Key Publications
Key Publications by year: 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011-2004
#2019
Batty, G. D.; Gale, C. R.; Kivimäki, M.; Deary, I. J.; Bell, Steven. Generalisability of results from UK Biobank: comparison against a pooling of 18 prospective cohort studies with conventional response rates. British Medical Journal 2019 Dec
Lehallier B, Gate D, Schaum N, Nanasi T, Eun Lee S, Yousef H, Moran Losada P, Berdnik D, Keller A, Verghese J, Sathyan S, Franceschi C, Milman S, Barzilai N, Wyss-Coray T. Undulating Changes in Human Plasma Proteome Profiles Across the Lifespan. Nat Med , 25 (12), 1843-1850 Dec 2019. https://www.ncbi.nlm.nih.gov/pubmed/?term=31806903
Ritchie SC, Liu Y, Lambert SA, Mei Teo S, Scepanovic P, Marten J, Zahid S, Chaffin M, Abraham G, Ouwehand WH, Roberts DJ, Watkins NA, Di Angelantonio E, Soranzo N, Burgess S, Drew BG, Kathiresan S, Calkin AC, Khera AV, Danesh J, Butterworth AS, Inouye M. Integrative analysis of the plasma proteome and polygenic risk of cardiometabolic diseases. bioRxiv preprint first posted online Dec. 19, 2019. https://europepmc.org/article/PPR/PPR106400
Abraham G, Malik R, Yonova-Doing E, Salim A, Wang T, Danesh J, Butterworth AS, Howson JMM, Inouye M, Dichgans M. Genomic risk score offers predictive performance comparable to clinical risk factors for ischaemic stroke. Nat Commun. 2019 Dec 20;10(1):5819. https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1038%2Fs41467-019-13848-1.
Kettunen J, Holmes MV, Allara E, Anufrieva O, Ohukainen P, Oliver-Williams C, Wang Q, Tillin T, Hughes AD, Kähönen M, Lehtimäki T, Viikari J, Raitakari OT, Salomaa V, Järvelin MR, Perola M, Davey Smith G, Chaturvedi N, Danesh J, Di Angelantonio E, Butterworth AS, Ala-Korpela M. Lipoprotein signatures of cholesteryl ester transfer protein and HMG-CoA reductase inhibition. PLoS Biol. 2019 Dec 20;17(12):e3000572. eCollection 2019 Dec. https://www.ncbi.nlm.nih.gov/pubmed/?term=31860674
Shawon MSR, Hossain FB, Thomson B, Adhikary G, Chowdhury A, Chowdhury R, Townsend N. Trends in the prevalence of overweight among Bangladeshi children aged 24-59 months (2004-2014) by sex and socioeconomic status. Int J Obes (Lond). 2019 Dec 17. https://www.ncbi.nlm.nih.gov/pubmed/?term=31848457
Yuan S, Bäck M, Bruzelius M, Mason AM, Burgess S, Larsson S. Plasma Phospholipid Fatty Acids, FADS1 and Risk of 15 Cardiovascular Diseases: A Mendelian Randomisation Study. Nutrients. 2019 Dec 7;11(12). pii: E3001. https://www.ncbi.nlm.nih.gov/pubmed/?term=31817859
Hill WD, Davies NM, Ritchie SJ, Skene NG, Bryois J, Bell S, Di Angelantonio E, Roberts DJ, Xueyi S, Davies G, Liewald DCM, Porteous DJ, Hayward C, Butterworth AS, McIntosh AM, Gale CR, Deary IJ. Genome-wide analysis identifies molecular systems and 149 genetic loci associated with income. Nat Commun. 2019 Dec 16;10(1):5741. https://www.ncbi.nlm.nih.gov/pubmed/?term=31844048
Nath AP, Ritchie SC, Grinberg NF, Tang HH, Huang QQ, Inouye M et al. Multivariate Genome-wide Association Analysis of a Cytokine Network Reveals Variants with Widespread Immune, Haematological, and Cardiometabolic Pleiotropy. Am J Hum Genet. 2019 Dec 5;105(6):1076-1090. Epub 2019 Oct 31. https://www.ncbi.nlm.nih.gov/pubmed/?term=31679650
