Research. 2016 Feb;25(1):272–93.

Burgess S, Small DS. Predicting the Direction of Causal Effect Based on an Instrumental Variable Analysis: A Cautionary Tale. Journal of Causal Inference [Internet]. 2016 Jan 14 [cited 2018 Jun 21];0(0). Available from: https://www.degruyter.com/view/j/jci.ahead-of-print/jci-2015-0024/jci-2015-0024.xml

Burgess S, Harshfield E. Mendelian randomization to assess causal effects of blood lipids on coronary heart disease: lessons from the past and applications to the future. Current Opinion in Endocrinology & Diabetes and Obesity. 2016 Apr;23(2):124–30.

Burgess S, Davies NM, Thompson SG. Bias due to participant overlap in two-sample Mendelian randomization: Burgess et al. Genetic Epidemiology. 2016 Nov;40(7):597–608.

Burgess S, Butterworth AS, Thompson JR. Beyond Mendelian randomization: how to interpret evidence of shared genetic predictors. Journal of Clinical Epidemiology. 2016 Jan;69:208–16.

Britton A, O’Neill D, Bell S. Underestimating the Alcohol Content of a Glass of Wine: The Implications for Estimates of Mortality Risk. Alcohol and Alcoholism. 2016 Sep;51(5):609–14.

Britton A, Hardy R, Kuh D, Deanfield J, Charakida M, Bell S. Twenty-year trajectories of alcohol consumption during midlife and atherosclerotic thickening in early old age: findings from two British population cohort studies. BMC Medicine [Internet]. 2016 Dec [cited 2018 Jun 21];14(1). Available from: http://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-016-0656-9

Bowden J, Davey Smith G, Haycock PC, Burgess S. Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator. Genetic Epidemiology. 2016 May;40(4):304–14.

Batty GD, Stamatakis E, Bell S. Psychological Distress and Risk of Accidental Death in the General Population: Epidemiology. 2016 Nov;27(6):e38–40.

Batty GD, Bell S, Stamatakis E, Kivimäki M. Association of Systemic Inflammation With Risk of Completed Suicide in the General Population. JAMA Psychiatry. 2016 Sep 1;73(9):993.

Astle WJ, Elding H, Jiang T, Allen D, Ruklisa D, Mann AL, et al. The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease. Cell. 2016 Nov;167(5):1415-1429.e19.

2015

Global, regional, and national age–sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. The Lancet. 2015 Jan;385(9963):117–71.

Endovascular strategy or open repair for ruptured abdominal aortic aneurysm: one-year outcomes from the IMPROVE randomized trial. European Heart Journal. 2015 Aug 14;36(31):2061–9.

Cardiometabolic effects of genetic upregulation of the interleukin 1 receptor antagonist: a Mendelian randomisation analysis. The Lancet Diabetes & Endocrinology. 2015 Apr;3(4):243–53.

Zhang C, Doherty JA, Burgess S, Hung RJ, Lindström S, Kraft P, et al. Genetic determinants of telomere length and risk of common cancers: a Mendelian randomization study. Human Molecular Genetics. 2015 Sep 15;24(18):5356–66.

Zhang B, Shu X-O, Delahanty RJ, Zeng C, Michailidou K, Bolla MK, et al. Height and Breast Cancer Risk: Evidence From Prospective Studies and Mendelian Randomization. Journal of the National Cancer Institute. 2015 Nov;107(11):djv219.

Ye Z, Sharp SJ, Burgess S, Scott RA, Imamura F, Langenberg C, et al. Association between circulating 25-hydroxyvitamin D and incident type 2 diabetes: a mendelian randomisation study. The Lancet Diabetes & Endocrinology. 2015 Jan;3(1):35–42.

Wood AM, Royston P, White IR. The estimation and use of predictions for the assessment of model performance using large samples with multiply imputed data: The estimation and use of predictions for the assessment. Biometrical Journal. 2015 Jul;57(4):614–32.

Willeit P, Freitag DF, Laukkanen JA, Chowdhury S, Gobin R, Mayr M, et al. Asymmetric Dimethylarginine and Cardiovascular Risk: Systematic Review and Meta-Analysis of 22 Prospective Studies. Journal of the American Heart Association. 2015 May 28;4(6):e001833–e001833.

White IR, Wood AM. Statistical Challenges in Risk Prediction: Editorial. Biometrical Journal. 2015 Jul;57(4):529–30.

Vos T, Barber RM, Bell B, Bertozzi-Villa A, Biryukov S, Bolliger I, et al. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. The Lancet. 2015 Aug;386(9995):743–800.

Turner RM, Jackson D, Wei Y, Thompson SG, Higgins JPT. Predictive distributions for between-study heterogeneity and simple methods for their application in Bayesian meta-analysis: R. M. TURNER ET AL. Statistics in Medicine. 2015 Mar 15;34(6):984–98.

Thompson SG, Willeit P. UK Biobank comes of age. The Lancet. 2015 Aug;386(9993):509–10.

The LifeLines Cohort Study, The ADIPOGen Consortium, The AGEN-BMI Working Group, The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The GLGC, et al. Genetic studies of body mass index yield new insights for obesity biology. Nature. 2015 Feb;518(7538):197–206.

The EPIC-InterAct Consortium, Wessel J, Chu AY, Willems SM, Wang S, Yaghootkar H, et al. Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility. Nature Communications [Internet]. 2015 Dec [cited 2018 Jun 22];6(1). Available from: http://www.nature.com/articles/ncomms6897

The Coffee and Caffeine Genetics Consortium, International Parkinson’s Disease Genomics Consortium (IPDGC), North American Brain Expression Consortium (NABEC), UK Brain Expression Consortium (UKBEC), Cornelis MC, Byrne EM, et al. Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption. Molecular Psychiatry. 2015 May;20(5):647–56.

the CARDIoGRAMplusC4D Consortium, Nikpay M, Goel A, Won H-H, Hall LM, Willenborg C, et al. A comprehensive 1000 Genomes–based genome-wide association meta-analysis of coronary artery disease. Nature Genetics. 2015 Oct;47(10):1121–30.

The ADIPOGen Consortium, The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The GEFOS Consortium, The GENIE Consortium, The GLGC, et al. New genetic loci link adipose and insulin biology to body fat distribution. Nature. 2015 Feb;518(7538):187–96.

