2013  |  2014  |  2015  |  2016  |  2017  |  2018  |  2019  |  

2019

  1. Shungin, D, Haworth, S, Divaris, K, Agler, C, Kamatani, Y, Lee, MK, Grinde, K, Hindy, G, Viivi Alaraudanjoki, V, Pesonen, P, Teumer, A, Holtfreter, B, Sakaue, S, Hirata, J, Yu, Y-H, Ridker, P, Giulianini, F, Chasman, DI, Magnusson, PKE, Sudo, T, Okada, Y, Völker, U, Kocher, T, Anttonen, V, Laitala, M-L, Orho-Melander, M, Sofer, T, Shaffer, JR, Vieira, A, Marazita, ML, Kubo, M, Furuichi, Y, North, K, Offenbacher, S, Ingelsson, E, Franks, PW, Timpson, N & Johansson, I. 2019. Genome-wide analysis of dental caries and periodontitis combining clinical and self-reported data. Nature Communications, vol. 10, 2773 (2019). https://doi.org/10.1038/s41467-019-10630-1
  2. Walker, V, Kehoe, P, Martin, R & Davies, N. 2019. Repurposing antihypertensive drugs for the prevention of Alzheimer’s disease: a Mendelian Randomization study. International Journal of Epidemiology.
  3. Li-Gao, R, Hughes, DA, le Cessie, S, de Mutsert, R, den Heijer, M, Rosendaal, FR, Willems van Dijk, K, Timpson, NJ & Mook-Kanamori, DO. 2019. Assessment of reproducibility and biological variability of fasting and postprandial plasma metabolite concentrations using 1H NMR spectroscopy. PLoS ONE, vol. 14, no. 6, pp. e0218549. https://doi.org/10.1371/journal.pone.0218549
  4. Thompson, WD, Tyrrell, J, Borges, C, Beaumont, RN, Knight, BA, Wood, AR, Ring, S, Hattersley, AT, Freathy, R & Lawlor, D. 2019. Association of maternal circulating 25(OH)D and calcium with birth weight: A mendelian randomisation analysis. PLoS Medicine, vol. 16, no. 6, e1002828. https://doi.org/10.1371/journal.pmed.1002828
  5. Julvez, J, Davey Smith, G, Ring, S & Grandjean, P. 2019. A Birth Cohort Study about the Genetic Modification of Prenatal Methylmercury Association with Child Cognitive Development. American Journal of Epidemiology.
  6. Madley-Dowd, P, Hughes, R, Tilling, K & Heron, J. 2019. The proportion of missing data should not be used to guide decisions on multiple imputation. Journal of Clinical Epidemiology, vol. 110, pp. 63-73. https://doi.org/10.1016/j.jclinepi.2019.02.016
  7. Haug, EB, Horn, J, Markovitz, AR, Fraser, A, Klykken, B, Dalen, H, Vatten, LJ, Romundstad, PR, Rich-Edwards, JW & Asvold, B. 2019. Association of Conventional Cardiovascular Risk Factors With Cardiovascular Disease After Hypertensive Disorders of Pregnancy: Analysis of the Nord-Trøndelag Health Study. JAMA Cardiology. https://doi.org/10.1001/jamacardio.2019.1746
  8. Ballardini, N, Kramer, MS, Oken, E, Henderson, J, Bogdanovich, N, Dahhou, M, Patel, R, Thompson, J, Vilchuck, C, Yang, S, Martin, R & Flohr, C. 2019. Associations of atopic dermatitis and asthma with child behaviour: Results from the PROBIT cohort. Clinical and Experimental Allergy. https://doi.org/10.1111/cea.13417
  9. Alves, AC, De Silva, M, Karhunen, V, Sovio, U, Das, S, Taal, HR, Warrington, NM, Lewin, A, Kaakinen, M, Cousminer, DL, Thiering, E, Timpson, N, Bond, TA, Lowry, E, Brown, C, Estivill, X, Lindi, V, Bradfield, JP, Geller, F, Speed, D, Coin, LJM, Loh, M, Barton, SJ, Beilin, LJ, Bisgaard, H, Bonnelykke, K, Alili, R, Hatoum, I, Schramm, K, Cartwright, R, Charles, M-A, Salerno, V, Clement, K, Claringbould, A, van Duijn, CM, Moltchanova, E, Frayling, T, Freathy, R, Lawlor, D, Ring, S, Davey Smith, G, McCarthy, MI, Järvelin, M-R, Early Growth Genetics (EGG) Consortium & BIOS Consortium. 2019. GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child and adult BMI. Advances in Medical Sciences.