Lambert SA, Abraham G, Inouye M. Towards clinical utility of polygenic risk scores. Hum Mol Genet. 2019 Nov 21;28(R2):R133-R142. https://www.ncbi.nlm.nih.gov/pubmed/?term=31363735
Lyons PA, Peters JE, Alberici F, Liley J, Coulson RMR, Astle W, Baldini C, Bonatti F, Cid MC, Elding H, Emmi G, Epplen J, Guillevin L, European Vasculitis Genetics Consortium, et al. Genome-wide association study of eosinophilic granulomatosis with polyangiitis reveals genomic loci stratified by ANCA status. Nat Commun. 2019 Nov 12;10(1):5120. https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1038%2Fs41467-019-12515-9
Allara E, Morani G, Carter P, Gkatzionis A, Zuber V, Foley CN, Rees JM, Mason AM, Bell S, Gill D, Lindstroem S, Butterworth AS, Di Angelantonio E, Peters J, Burgess S. Genetic Determinants of Lipids and Cardiovascular Disease Outcomes: A Wide-angled Mendelian Randomization Investigation. Circ Genom Precis Med. 2019 Nov 22, e2574-8300. https://www.ncbi.nlm.nih.gov/pubmed/31756303
- Goto, J. Devine, C.G.N. Mascie-Taylor, J. Ormand, J. Abdul Jabber. The impact of an income-generating activities programme on children and mothers’ undernutrition in extreme poor rural Bangladeshi households. Public Health Nutr. 2019 Nov;22(16):3073-3082. https://www.ncbi.nlm.nih.gov/pubmed/31512574
de Mestral C, Bell S, Hamer M, Batty GD. Out-of-home care in childhood and biomedical risk factors in middle-age: national birth cohort study. Am J Hum Biol. 2019 Nov 5:e23343.
Teulings NEWD, Masconi KL, Ozanne SE, Aiken CE, Wood AM. Effect of interpregnancy weight change on perinatal outcomes: systematic review and meta-analysis. BMC Pregnancy Childbirth, 2019 Oct, 1471-2393
Browne A, Fisher SA, Masconi K, Smith G, Doree C, Chung R, Rahimzadeh M, Shah A, Alonso Rodriguez S, Bolton T, Kaptoge S, Wood A, Sweeting M, Roberts DJ. Donor Deferral Due to Low Hemoglobin-An Updated Systematic Review. Transfus Med Rev, 34 (1), 10-22, Jan 2020
Ritchie SC, Kettunen J, Brozynska M, Nath AP, Havulinna AS, Männistö S, Perola M, Salomaa V, Ala-Korpela M, Abraham G, Würtz P, Inouye M. Elevated serum alpha-1 antitrypsin is a major component of GlycA-associated risk for future morbidity and mortality. PLoS One. 2019 Oct 23;14(10):e0223692. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0223692
Tang, H. H., Sly, P. D., Holt, P. G., Holt, K., & Inouye, M. Systems biology and big data in asthma and allergy. Eur Respir J. 2019 Oct 16. pii: 1900844.
Kaptoge S, Pennells L, De Bacquer D, Cooney MT, Kavousi M, Stevens G, Riley LM, Savin S, Khan T, Altay S, Amouyel P, Assmann G, Bell S, Danesh J, Di Angelantonio E et al. World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions. Lancet Glob Health. 2019 Oct;7(10):e1332-e1345. https://www.sciencedirect.com/science/article/pii/S2214109X19303183?via%3Dihub
Tin A, Marten J, Halperin Kuhns VL, Li Y, Wuttke M, Kirsten H, Sieber KB, Qiu C, Gorski M, Yu Z, Giri A, et al. 2019, Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels. Nat Genet. 2019 Oct 2. https://www.ncbi.nlm.nih.gov/pubmed/31578528
Batty GD, Kivimaki M, Bell S. Comparison of risk factors for coronary heart disease morbidity versus mortality. Eur J Prev Cardiol. 2019 Oct 16:2047487319882512.