Sweeting MJ, Ulug P, Powell JT, Desgranges P, Balm R. Ruptured Aneurysm Trials: The Importance of Longer-term Outcomes and Meta-analysis for 1-year Mortality. European Journal of Vascular and Endovascular Surgery. 2015 Sep;50(3):297–302.

Sweeting MJ, Balm R, Desgranges P, Ulug P, Powell JT, Ruptured Aneurysm Trialists. Individual-patient meta-analysis of three randomized trials comparing endovascular versus open repair for ruptured abdominal aortic aneurysm: Endovascular versus open repair strategies for ruptured abdominal aortic aneurysm. British Journal of Surgery. 2015 Sep;102(10):1229–39.

Sudlow C, Gallacher J, Allen N, Beral V, Burton P, Danesh J, et al. UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age. PLOS Medicine. 2015 Mar 31;12(3):e1001779.

Silarova B, Lucas J, Butterworth AS, Di Angelantonio E, Girling C, Lawrence K, et al. Information and Risk Modification Trial (INFORM): design of a randomised controlled trial of communicating different types of information about coronary heart disease risk, alongside lifestyle advice, to achieve change in health-related behaviour. BMC Public Health [Internet]. 2015 Dec [cited 2018 Jun 22];15(1). Available from: http://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-015-2192-5

Rubbo B, Fitzpatrick NK, Denaxas S, Daskalopoulou M, Yu N, Patel RS, et al. Use of electronic health records to ascertain, validate and phenotype acute myocardial infarction: A systematic review and recommendations. International Journal of Cardiology. 2015 May;187:705–11.

Pirie A, Wood A, Lush M, Tyrer J, Pharoah PD. The effect of rare variants on inflation of the test statistics in case–control analyses. BMC Bioinformatics [Internet]. 2015 Dec [cited 2018 Jun 22];16(1). Available from: http://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-015-0496-1

Pennant M, Steur M, Moore C, Butterworth A, Johnson L. Comparative validity of vitamin C and carotenoids as indicators of fruit and vegetable intake: a systematic review and meta-analysis of randomised controlled trials. British Journal of Nutrition. 2015 Nov;114(09):1331–40.

On behalf of the European Vertebral Osteoporosis Study (EVOS) and European Prospective Osteoporosis Study (EPOS) Groups, Armbrecht G, Felsenberg D, Ganswindt M, Lunt M, Kaptoge SK, et al. Vertebral Scheuermann’s disease in Europe: prevalence, geographic variation and radiological correlates in men and women aged 50 and over. Osteoporosis International. 2015 Oct;26(10):2509–19.

Oliver-Williams CT, Steer PJ. Racial variation in the number of spontaneous abortions before a first successful pregnancy, and effects on subsequent pregnancies. International Journal of Gynecology & Obstetrics. 2015 Jun;129(3):207–12.

Oliver-Williams C, Fleming M, Wood A, Smith G. Previous miscarriage and the subsequent risk of preterm birth in Scotland, 1980-2008: a historical cohort study. BJOG: An International Journal of Obstetrics & Gynaecology. 2015 Oct;122(11):1525–34.

Nolan T, Dack C, Pal K, Ross J, Stevenson FA, Peacock R, et al. Patient reactions to a web-based cardiovascular risk calculator in type 2 diabetes: a qualitative study in primary care. British Journal of General Practice. 2015 Mar 1;65(632):e152–60.

NHLBI Exome Sequencing Project, Do R, Stitziel NO, Won H-H, Jørgensen AB, Duga S, et al. Exome sequencing identifies rare LDLR and APOA5 alleles conferring risk for myocardial infarction. Nature. 2015 Feb;518(7537):102–6.

Newton JN, Briggs ADM, Murray CJL, Dicker D, Foreman KJ, Wang H, et al. Changes in health in England, with analysis by English regions and areas of deprivation, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. The Lancet. 2015 Dec;386(10010):2257–74.

Nelson CP, Hamby SE, Saleheen D, Hopewell JC, Zeng L, Assimes TL, et al. Genetically Determined Height and Coronary Artery Disease. New England Journal of Medicine. 2015 Apr 23;372(17):1608–18.

Nead KT, Li A, Wehner MR, Neupane B, Gustafsson S, Butterworth A, et al. Contribution of common non-synonymous variants in PCSK1 to body mass index variation and risk of obesity: a systematic review and meta-analysis with evidence from up to 331 175 individuals. Human Molecular Genetics. 2015 Jun 15;24(12):3582–94.

Murray E, Dack C, Barnard M, Farmer A, Li J, Michie S, et al. HeLP-Diabetes: randomised controlled trial protocol. BMC Health Services Research [Internet]. 2015 Jun [cited 2018 Jun 22];15(1). Available from: http://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-015-1246-9

Murray CJL, Barber RM, Foreman KJ, Ozgoren AA, Abd-Allah F, Abera SF, et al. Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990–2013: quantifying the epidemiological transition. The Lancet. 2015 Nov;386(10009):2145–91.

Muka T, Imo D, Jaspers L, Colpani V, Chaker L, van der Lee SJ, et al. The global impact of non-communicable diseases on healthcare spending and national income: a systematic review. European Journal of Epidemiology. 2015 Apr;30(4):251–77.

Moraitis A, Oliver-Williams C, Wood A, Fleming M, Pell J, Smith G. Previous caesarean delivery and the risk of unexplained stillbirth: retrospective cohort study and meta-analysis. BJOG: An International Journal of Obstetrics & Gynaecology. 2015 Oct;122(11):1467–74.

McCloskey EV, Kanis JA, Odén A, Harvey NC, Bauer D, González-Macias J, et al. Predictive ability of heel quantitative ultrasound for incident fractures: an individual-level meta-analysis. Osteoporosis International. 2015 Jul;26(7):1979–87.

Mata DA, Ramos MA, Bansal N, Khan R, Guille C, Di Angelantonio E, et al. Prevalence of Depression and Depressive Symptoms Among Resident Physicians: A Systematic Review and Meta-analysis. JAMA. 2015 Dec 8;314(22):2373.

Mander AP, Sweeting MJ. A product of independent beta probabilities dose escalation design for dual-agent phase I trials. Statistics in Medicine. 2015 Apr 15;34(8):1261–76.

Lorenz MW, Price JF, Robertson C, Bots ML, Polak JF, Poppert H, et al. Carotid Intima-Media Thickness Progression and Risk of Vascular Events in People With Diabetes: Results From the PROG-IMT Collaboration. Diabetes Care. 2015 Oct;38(10):1921–9.