Kim L, Sweeting MJ, Epstein D, Venermo M, Rohlffs FEV, Greenhalgh RM, Optimising surveillance and re-intervention strategy following elective endovascular repair of abdominal aortic aneurysms. Ann Surg. 2019 Oct 7.
Gonzalez-Jaramillo V, Portilla-Fernandez E, Glisic M, Voortman T, Bramer W, Chowdhury R, Roks AJM, Jan Danser AH, Muka T, Nano J, Franco OH. The role of DNA methylation and histone modifications in blood pressure: a systematic review.J Hum Hypertens. 2019 Oct;33(10):703-715. https://www.ncbi.nlm.nih.gov/pubmed/31346255
Kaptoge S, Di Angelantonio E, Moore C, Walker M, Armitage J, Ouwehand WH, Roberts DJ, Danesh J, Thompson SG. Longer-term efficiency and safety of increasing the frequency of whole blood donation (INTERVAL): extension study of a randomised trial of 20 757 blood donors. Lancet Haematol. 2019 Oct;6(10):e510-e520. https://www.sciencedirect.com/science/article/pii/S2352302619301061?via%3Dihub
Kar SP, Brenner H, Giles GG, Huo D, Milne RL, Rennert G, Simard J, Zheng W, Burgess S, Pharoah PDP. Body Mass Index and the Association Between Low-Density Lipoprotein Cholesterol as Predicted by HMGCR Genetic Variants and Breast Cancer Risk. Int J Epidemiol 48 (5), 1727-1730, 2019 Oct 1
Cardona A, Day FR, Perry JRB, Loh M, Chu AY, Lehne B, Paul DS, Lotta LA, Stewart ID, Kerrison ND, Scott RA, Khaw K-T, Forouhi NG, Langenberg C, Liu C, Mendelson MM, Levy D, Beck S, Leslie RD, Dupuis J, Meigs JB, Kooner JS, Pihlajamäki J, Vaag A, Perfilyev A, Ling C, Hivert M-F, Chambers JC, Wareham NJ, Ong KK. Epigenome-Wide Association Study of Incident Type 2 Diabetes in a British Population: EPIC-Norfolk Study. Diabetes. 2019 Sep 10. pii: db180290. https://www.ncbi.nlm.nih.gov/pubmed/31506343
Tang HHF, Sly PD, Holt PG, Holt K, Inouye M. Systems biology and big data in asthma and allergy. European Respiratory Journal.
Rees JMB, Wood AM, Dudbridge F, Burgess S. Robust methods in Mendelian randomization via penalization of heterogeneous causal estimates. PLoS One. 2019 Sep 23;14(9):e0222362. https://www.ncbi.nlm.nih.gov/pubmed/31545794
Larsson SC, Burgess S, Michaëlsson K. Smoking and stroke: A mendelian randomization study. Ann Neurol. 2019 Sep;86(3):468-471. https://www.ncbi.nlm.nih.gov/pubmed/31237718
Su L, Li Q, Barrett JK, Daniels MJ, A Sensitivity Analysis Approach for Informative Dropout using Shared Parameter Models. Biometrics. 2019 Sep;75(3):917-926. https://www.ncbi.nlm.nih.gov/pubmed/30666621
Brown R, Traylor M, Burgess S, Sawcer S, Markus S. Do cerebral small vessel disease and multiple sclerosis share common mechanisms of white matter injury? A genetic study. Stroke. 2019 Aug;50(8):1968-1972. https://www.ahajournals.org/doi/full/10.1161/STROKEAHA.118.023649
Mazarello Paes V, Barrett JK, Taylor-Robinson DC, Chesters H, Charalampopoulos D, Dunger DB, Viner RM, Stephenson TJ. Effect of early glycaemic control on HbA1c tracking and development of vascular complications after 5 years of childhood onset type 1 diabetes: Systematic Review and Meta-analysis. Pediatric Diabetes, 2019 Aug;20(5):494-509. https://onlinelibrary.wiley.com/doi/full/10.1111/pedi.12850
Zeng L, Ntalla I, Kessler T, Kastrati A, Erdmann J, Danesh J, Watkins H, Samani NJ, Deloukas P, Schunkert H. Genetically modulated educational attainment and coronary disease risk. Eur Heart J. 2019 Aug 1;40(29):2413-2420. https://www.ncbi.nlm.nih.gov/pubmed/?term=Genetically+modulated+educational+attainment+and+coronary+disease+risk
Dam V, van der Schouw YT, Onland-Moret NC, Groenwold RHH, Peters SAE, Burgess S, Wood AM, Chirlaque M-D, et al. Association of menopausal characteristics and risk of coronary heart disease: a pan-European case-cohort analysis. Int J Epidemiol. 2019 Aug 1;48(4):1275-1285.
Teumer A, Li Y, Ghasemi S, Prins BP, Wuttke M, Hermle T, Giri A, Sieber KB, Qiu C, Kirsten H, Tin A, Chu AY, Bansal N, et al. Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria. Nat Commun. 2019 Sep 11;10(1):4130. https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1038%2Fs41467-019-11576-0
Rees JMB, Foley CN, Burgess S. Factorial Mendelian randomization: using genetic variants to assess interactions. Int J Epidemiol. 2019 Aug 1. pii: dyz161. https://www.ncbi.nlm.nih.gov/pubmed/31369124
Huang QQ, Tang HHF, Teo SM, Ritchie SC, Nath AP, Brozynska M, Salim A, Bakshi A, Holt BJ, Mok D, Khor CC, Sly PD, Holt PG, KE, Inouye M. Neonatal genetics of gene expression reveal the origins of autoimmune and allergic disease risk. bioRxiv.
Markus HS, Harshfield EL, Compter A, Kuker W, Kappelle LJ, Clifton A, van der Worp HB, Rothwell P, Algra A, Vertebral Stenosis Trialists’ Collaboration. Stenting for symptomatic vertebral artery stenosis: a preplanned pooled individual patient data analysis. Lancet Neurol. 2019 Jul;18(7):666-673. https://www.ncbi.nlm.nih.gov/pubmed/31130429
Méric G, Wick R, Watts S, Holt K, Inouye M. Correcting index databases improves metagenomic studies, BioRixv, 2019 July, https://www.biorxiv.org/content/10.1101/712166v1.full
Batty GD, Gale CR, Kivimäki M, Bell S. Assessment of Relative Utility of Underlying vs Contributory Causes of Death. JAMA Netw Open. 2019 Jul 3;2(7):e198024. https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2740063
Silarova B, Sharp S, Usher-Smith JA, Lucas J, Payne RA, Shefer G, Moore C, Girling C, Lawrence K, Tolkien Z, Walker M, Butterworth AS, Di Angelantonio E, Danesh J, Griffin SJ. Effect of communicating phenotypic and genetic risk of coronary heart disease alongside web-based lifestyle advice: the INFORM Randomised Controlled Trial. Heart. 2019 Jul;105(13):982-989. https://heart.bmj.com/content/105/13/982
Batty, G., Gale, C., Kivimäki, M., & Bell, S. Aetiological Utility of Different Placements of Cause of Mortality on Death Certificates in Multiple Cohort Studies Comprising 700,000 Individuals. JAMA Network Open.