Leermakers ETM, Moreira EM, Kiefte-de Jong JC, Darweesh SKL, Visser T, Voortman T, et al. Effects of choline on health across the life course: a systematic review. Nutrition Reviews. 2015 Aug;73(8):500–22.

Kunutsor SK, Bakker SJL, Gansevoort RT, Chowdhury R, Dullaart RPF. Circulating Total Bilirubin and Risk of Incident Cardiovascular Disease in the General PopulationSignificance. Arteriosclerosis, Thrombosis, and Vascular Biology. 2015 Mar;35(3):716–24.

Klinck J, McNeill L, Di Angelantonio E, Menon DK. Predictors and outcome impact of perioperative serum sodium changes in a high-risk population. British Journal of Anaesthesia. 2015 Apr;114(4):615–22.

Kent DM, Dahabreh IJ, Ruthazer R, Furlan AJ, Weimar C, Serena J, et al. Anticoagulant vs. antiplatelet therapy in patients with cryptogenic stroke and patent foramen ovale: an individual participant data meta-analysis. European Heart Journal. 2015 Sep 14;36(35):2381–9.

Jones E, Sweeting MJ, Sharp SJ, Thompson SG. A method making fewer assumptions gave the most reliable estimates of exposure–outcome associations in stratified case–cohort studies. Journal of Clinical Epidemiology. 2015 Dec;68(12):1397–405.

Jenkins V, Fallowfield L, Langridge C, Barrett J, Ryan A, Jacobs I, et al. Psychosocial Factors Associated With Withdrawal From the United Kingdom Collaborative Trial of Ovarian Cancer Screening After 1 Episode of Repeat Screening: International Journal of Gynecological Cancer. 2015 Oct;25(8):1519–25.

Jaspers L, Colpani V, Chaker L, van der Lee SJ, Muka T, Imo D, et al. The global impact of non-communicable diseases on households and impoverishment: a systematic review. European Journal of Epidemiology. 2015 Mar;30(3):163–88.

IMPROVE Trial Investigators, IMPROVE Trial Investigators, Anjum A, Thompson L, Azhar B, Hughes C, et al. The effect of aortic morphology on peri-operative mortality of ruptured abdominal aortic aneurysm. European Heart Journal. 2015 Jun 1;36(21):1328–34.

Hu X, Deutsch AJ, Lenz TL, Onengut-Gumuscu S, Han B, Chen W-M, et al. Additive and interaction effects at three amino acid positions in HLA-DQ and HLA-DR molecules drive type 1 diabetes risk. Nature Genetics. 2015 Aug;47(8):898–905.

Harshfield E, Chowdhury R, Harhay MN, Bergquist H, Harhay MO. Association of hypertension and hyperglycaemia with socioeconomic contexts in resource-poor settings: the Bangladesh Demographic and Health Survey. International Journal of Epidemiology. 2015 Oct;44(5):1625–36.

Galesloot TE, Janss LL, Burgess S, Kiemeney LALM, den Heijer M, de Graaf J, et al. Iron and hepcidin as risk factors in atherosclerosis: what do the genes say? BMC Genetics [Internet]. 2015 Dec [cited 2018 Jun 22];16(1). Available from: http://www.biomedcentral.com/1471-2156/16/79

Franco OH, Muka T, Colpani V, Kunutsor S, Chowdhury S, Chowdhury R, et al. Vasomotor symptoms in women and cardiovascular risk markers: Systematic review and meta-analysis. Maturitas. 2015 Jul;81(3):353–61.

EPIC- InterAct Consortium, Burgess S, Scott RA, Timpson NJ, Davey Smith G, Thompson SG. Using published data in Mendelian randomization: a blueprint for efficient identification of causal risk factors. European Journal of Epidemiology. 2015 Jul;30(7):543–52.

Di Angelantonio E, Kaptoge S, Wormser D, Willeit P, Butterworth AS, Bansal N, et al. Association of Cardiometabolic Multimorbidity With Mortality. JAMA. 2015 Jul 7;314(1):52.

Davies NM, von Hinke Kessler Scholder S, Farbmacher H, Burgess S, Windmeijer F, Smith GD. The many weak instruments problem and Mendelian randomization. Statistics in Medicine. 2015 Feb 10;34(3):454–68.

Cooper NJ, Shtir CJ, Smyth DJ, Guo H, Swafford AD, Zanda M, et al. Detection and correction of artefacts in estimation of rare copy number variants and analysis of rare deletions in type 1 diabetes. Human Molecular Genetics. 2015 Mar 15;24(6):1774–90.

Chambers JC, Loh M, Lehne B, Drong A, Kriebel J, Motta V, et al. Epigenome-wide association of DNA methylation markers in peripheral blood from Indian Asians and Europeans with incident type 2 diabetes: a nested case-control study. The Lancet Diabetes & Endocrinology. 2015 Jul;3(7):526–34.

Chaker L, Falla A, van der Lee SJ, Muka T, Imo D, Jaspers L, et al. The global impact of non-communicable diseases on macro-economic productivity: a systematic review. European Journal of Epidemiology. 2015 May;30(5):357–95.

Cardiology Research Group, Chowdhury R, Alam DS, Fakir II, Adnan SD, Naheed A, et al. The Bangladesh Risk of Acute Vascular Events (BRAVE) Study: objectives and design. European Journal of Epidemiology. 2015 Jul;30(7):577–87.

Burgess S, Timpson NJ, Ebrahim S, Davey Smith G. Mendelian randomization: where are we now and where are we going? International Journal of Epidemiology. 2015 Apr 1;44(2):379–88.

Burgess S, Thompson SG. Multivariable Mendelian Randomization: The Use of Pleiotropic Genetic Variants to Estimate Causal Effects. American Journal of Epidemiology. 2015 Feb 15;181(4):251–60.

Burgess S, Daniel RM, Butterworth AS, Thompson SG, the EPIC-InterAct Consortium. Network Mendelian randomization: using genetic variants as instrumental variables to investigate mediation in causal pathways. International Journal of Epidemiology. 2015 Apr 1;44(2):484–95.

Brill SE, Law M, El-Emir E, Allinson JP, James P, Maddox V, et al. Effects of different antibiotic classes on airway bacteria in stable COPD using culture and molecular techniques: a randomised controlled trial. Thorax. 2015 Oct;70(10):930–8.