Burgess S, Davey Smith G. How humans can contribute to Mendelian randomization analyses. Int J Epidemiol. 2019 Jun 1;48(3):661-664. https://www.ncbi.nlm.nih.gov/pubmed/31326987
Kamat MA, Blackshaw JA, Young R, Surendran P, Burgess S, Danesh J, Butterworth AS, Staley JR. PhenoScanner V2: an expanded tool for searching human genotype-phenotype associations. Bioinformatics. 2019 Jun. pii: btz469. https://www.ncbi.nlm.nih.gov/pubmed/31233103
Wuttke M, Li Y, Li M, Sieber KB, Feitosa MF, Gorski M, Tin A, Wang L, Chu AY, Hoppmann A, Kirsten H, et al. A catalog of genetic loci associated with kidney function from analyses of a million individuals. Nat Genet. 2019 Jun; 51(6):957-972. https://www.nature.com/articles/s41588-019-0407-x
Larsson SC, Bäck M, Rees JMB, Mason AM, Burgess S. Body mass index and body composition in relation to 14 cardiovascular conditions in UK Biobank: A Mendelian randomization study. Eur Heart J. 2019 Jun 13. pii: ehz388. https://academic.oup.com/eurheartj/advance-article/doi/10.1093/eurheartj/ehz388/5514076
Key TJ, Appleby PN, Bradbury KE, Sweeting M, Wood A, Johansson I, Kühn T, Steur M, Weiderpass E, Wennberg M, Wareham N, Butterworth A, Riboli E, Danesh J, et al. Consumption of Meat, Fish, Dairy Products, Eggs and Risk of Ischemic Heart Disease: A Prospective Study of 7198 Incident Cases Among 409,885 Participants in the Pan-European EPIC Cohort. Circulation. 2019 Jun 18;139(25):2835-2845. https://www.ahajournals.org/doi/10.1161/CIRCULATIONAHA.118.038813
Ntalla I, Kanoni S, Zeng L, Giannakopoulou O, Danesh J, Watkins H, Samani NJ, Deloukas P, Schunkert H; UK Biobank CardioMetabolic Consortium CHD Working Group. Genetic Risk Score for Coronary Disease Identifies Predispositions to Cardiovascular and Noncardiovascular Diseases. J Am Coll Cardiol. 2019 Jun 18;73(23):2932-2942. https://www.ncbi.nlm.nih.gov/pubmed/31196449
Harshfield EL, Koulman A, Ziemek D, Marney L, Fauman EB, Paul DS, Stacey D, Rasheed A, Lee J-J, Shah N, Jabeen S, Imran A, et al. An unbiased lipid phenotyping approach to study the genetic determinants of lipids and their association with coronary heart disease risk factors. J Proteome Res. 2019 Jun 7;18(6):2397-2410. https://pubs.acs.org/doi/10.1021/acs.jproteome.8b00786
Kar SP, Andrulis IL, Brenner H, Burgess S, Chang-Claude J, Considine D, Dörk T, Evans DGR, Gago-Domínguez M, et al. The association between weight at birth and breast cancer risk revisited using Mendelian randomisation. Eur J Epidemiol. 2019 Jun;34(6):591-600. https://link.springer.com/article/10.1007%2Fs10654-019-00485-7
Retamal R, Villegas R, Mascie-Taylor N. Associations of the age of ceasing breastfeeding and the age of starting formula-based feeding on nutritional status in Chilean children from birth to 3 years of age. Nature Publishing Group.
Gonzalez-Jaramillo V, Portilla-Fernandez E, Glisic M, Voortman T, Ghanbari M, Bramer W, Chowdhury R, Nijsten T, Dehghan A, Franco OH, Nano J. Epigenetics and Inflammatory Markers: A Systematic Review of the Current Evidence. Int J Inflam. 2019 May 8; 2019:6273680. https://www.ncbi.nlm.nih.gov/pubmed/31205673
Peloso GM, Nomura A, Khera AV, Chaffin M, Won H-H, Ardissino D, Danesh J, Schunkert H, Wilson JG, Samani N, Erdmann J, McPherson R, Watkins H, Saleheen D, McCarthy S, Teslovich TM, Leader JB, Kirchner HL, Marrugat J, Nohara A, Kawashiri M, Tada H, Dewey FE, Carey DJ, Baras A, Kathiresan S. Rare Protein-truncating Variants in APOB, Lower LDL-C, and Protection Against Coronary Heart Disease. Circ Genom Precis Med 2019 May;12(5):e002376. https://www.ahajournals.org/doi/10.1161/CIRCGEN.118.002376
Barrett JK, Huille R, Parker R, Yano Y, Griswold M. Estimating the Association Between Blood Pressure Variability and Cardiovascular Disease: An Application Using the ARIC Study. Stat Med , 38 (10), 1855-1868, 2019 May 10.