Brickley EB, Wood AM, Kabyemela E, Morrison R, Kurtis JD, Fried M, et al. Fetal Origins of Malarial Disease: Cord Blood Cytokines as Risk Markers for Pediatric Severe Malarial Anemia. Journal of Infectious Diseases. 2015 Feb 1;211(3):436–44.

Bowden J, Davey Smith G, Burgess S. Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression. International Journal of Epidemiology. 2015 Apr 1;44(2):512–25.

BIOS-consortium, CARDIo GRAMplusCD, LifeLines Cohort Study, The InterAct Consortium, Kato N, Loh M, et al. Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation. Nature Genetics. 2015 Nov;47(11):1282–93.

Barrett J, Diggle P, Henderson R, Taylor-Robinson D. Joint modelling of repeated measurements and time-to-event outcomes: flexible model specification and exact likelihood inference. Journal of the Royal Statistical Society: Series B (Statistical Methodology). 2015 Jan;77(1):131–48.

Ataklte F, Erqou S, Kaptoge S, Taye B, Echouffo-Tcheugui JB, Kengne AP. Burden of Undiagnosed Hypertension in Sub-Saharan Africa: A Systematic Review and Meta-Analysis. Hypertension. 2015 Feb 1;65(2):291–8.

AOGC Consortium, UK10K Consortium, Zheng H, Forgetta V, Hsu Y, Estrada K, et al. Whole‐genome sequencing identifies EN1 as a determinant of bone density and fracture. Nature. 2015 Oct;526(7571):112–7.

Anchala R, Kaptoge S, Pant H, Di Angelantonio E, Franco OH, Prabhakaran D. Evaluation of Effectiveness and Cost-Effectiveness of a Clinical Decision Support System in Managing Hypertension in Resource Constrained Primary Health Care Settings: Results From a Cluster Randomized Trial. Journal of the American Heart Association. 2015 Jan 5;4(1):e001213–e001213.

Ahmadi-Abhari S, Kaptoge S, Luben RN, Wareham NJ, Khaw K-T. Longitudinal association of C-reactive protein and Haemoglobin A1c over 13 years: the European Prospective Investigation into Cancer – Norfolk study. Cardiovascular Diabetology [Internet]. 2015 Dec

[cited 2018 Jun 22];14(1). Available from: http://www.cardiab.com/content/14/1/61Cardiovascular disease, chronic kidney disease, and diabetes mortality burden of cardiometabolic risk factors from 1980 to 2010: a comparative risk assessment. The Lancet Diabetes & Endocrinology. 2014 Aug;2(8):634–47.

Wormser D, Wood AM, Di Angelantonio E, Thompson SG, Danesh J. Metabolic mediators of body-mass index and cardiovascular risk. The Lancet. 2014 Jun;383(9934):2042–3.

Willeit P, Raschenberger J, Heydon EE, Tsimikas S, Haun M, Mayr A, et al. Leucocyte Telomere Length and Risk of Type 2 Diabetes Mellitus: New Prospective Cohort Study and Literature-Based Meta-Analysis. Lustig AJ, editor. PLoS ONE. 2014 Nov 12;9(11):e112483.

Wessler BS, Thaler DE, Ruthazer R, Weimar C, Di Tullio MR, Elkind MSV, et al. Transesophageal Echocardiography in Cryptogenic Stroke and Patent Foramen Ovale: Analysis of Putative High-Risk Features From the Risk of Paradoxical Embolism Database. Circulation: Cardiovascular Imaging. 2014 Jan 1;7(1):125–31.

Wang H, Liddell CA, Coates MM, Mooney MD, Levitz CE, Schumacher AE, et al. Global, regional, and national levels of neonatal, infant, and under-5 mortality during 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. The Lancet. 2014 Sep;384(9947):957–79.

Turner EL, Sweeting MJ, Lindfield RJ, DeAngelis D. Incidence estimation using a single cross-sectional age-specific prevalence survey with differential mortality. Statistics in Medicine. 2014 Feb 10;33(3):422–35.

Toni D, Di Angelantonio E, Di Mascio MT, Vinisko R, Bath PM, for the PRoFESS Study Group. Types of Stroke Recurrence in Patients with Ischemic Stroke: A Substudy from the PRoFESS Trial. International Journal of Stroke. 2014 Oct;9(7):873–8.

The Myocardial Infarction Genetics Consortium Investigators. Inactivating Mutations in NPC1L1 and Protection from Coronary Heart Disease. New England Journal of Medicine. 2014 Nov 27;371(22):2072–82.

Thaler DE, Ruthazer R, Weimar C, Mas J-L, Serena J, Di Angelantonio E, et al. Recurrent stroke predictors differ in medically treated patients with pathogenic vs other PFOs. Neurology. 2014 Jul 15;83(3):221–6.

Thaler DE, Ruthazer R, Weimar C, Serena J, Mattle HP, Nedeltchev K, et al. Determinants of antithrombotic choice for patent foramen ovale in cryptogenic stroke. Neurology. 2014 Nov 18;83(21):1954–7.

Smith GA, Fisher SA, Doree C, Di Angelantonio E, Roberts DJ. Oral or parenteral iron supplementation to reduce deferral, iron deficiency and/or anaemia in blood donors. Cochrane Injuries Group, editor. Cochrane Database of Systematic Reviews [Internet]. 2014 Jul 3 [cited 2018 Jun 22]; Available from: http://doi.wiley.com/10.1002/14651858.CD009532.pub2

2014

Cardiovascular disease, chronic kidney disease, and diabetes mortality burden of cardiometabolic risk factors from 1980 to 2010: a comparative risk assessment. The Lancet Diabetes & Endocrinology. 2014 Aug;2(8):634–47.

Wormser D, Wood AM, Di Angelantonio E, Thompson SG, Danesh J. Metabolic mediators of body-mass index and cardiovascular risk. The Lancet. 2014 Jun;383(9934):2042–3.

Smith GCS, Seaman SR, Wood AM, Royston P, White IR. Correcting for Optimistic Prediction in Small Data Sets. American Journal of Epidemiology. 2014 Aug 1;180(3):318–24.

Sharp SJ, Poulaliou M, Thompson SG, White IR, Wood AM. A Review of Published Analyses of Case-Cohort Studies and Recommendations for Future Reporting. Gagnier JJ, editor. PLoS ONE. 2014 Jun 27;9(6):e101176.

Rosthøj S, Henderson R, Barrett JK. Optimal Dynamic Treatment Strategies with Protection Against Missed Decision Points. Statistics in Biosciences. 2014 Nov;6(2):261–89.

Powell JT, Hinchliffe RJ, Thompson MM, Sweeting MJ, Ashleigh R, Bell R, et al. An Endovascular Strategy for Suspected Ruptured Abdominal Aortic Aneurysm Brings Earlier Home Discharge but Not Early Survival or Cost Benefits. European Journal of Vascular and Endovascular Surgery. 2014 Apr;47(4):333–4.

Pontikos N, Smyth DJ, Schuilenburg H, Howson JM, Walker NM, Burren OS, et al. A hybrid qPCR/SNP array approach allows cost efficient assessment of KIR gene copy numbers in large samples. BMC Genomics. 2014;15(1):274.

Pennells L, Kaptoge S, White IR, Thompson SG, Wood AM, Emerging Risk Factors Collaboration, et al. Assessing Risk Prediction Models Using Individual Participant Data From Multiple Studies. American Journal of Epidemiology. 2014 Mar 1;179(5):621–32.

Oei L, Hsu Y-H, Styrkarsdottir U, Eussen BH, de Klein A, Peters MJ, et al. A genome-wide copy number association study of osteoporotic fractures points to the 6p25.1 locus. Journal of Medical Genetics. 2014 Feb;51(2):122–31.

Oei L, Estrada K, Duncan EL, Christiansen C, Liu C-T, Langdahl BL, et al. Genome-wide association study for radiographic vertebral fractures: A potential role for the 16q24 BMD locus. Bone. 2014 Feb;59:20–7.

Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. The Lancet. 2014 Aug;384(9945):766–81.

Morris TP, White IR, Royston P, Seaman SR, Wood AM. Multiple imputation for an incomplete covariate that is a ratio. Statistics in Medicine. 2014 Jan 15;33(1):88–104.

Moraitis AA, Wood AM, Fleming M, Smith GCS. Birth Weight Percentile and the Risk of Term Perinatal Death: Obstetrics & Gynecology. 2014 Aug;124(2, PART 1):274–83.

Moore C, Sambrook J, Walker M, Tolkien Z, Kaptoge S, Allen D, et al. The INTERVAL trial to determine whether intervals between blood donations can be safely and acceptably decreased to optimise blood supply: study protocol for a randomised controlled trial. Trials [Internet]. 2014 Dec [cited 2018 Jun 22];15(1). Available from: http://trialsjournal.biomedcentral.com/articles/10.1186/1745-6215-15-363

Moayyeri A, Hsu Y-H, Karasik D, Estrada K, Xiao S-M, Nielson C, et al. Genetic determinants of heel bone properties: genome-wide association meta-analysis and replication in the GEFOS/GENOMOS consortium. Human Molecular Genetics. 2014 Jun 1;23(11):3054–68.

McCuskee S, Brickley EB, Wood A, Mossialos E. Malaria and Macronutrient Deficiency as Correlates of Anemia in Young Children: A Systematic Review of Observational Studies. Annals of Global Health. 2014 Nov;80(6):458–65.

Laukkanen JA, Di Angelantonio E, Khan H, Kurl S, Ronkainen K, Rautaharju P. T-Wave Inversion, QRS Duration, and QRS/T Angle as Electrocardiographic Predictors of the Risk for Sudden Cardiac Death. The American Journal of Cardiology. 2014 Apr;113(7):1178–83.

Laukkanen JA, Khan H, Kurl S, Willeit P, Karppi J, Ronkainen K, et al. Left Ventricular Mass and the Risk of Sudden Cardiac Death: A Population-Based Study. Journal of the American Heart Association. 2014 Nov 5;3(6):e001285–e001285.

Kunutsor SK, Burgess S, Munroe PB, Khan H. Vitamin D and high blood pressure: causal association or epiphenomenon? European Journal of Epidemiology. 2014 Jan;29(1):1–14.

Kaptoge S, Seshasai SRK, Gao P, Freitag DF, Butterworth AS, Borglykke A, et al. Inflammatory cytokines and risk of coronary heart disease: new prospective study and updated meta-analysis. European Heart Journal. 2014 Mar 1;35(9):578–89.

Jackson D, Barrett JK, Rice S, White IR, Higgins JPT. A design-by-treatment interaction model for network meta-analysis with random inconsistency effects: A MODEL FOR NETWORK META-ANALYSIS WITH RANDOM INCONSISTENCY EFFECTS. Statistics in Medicine. 2014 Sep 20;33(21):3639–54.

investigators I t. Endovascular or open repair strategy for ruptured abdominal aortic aneurysm: 30 day outcomes from IMPROVE randomised trial. BMJ. 2014 Jan 13;348(jan13 2):f7661–f7661.

IMPROVE trial investigators. Observations from the IMPROVE trial concerning the clinical care of patients with ruptured abdominal aortic aneurysm: Clinical care of patients with ruptured abdominal aortic aneurysm. British Journal of Surgery. 2014 Feb;101(3):216–24.

Haycock PC, Heydon EE, Kaptoge S, Butterworth AS, Thompson A, Willeit P. Leucocyte telomere length and risk of cardiovascular disease: systematic review and meta-analysis. BMJ. 2014 Jul 8;349(jul08 3):g4227–g4227.

Glover MJ, Kim LG, Sweeting MJ, Thompson SG, Buxton MJ. Cost-effectiveness of the National Health Service abdominal aortic aneurysm screening programme in England: Cost-effectiveness of abdominal aortic aneurysm screening programme. British Journal of Surgery. 2014 Jul;101(8):976–82.

Epstein D, Sculpher MJ, Powell JT, Thompson SG, Brown LC, Greenhalgh RM. Long-term cost-effectiveness analysis of endovascular versus open repair for abdominal aortic aneurysm based on four randomized clinical trials: Long-term cost-effectiveness of endovascular versus open aortic aneurysm repair. British Journal of Surgery. 2014 May;101(6):623–31.

Downes K, Marcovecchio ML, Clarke P, Cooper JD, Ferreira RC, Howson JMM, et al. Plasma concentrations of soluble IL-2 receptor α (CD25) are increased in type 1 diabetes and associated with reduced C-peptide levels in young patients. Diabetologia. 2014 Feb;57(2):366–72.

DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Asian Genetic Epidemiology Network Type 2 Diabetes (AGEN-T2D) Consortium, South Asian Type 2 Diabetes (SAT2D) Consortium, Mexican American Type 2 Diabetes (MAT2D) Consortium, Type 2 Diabetes Genetic Exploration by Next-generation sequencing in multi-Ethnic Samples (T2D-GENES) Consortium, Mahajan A, et al. Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility. Nature Genetics. 2014 Mar;46(3):234–44.