Sovio U, McBride N, Wood AM, Cook E, Gaccioli F, Charnock-Jones DS, Lawlor DA, Smith GCS. 4-Hydroxyglutamate is a Novel Predictor of Pre-eclampsia. Int J Epidemiol. 2019 May 16. pii: dyz098. https://www.ncbi.nlm.nih.gov/pubmed/31098639
Sofianopoulou, E., Kaptoge, S., Graf, S., Hadinnapola, C., Treacy, c., Di Angelantonio, E., Provencher, S, Morrell, N., TRAFFIC EXPOSURES, AIR POLLUTION AND OUTCOMES IN PULMONARY ARTERIAL HYPERTENSION: A UNITED KINGDOM COHORT STUDY ANALYSIS. Eur Respir J. 2019 May 30;53(5). pii: 1801429. https://www.ncbi.nlm.nih.gov/pubmed/30923185
Fermont JM, Masconi KL, Jensen MT, Ferrari R, Di Lorenzo VAP, Marott JM, Schuetz P; Watz H; Waschki B; Müllerova H; Polkey MI.; Wilkinson I B.; Wood AM. Biomarkers and clinical outcomes in COPD: a systematic review and meta-analysis, Thorax 2019. May;74(5):439-446. https://www.ncbi.nlm.nih.gov/pubmed/30617161
Yang Y, Van der Klaauw AA, Zhu L, Cacciottolo TM, He Y, Stadler LKJ, Wang C, Xu P, Saito K, Hinton Jr A, Yan X, Keogh JM, Henning E, Banton MC, Hendricks AE, Bochukova EG, Mistry V, Lawler KL, Liao L, Xu J, O’Rahilly S, Tong Q, UK10K Consortium, Barroso I, O’Malley BW, Farooqi IS, Xu Y. Steroid Receptor coactivator-1 Modulates the Function of Pomc Neurons and Energy Homeostasis. Nat Commun 10 (1), 1718, 2019 Apr 12
Sun L, Clarke R, Bennett D, Guo Y, Walters RG, Hill M, Parish S, Millwood IY, Bian Z, Chen Y, Yu C, Lv J, Collins R, Chen J, Peto R, Li L, Chen Z; China Kadoorie Biobank Collaborative Group; International Steering Committee; International Co-ordinating Centre, Oxford; National Co-ordinating Centre, Beijing; Regional Co-ordinating Centres. Causal associations of blood lipids with risk of ischemic stroke and intracerebral hemorrhage in Chinese adults. Nat Med. 2019 Apr;25(4):569-574.
Vissers LET, Sluijs I, van der Schouw YT, Forouhi NG, Imamura F, Burgess S, Barricarte A, Boeing H, Bonet C, Chirlaque MD, et al. Dairy Product Intake and Risk of Type 2 Diabetes in EPIC-InterAct: A Mendelian Randomization Study. Diabetes Care. 2019 Apr;42(4):568-575. https://www.ncbi.nlm.nih.gov/pubmed/30728219
Zwakenberg SR, Burgess S, Sluijs I, Weiderpass E; EPIC-CVD consortium, Beulens JWJ, van der Schouw YT. Circulating phylloquinone, inactive Matrix Gla protein and coronary heart disease risk: A two-sample Mendelian Randomization study. Clin Nutr. 2020 Apr;39(4):1131-1136. https://www.ncbi.nlm.nih.gov/pubmed/31103344
Osguei, N., & Mascie-Taylor, CN. Association of nutritional status with socio-economic and demographic variables of under five year old children. Med J Islam Repub Iran. 2019 Apr 8;33:28
Tikkanen E, Gustafsson S, Knowles JW, Perez M, Burgess S, Ingelsson E. Body composition and atrial fibrillation: a Mendelian randomization study. Eur Heart J. 2019 Apr 21;40(16):1277-1282. https://www.ncbi.nlm.nih.gov/pubmed/30721963
Justice AE, Karaderi T, Highland HM, Young KL, Graff M, Lu Y, Turcot V, Auer PL, Fine RS, Guo X, Schurmann C, Lempradl A, et al; CHD Exome+ Consortium; Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium; EPIC-CVD Consortium; ExomeBP Consortium; Global Lipids Genetic Consortium; GoT2D Genes Consortium; InterAct; ReproGen Consortium; T2D-Genes Consortium; MAGIC Investigators. Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution. Nat Genet. 2019 Mar;51(3):452-469
Shrine N, Guyatt AL, Erzurumluoglu AM, Jackson VE, Hobbs BD, Melbourne CA, Batini C, Fawcett KA, Song K, Sakornsakolpat P, et al. New Genetic Signals for Lung Function Highlight Pathways and Chronic Obstructive Pulmonary Disease Associations Across Multiple Ancestries 3, Understanding Society Scientific Group. Nat Genet 51 (6), 1067. Jun 2019
Khandaker GM, Zuber V, Rees JMB, Carvalho L, Mason AM, Foley CN, Gkatzionis A, Jones PB, Burgess S. Shared mechanisms between coronary heart disease and depression: findings from a large UK general population-based cohort. Mol Psychiatry. 2019 Mar 19.
Ference BA, Ray KK, Catapano AL, Ference TB, Burgess S, Neff DR, Oliver-Williams C, Wood AM, Butterworth AS, Di Angelantonio E, Danesh J, Kastelein JJP, Nicholls SJ. Mendelian Randomization Study of ACLY and Cardiovascular Disease. N Engl J Med. 2019 Mar 14;380(11):1033-1042. https://www.ncbi.nlm.nih.gov/pubmed/30865797
Marta GN, Barrett J, Porfirio GJM, Martimbianco ALC, Bevilacqua JLB, Poortmans P, Riera R. Effectiveness of different accelerated partial breast irradiation techniques for the treatment of breast cancer patients: Systematic review using indirect comparisons of randomized clinical trials. Rep Pract Oncol Radiother. 2019 Mar-Apr;24(2):165-174.
Sun YQ, Burgess S, Staley JR, Wood AM, Bell S, Kaptoge SK, Guo Q, Bolton T, Mason AM, Butterworth AS, Di Angelantonio E, Vie GÅ, Bjørngaard JH, Kinge JM, Chen Y, Mai XM. Body mass index and all-cause mortality in the HUNT and UK Biobank studies: Linear and non-linear Mendelian randomization analyses. BMJ. 2019 Mar 26;364:l1042.
Wittemans LBL, Lotta LA, Oliver-Williams C, Stewart ID, Surendran P, Karthikeyan S, Day FR, Koulman A, Imamura F, Zeng L, Erdmann J, Schunkert H, Khaw K-T, Griffin JL, Forouhi NG, Scott RA, Wood AM, Burgess S, Howson JMM, Danesh J, Wareham NJ, Butterworth AS, Langenberg C, Assessing the causal association of glycine with risk of cardio-metabolic diseases. Nat Commun. 2019 Mar 5;10(1):1060. https://www.ncbi.nlm.nih.gov/pubmed/30837465
Luo, S., Au Yeung, S. L., Zhao, J. V., Burgess, S., & Schooling, C. M. Association of genetically predicted testosterone with thromboembolism, heart failure, and myocardial infarction: mendelian randomisation study in UK Biobank. BMJ. 2019 Mar 6;364:l476.