Di Angelantonio E, Gao P, Khan H, Butterworth AS, Wormser D, Kaptoge S, et al. Glycated Hemoglobin Measurement and Prediction of Cardiovascular Disease. JAMA. 2014 Mar 26;311(12):1225.

Crawford MJ, Sanatinia R, Barrett B, Byford S, Dean M, Green J, et al. The clinical effectiveness and cost-effectiveness of brief intervention for excessive alcohol consumption among people attending sexual health clinics: a randomised controlled trial (SHEAR). Health Technology Assessment [Internet]. 2014 May [cited 2018 Jun 22];18(30). Available from: https://www.journalslibrary.nihr.ac.uk/hta/hta18300/

Chowdhury R, Warnakula S, Kunutsor S, Crowe F, Ward HA, Johnson L, et al. Association of Dietary, Circulating, and Supplement Fatty Acids With Coronary Risk: A Systematic Review and Meta-analysis. Annals of Internal Medicine. 2014 Mar 18;160(6):398.

Chowdhury R, Harshfield E, Roy S, Flora MS, Akram KAHM, Bhuiya A, et al. Life, Health, and Safety of Industrial Workers in Bangladesh: Should They Be Driven by Economic Rationale or Moral Imperative? Journal of Occupational and Environmental Medicine. 2014 Apr;56(4):e12–3.

Chowdhury R, Kunutsor S, Vitezova A, Oliver-Williams C, Chowdhury S, Kiefte-de-Jong JC, et al. Vitamin D and risk of cause specific death: systematic review and meta-analysis of observational cohort and randomised intervention studies. BMJ. 2014 Apr 1;348(apr01 2):g1903–g1903.

Chowdhury R, Johnson L, Steur M. Trans Fatty Acid Isomers in Mortality and Incident Coronary Heart Disease Risk. Journal of the American Heart Association. 2014 Aug 27;3(4):e001195–e001195.

Burgess S, Granell R, Palmer TM, Sterne JAC, Didelez V. Lack of Identification in Semiparametric Instrumental Variable Models With Binary Outcomes. American Journal of Epidemiology. 2014 Jul 1;180(1):111–9.

Burgess S, Freitag DF, Khan H, Gorman DN, Thompson SG. Using Multivariable Mendelian Randomization to Disentangle the Causal Effects of Lipid Fractions. Onland-Moret NC, editor. PLoS ONE. 2014 Oct 10;9(10):e108891.

Burgess S, Davies NM, Thompson SG. Instrumental Variable Analysis with a Nonlinear Exposure–Outcome Relationship: Epidemiology. 2014 Nov;25(6):877–85.

Burgess S. Sample size and power calculations in Mendelian randomization with a single instrumental variable and a binary outcome. International Journal of Epidemiology. 2014 Jun 1;43(3):922–9.

Barrett JK, Henderson R, Rosthøj S. Doubly Robust Estimation of Optimal Dynamic Treatment Regimes. Statistics in Biosciences. 2014 Nov;6(2):244–60.

Barrett J, Jenkins V, Farewell V, Menon U, Jacobs I, Kilkerr J, et al. Psychological morbidity associated with ovarian cancer screening: results from more than 23 000 women in the randomised trial of ovarian cancer screening (UKCTOCS). BJOG: An International Journal of Obstetrics & Gynaecology. 2014 Aug;121(9):1071–9.

Baena CP, Olandoski M, Younge JO, Buitrago-Lopez A, Darweesh SKL, Campos N, et al. Effects of lifestyle-related interventions on blood pressure in low and middle-income countries: systematic review and meta-analysis. Journal of Hypertension. 2014 May;32(5):961–73.

Anchala R, Kannuri NK, Pant H, Khan H, Franco OH, Di Angelantonio E, et al. Hypertension in India: a systematic review and meta-analysis of prevalence, awareness, and control of hypertension. Journal of Hypertension. 2014 Jun;32(6):1170–7.

Ahmadi-Abhari S, Kaptoge S, Luben RN, Wareham NJ, Khaw K-T. Longitudinal Association of C-Reactive Protein and Lung Function Over 13 Years: The EPIC-Norfolk Study. American Journal of Epidemiology. 2014 Jan 1;179(1):48–56.

2013

Thompson S, Brown L, Sweeting M, Bown M, Kim L, Glover M, et al. Systematic review and meta-analysis of the growth and rupture rates of small abdominal aortic aneurysms: implications for surveillance intervals and their cost-effectiveness. Health Technology Assessment [Internet]. 2013 Sep [cited 2018 Jun 22];17(41). Available from: https://www.journalslibrary.nihr.ac.uk/hta/hta17410/

Thaler DE, Di Angelantonio E, Di Tullio MR, Donovan JS, Griffith J, Homma S, et al. The Risk of Paradoxical Embolism (RoPE) Study: Initial Description of the Completed Database. International Journal of Stroke. 2013 Dec;8(8):612–9.

Sanderson J, Thompson SG, White IR, Aspelund T, Pennells L. Derivation and assessment of risk prediction models using case-cohort data. BMC Medical Research Methodology [Internet]. 2013 Dec [cited 2018 Jun 22];13(1). Available from: http://bmcmedresmethodol.biomedcentral.com/articles/10.1186/1471-2288-13-113

Pierce BL, Burgess S. Efficient Design for Mendelian Randomization Studies: Subsample and 2-Sample Instrumental Variable Estimators. American Journal of Epidemiology. 2013 Oct 1;178(7):1177–84.

Peters B, Post F, Wierzbicki A, Phillips A, Power L, Das S, et al. Screening for chronic comorbid diseases in people with HIV: the need for a strategic approach: Screening for chronic comorbid diseases in people with HIV: the need for a strategic approach. HIV Medicine. 2013 Jan;14:1–11.

Oliver-Williams C, Fleming M, Monteath K, Wood AM, Smith GCS. Changes in Association between Previous Therapeutic Abortion and Preterm Birth in Scotland, 1980 to 2008: A Historical Cohort Study. Gulmezoglu M, editor. PLoS Medicine. 2013 Jul 9;10(7):e1001481.

Khan H, Kunutsor S, Franco OH, Chowdhury R. Vitamin D, type 2 diabetes and other metabolic outcomes: a systematic review and meta-analysis of prospective studies. Proceedings of the Nutrition Society. 2013 Feb;72(01):89–97.