Larsson, S. C., Allara, E., Mason, A., Michaëlsson, K., & Burgess, S. Thyroid Function and Dysfunction in Relation to 16 Cardiovascular Diseases: A Mendelian Randomization Study. Circ Genom Precis Med. 2019 Mar;12(3):e002468.
Morris JA, Kemp JP, Youlten SE, Laurent L, Logan JG, Chai RC, Vulpescu NA, Forgetta V, Kleinman A, Mohanty ST, et al. An atlas of genetic influences on osteoporosis in humans and mice. Nat Genet. 2019 Feb;51(2):258-266. https://www.ncbi.nlm.nih.gov/pubmed/30598549
van der Klaauw AA, Croizier S, Mendes de Oliveira E, Stadler LKJ, Park S, Kong Y, Banton MC, Tandon P, Hendricks AE, Keogh JM, Riley SE, Papadia S, Henning E, Bounds R, Bochukova EG, Mistry V, O’Rahilly S, Simerly RB; INTERVAL; UK10K Consortium, Minchin JEN, Barroso I, Jones EY, Bouret SG, Farooqi IS. Human Semaphorin 3 Variants Link Melanocortin Circuit Development and Energy Balance. Cell. 2019 Feb 7;176(4):729-742.e18.
Retamal R, Mascie-Taylor CGN. Trends of weight gain and prevalence of overweight and obesity from birth to three years of age. Obes Res Clin Pract. 2019 Jan – Feb;13(1):6-11. https://www.sciencedirect.com/science/article/pii/S1871403X18302254?via%3Dihub
Gregson J, Kaptoge S, Bolton T, Pennells L, Willeit P, Burgess S, Bell S, Sweeting M, Rimm EB, Kabrhel C, Zöller B, et al. Emerging Risk Factors Collaboration. Cardiovascular Risk Factors Associated With Venous Thromboembolism. JAMA Cardiol. 2019 Feb 1;4(2):163-173. https://www.ncbi.nlm.nih.gov/pubmed/?term=10.1001%2Fjamacardio.2018.4537
Paige E, Clément M, Lareyre F, Sweeting M, Raffort J, Grenier C, Finigan A, Harrison J, Peters JE, Sun BB, Butterworth AS, Danesh J, Freitag DF, Paul DS, Mallat Z et al. Interleukin-6 Receptor Signaling and Abdominal Aortic Aneurysm Growth Rates. Circ Genom Precis Med. 2019 Feb;12(2):e002413. https://www.ahajournals.org/doi/10.1161/CIRCGEN.118.002413
Alaa AM, Bolton T, Di Angelantonio E, Rudd JHF, van der Schaar M. Cardiovascular Disease Risk Prediction Using Automated Machine Learning: A Prospective Study of 423,604 UK Biobank Participants. PLoS One , 14 (5), e0213653 2019 May 15 eCollection
Krzyżanowska M, Mascie-Taylor CGN. Do Biomarkers Vary by social class, education and region and is migration important? Evidence from a cohort of British adults. J Biosoc Sci. 2019 Jan;51(1):95-117.
Emdin CA, Khera AV, Aragam K, Haas M, Chaffin M, Klarin D, Natarajan P, Bick A, Zekavat SM, Nomura A, Ardissino D, et al. DNA Sequence Variation in ACVR1C Encoding the Activin Receptor-Like Kinase 7 Influences Body Fat Distribution and Protects Against Type 2 Diabetes. Diabetes, 68 (1), 226-234, Jan 2019
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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.
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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
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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.
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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
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.
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
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.
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.
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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.
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White IR, Wood AM. Statistical Challenges in Risk Prediction: Editorial. Biometrical Journal. 2015 Jul;57(4):529–30.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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
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.
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.
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
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
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.
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, 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.
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