Dumville JC, Hinchliffe RJ, Cullum N, Game F, Stubbs N, Sweeting M, et al. Negative pressure wound therapy for treating foot wounds in people with diabetes mellitus. In: The Cochrane Collaboration, editor. Cochrane Database of Systematic Reviews [Internet]. Chichester, UK: John Wiley & Sons, Ltd; 2013 [cited 2018 Jun 22]. Available from: http://doi.wiley.com/10.1002/14651858.CD010318.pub2

Davis D, Gregson J, Willeit P, Stephan B, Al-Shahi Salman R, Brayne C. Patent Foramen Ovale, Ischemic Stroke and Migraine: Systematic Review and Stratified Meta-Analysis of Association Studies. Neuroepidemiology. 2013;40(1):56–67.

Burgess S, White IR, Resche-Rigon M, Wood AM. Combining multiple imputation and meta-analysis with individual participant data. Statistics in Medicine. 2013 Nov 20;32(26):4499–514.

Burgess S, CRP CHD Genetics Collaboration. Identifying the odds ratio estimated by a two-stage instrumental variable analysis with a logistic regression model. Statistics in Medicine. 2013 Nov 30;32(27):4726–47.

Burgess S, Butterworth A, Thompson SG. Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data: Mendelian Randomization Using Summarized Data. Genetic Epidemiology. 2013 Nov;37(7):658–65.

Global Lipids Genetics C, Willer CJ, Schmidt EM, Sengupta S, et al. Discovery and refinement of loci associated with lipid levels. Nat Genet. 2013 Nov;45(11):1274-83.

Do R, Willer CJ, Schmidt EM, et al. Common variants associated with plasma triglycerides and risk for coronary artery disease. Nat Genet. 2013 Nov;45(11):1345-52.

Burgess S, Thompson SG. Use of allele scores as instrumental variables for Mendelian randomization. Int J Epidemiol. 2013 Aug;42(4): 1134-44.

Thanassoulis G, Campbell CY, Owens DS; CHARGE Extracoronary Calcium Working Group, et al. Genetic associations with valvular calcification and aortic stenosis. N Eng J Med 2013 Feb; 368(6) 503-12.

RESCAN Collaborators, Bown MJ, Sweeting MJ, Brown LC, Powell JT, Thompson SG. Surveillance intervals for small abdominal aortic aneurysms: a meta-anaylsis. JAMA. 2013 Feb; 309 (8): 806-13.

CARDIoGRAMplusC4D Consortium, Deloukas P, Kanoni S, Willenborg C, et al. Large-scale association analysis identifies new risk loci for coronary artery disease. Nat Genet. 2013 Jan;45(1):25-33.

Angelantonio E, Ford I, Sattar N. N-terminal pro-B-type natriuretic peptide and the prediction of primary cardiovascular events: results from 15-year follow-up of WOSCOPS. Eur Heart J 2013;(34) 443-50.

Ferguson JF, Matthews GJ, Townsend RR, Raj DS, Kanetsky PA, Budoff M, Fischer MJ, Rosas SE, Kanthety R, Rahman M, Master SR, Qasim A, Li M, Mehta NN,Shen H, Mitchell BD, O’Connell JR, Shuldiner AR, Ho WK, Young R, Rasheed A, Danesh J, He J, Kusek JW, Ojo AO, Flack J, Go AS, Gadegbeku CA, Wright JT Jr, Saleheen D, Feldman HI, Rader DJ, Foulkes AS, Reilly MP; CRIC Study Principal Investigators. Candidate gene association study of coronary artery calcification in chronic kidney disease: findings from the CRIC study (Chronic Renal Insufficiency Cohort). J Am Coll Cardiol. 2013 Aug 27;62(9):789-98.

Wormser D, White IR, Thompson SG, Wood AM. Within person variability in calculated riskfactors: comparing the aetiological association of adiposity ratios with risk of coronary heart disease. Int J Epidemiol.2013 Jun;42(3):849-59.

Oliver-Williams C, Heydon EE, Smith GC, Wood AM. Miscarriage and future maternal cardiovascular disease: a systematic review and meta-analysis. Heart. 2013 Nov;99(22):1636-44.

2012

The Emerging Risk Factors Collaboration: (writing committee: Di Angelantonio E, Gao P, Pennells L, Kaptoge S, Caslake M, Thompson A, Butterworth AS, Sarwar N, Wormser D, Saleheen D, Ballantyne CM, Psaty BM, Sundström J, Ridker PM, Nagel D, Gillum RF, Ford I, Ducimetiere P, Kiechl S, Koenig W, Dullaart RPF, Assmann G, D’Agostino RB, Dagenais GR, Cooper JA, Kromhout D, Onat A, Tipping RW, Gómez-de-la-Cámara A, Rosengren A, Sutherland SE, Gallacher J, Fowkes FGR, Casiglia E, Hofman A, Salomaa V, Barrett-Connor E, Clarke R, Brunner E, Jukema JW, Simons LA, Sandhu M, Wareham NJ, Khaw KT, Kauhanen J, Salonen JT, Howard WJ, Nordestgaard BG Wood AM, Thompson SG, Boekholdt SM, Sattar N, Packard C, Gudnason V, Danesh J). Lipid-related markers and cardiovascualar disease prediction. JAMA 2012;307:2499-506.

The Emerging Risk Factors Collaboration: (writing committee: Kaptoge S, Di Angelantonio E, Pennells L, Wood AM, White IR, Gao P, Walker M, Thompson A, Sarwar N, Caslake M, Butterworth AS, Amouyel P, Assmann G, Bakker SJL, Barr ELM, Barrett-Connor E, Benjamin MEJ, Björkelund C, Brenner H, Brunner E, Clarke R, Cooper JA, Cremer P, Cushman M, Dagenais GR, D’Agostino RB, Dankner R, Davey-Smith G, Deeg D, Dekker JM, Engström G, Folsom AR, Fowkes FGR, Gallacher J, Gaziano JM, Giampaoli S, Gillum RF, Hofman A, Howard BV, Ingelsson E, Iso H, Jørgensen T, Kiechl S, Kitamura A, Kiyohara Y, Koenig W, Kromhout D, Kuller LH, Lawlor DA, Meade TW, Nissinen A, Nordestgaard BG, Onat A, Panagiotakos DB, Psaty BM, Rodriguez B, Rosengren A, Salomaa V, Kauhanen J, Salonen JT, Shaffer JA, Shea S, Ford I, Stehouwer CDA, Strandberg TE, Tipping RW, Tosetto A, Wassertheil-Smoller S, Wennberg P, Westendorp RG, Whincup PH, Wilhelmsen L, Woodward M, Lowe GDO, Sattar N, Wareham NJ, Khaw K-T, Packard CJ, Gudnason V, Ridker PM, Pepys MB, Thompson SG, Danesh J). C-reactive protein, fibrinogen, and cardiovascular disease prediction. N Engl J Med 2012;367:1310-20.

van der Harst P, Zhang W, Mateo Leach, et al. Seventy-five genetic loci influencing the human red blood cell. Nature 2012;492:369-75.

The Emerging Risk Factors Collaboration: (writing committee: Wormser D, Di Angelantonio E, Kaptoge S, Wood A, Gao P, Sun Q, Wallidus G, Selmer R, Verschuren WMM, Bueno-de-Mesquita HB, Engström G, Ridker PM, Njølstrad I, Hiroyasu I,Holme I, Giampaoli S, Tunstall-Pedoe H, Gaziano JM, Brunner E, Kee F, Tosetto A, Meisinger C, Brenner H, Ducimetiere P, Whincup PH, Tippping RW, Ford I, Cremer P, Hofman A, Wihelmsen L, Clarke R, de Boer IH, Jukema JW, Ibanẽz AM, Lawlor DA, D’Agostino RB, Rodriguez B, Casiglia E, Stehouwer CDA, Simons LA, Nietert PJ, Barrett-Connor E, Panagiotakos DB, Björkelund C, Strandberg TE, Wassertheil-Smoller S, Blazer DG, Meade TW, Welin L, Svärdsudd K, Woodward M, Nissinen A, Kromhout D, Jørgensen T, Tilvis RS, Guralnik JM, Rosengren A, Taylor JO, Kiechl S, Dagenais GR, Fowkes FGR, Wallace RB, Khaw K-T, Shaffer JA, Visser M, Kauhanen J, Salonen JT, Gallacher J, Ben-Shlomo Y, Kitamura A, Sundström J, Kiyohara Y, Daimon M, Gómez de la Cámara A, Cooper JA, Onat A, Devereux R, Mukamal KJ, Dankner R, Knuiman MW, Crespo CJ, Gansevoort RT, Goldbourt U, Nordestgaard BG, Shaw JE, Mussolino M, Nakagawa H, Fletcher A, Kuller LH, Gillum RF, Gudnason V, Assmann G, Wald N, Jousilahti PR, Greenland P, Trevisan M, Ulmer H, Butterworth AS, Folsom AR, Davey-Smith G, Hu FB, Danesh J). Adult height and the risk of cause-specific death and vascular morbidity in 1 million people: individual participant meta-analysis. Int J Epidemiol 2012;41:1419-33.

Voight BF, Peloso GM, Orho-Melander M,et al. Plasma HDL cholesterol and risk of myocardial infarction: a mendelian randomisation study. Lancet 2012;380:572-80.

IL6R Genetics Consortium and The Emerging Risk Factors Collaboration: (writing committee: Sarwar N, Butterworth AS, Freitag DF, et al). Interleukin-6 receptor pathways in coronary disease: a collaborative meta-analysis of 82 studies. Lancet 2012;379:1205-13.

Burgess S, Butterworth A, Malarstig A, Thompson SG. Use of Mendelian randomisation to assess potential benefit of clinical intervention. BMJ 2012;345:e7325.

Lorenz MW, Polak JF, Kavousi M, Mathiesen EB, Völzke H, Tuomainen TP, Sander D, Plichart M, Catapano AL, Robertson CM, Kiechl S, Rundek T, Desvarieux M, Lind L, Schmid C, DasMahapatra P, Gao L, Ziegelbauer K, Bots ML, Thompson SG; PROG-IMT Study Group. Carotid intima-media thickness progression to predict cardiovascular events in the general population (the PROG-IMT collaborative project): a meta-analysis of individual particpant data. Lancet 2012;379:2053-62.

2011 – 2004

Diabetes mellitus, fasting glucose, and risk of cause-specific death. N Engl J Med, 2011

A genome-wide association study in Europeans and South Asians identifies five new loci for coronary artery disease. Nat Genet, 2011

C-reactive protein concentration and the vascular benefits of statin therapy: an analysis of 20 536 patients in the Heart Protection Study Lancet, 2011

Wormser D…[195 co-authors]…Danesh J. Separate and combined associations of body- mass index and abdominal adiposity with cardiovascular disease. Lancet 2011;377:1085-95.

Sarwar N…[251 co-authors]…Danesh J. Triglyceride-mediated pathways and coronary disease. Lancet 2010;375:1634-9.

C-reactive protein concentration and risk of coronary heart disease, stroke, and mortality: an individual participant meta-analysis. Lancet, 2010

Lipoprotein-associated phospholipase A(2) and risk of coronary disease, stroke, and mortality: collaborative analysis of 32 prospective studies. Lancet, 2010

Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies. Lancet, 2010

Lipoprotein(a) concentration and the risk of coronary heart disease, stroke, and nonvascular mortality. JAMA, 2009

Major lipids, apolipoproteins, and risk of vascular disease. JAMA, 2009

Association of cholesteryl ester transfer protein genotypes with CETP mass and activity, lipid levels, and coronary risk. JAMA, 2008

Association of apolipoprotein E genotypes with lipid levels and coronary risk. JAMA, 2007

Plasma fibrinogen level and the risk of major cardiovascular diseases and nonvascular mortality: an individual participant meta-analysis. JAMA, 2005

Antibiotics in the prevention of heart attacks. Lancet, 2005

C-reactive protein and other circulating markers of inflammation in the prediction of coronary heart disease. N Engl J Med, 2004

Four paraoxonase gene polymorphisms in 11212 cases of coronary heart disease and 12786 controls: meta-analysis of 43 studies. Lancet, 2004

Key Publications

#2018

#2017

2016

2015

2014

2013

2012

2011 – 2004

Contact the CEU

Vacancies @ CEU

CEU Publications

Research @ CEU

Study at Cambridge

Key Publications

#2018

#2017

2016

2015

2014

2013

2012

2011 – 2004

Contact the CEU

Vacancies @ CEU

CEU Publications

Research @ CEU

Study at Cambridge

About the University

Research at Cambridge