  10. Donovan, J, Opmeer, B, Young, G, Mills, N, Martin, R, Lane, JA, Metcalfe, C, Peters, TJ, Davis, M, Turner, E, Walsh, E, Neal, D, Hamdy, FC & the ProtecT Study Group. 2019. Factors associated with trial recruitment, preferences and treatments received were elucidated in a comprehensive-cohort study. Journal of Clinical Epidemiology. https://doi.org/10.1016/j.jclinepi.2019.05.036
  11. Adams, CD. 2019. A brief tour of epidemiologic epigenetics and mental health. Current Opinion in Psychology, vol. 27, pp. 36-40. https://doi.org/10.1016/j.copsyc.2018.07.010
  12. Yücel, M, Oldenhof, E, Ahmed, S, Belin, D, Billieux, J, Bowden-Jones, H, Carter, A, Chamberlain, SR, Clark, L, Connor, J, Daglish, M, Dom, G, Dannon, P, Duka, T, Fernandez-Serrano, MJ, Field, M, Franken, I, Goldstein, RZ, Gonzalez, R, Goudriaan, A, Grant, JE, Gullo, MJ, Hester, R, Hodgins, D, Le Foll, B, Lee, RSC, Lingford-Hughes, A, Lorenzetti, V, Moeller, SJ, Munafò, MR, Odlaug, B, Potenza, MN, Segrave, R, Sjoerds, Z, Solowij, N, van den Brink, W, Van Holst, RJ, Voon, V, Wiers, R, Fontenelle, LF & Verdejo-Garcia, A. 2019. A transdiagnostic dimensional approach towards a neuropsychological assessment for addiction: an international Delphi consensus study. Addiction, vol. 114, no. 6, pp. 1095-1109. https://doi.org/10.1111/add.14424
  13. Dyer, M, Easey, K, Heron, J, Hickman, M & Munafo, M. 2019. Associations of child and adolescent anxiety with later alcohol use and disorders: a systematic review and meta‐analysis of prospective cohort studies. Addiction, vol. 114, no. 6, pp. 968-982. https://doi.org/10.1111/add.14575
  14. BIOS Consortium. 2019. Epigenome-wide meta-analysis of DNA methylation and childhood asthma. Journal of Allergy and Clinical Immunology, vol. 143, no. 6, pp. 2062-2074. https://doi.org/10.1016/j.jaci.2018.11.043
  15. Burden, AF & Timpson, N. 2019. Ethnicity, heart failure, atrial fibrillation and diabetes: collider bias. Heart, vol. 105, no. 11, pp. 814-816. https://doi.org/10.1136/heartjnl-2018-314467
  16. McQuire, C, Tilling, K, Hickman, M & De Vocht, F. 2019. Forecasting the 2021 local burden of population alcohol-related harms using Bayesian structural time-series. Addiction, vol. 114, no. 6, pp. 994-1003. https://doi.org/10.1111/add.14568
  17. Dixon, P, Davey Smith, G & Hollingworth, W. 2019. The Association Between Adiposity and Inpatient Hospital Costs in the UK Biobank Cohort. Applied Health Economics and Health Policy, vol. 17, no. 3, pp. 359-370. https://doi.org/10.1007/s40258-018-0450-2
  18. Gupta, V, Saxena, R, Walia, GK, Aggarwal, T, Dunn, WB, Relton, CL, Sovio, U, Papageorghiou, A, Davey Smith, G, Khadgawal, R & Sachdeva, MP. 2019. Gestational route to healthy birth (GaRBH): protocol for an Indian prospective cohort study. BMJ Open, vol. 9, no. 4, e025395. https://doi.org/10.1136/bmjopen-2018-025395
  19. Gruzieva, O, Xu, C-J, Yousefi, P, Relton, C, Merid, SK, Breton, CV, Gao, L, Volk, HE, Feinberg, JI, Ladd-Acosta, C, Bakulski, K, Auffray, C, Lemonnier, N, Plusquin, M, Ghantous, A, Herceg, Z, Nawrot, TS, Pizzi, C, Richiardi, L, Rusconi, F, Vineis, P, Kogevinas, M, Felix, JF, Duijts, L, den Dekker, HT, Jaddoe, VWV, Ruiz, JL, Bustamante, M, Antó, JM, Sunyer, J, Vrijheid, M, Gutzkow, KB, Grazuleviciene, R, Hernandez-Ferrer, C, Annesi-Maesano, I, Lepeule, J, Bousquet, J, Bergström, A, Kull, I, Söderhäll, C, Kere, J, BIOS Consortium, Gehring, U, Brunekreef, B, Just, AC, Wright, RJ, Peng, C, Gold, DR, Kloog, I, DeMeo, DL & Pershagen, G. 2019. Prenatal Particulate Air Pollution and DNA Methylation in Newborns: An Epigenome-Wide Meta-Analysis. Environmental Health Perspectives, vol. 127, no. 5, 057012. https://doi.org/10.1289/EHP4522
  20. Alhababi, N, Magnus, MC, Joinson, C & Fraser, A. 2019. A prospective study of the association between physical activity and lower urinary tract symptoms in parous middle-aged women: results from the Avon Longitudinal Study of Parents and Children. Journal of Urology. https://doi.org/10.1097/JU.0000000000000360
  21. Carnegie, R, Zheng, J, Sallis, H, Jones, H, Wade, K, Zammit, S, Evans, J, Munafo, M & Martin, R. 2019. Mendelian Randomization for Nutritional Psychiatry. Lancet Psychiatry.
  22. Dimou, N, Papadimitriou, N, Gill, D, Christakoudi, S, Murphy, N, Gunter, MJ, Travis, RC, Key, TJ, Fortner, R, Haycock, P, Lewis, S, Muir, K, Martin, R & Tsilidis, K. 2019. Sex hormone binding globulin and risk of breast cancer: a Mendelian randomization study. International Journal of Epidemiology.
  23. Carslake, D, Fraser, A, May, M, Palmer, T, Silventoinen, K, Tynelius, P, Lawlor, D & Davey Smith, G. 2019. Associations of mortality with own blood pressure using son’s blood pressure as an instrumental variable. Scientific Reports.
  24. Taylor, DL, Jackson, AU, Narisu, N, Hemani, G, Erdos, MR, Chines, PS, Swift, A, Idol, J, Didion, JP, Welch, RP, Kinnunen, L, Saramies, J, Lakka, TA, Laakso, M, Tuomilehto, J, Parker, SCJ, Koistinen, HA, Davey Smith, G, Boehnke, M, Scott, LJ, Birney, E & Collins, FS. 2019. Integrative analysis of gene expression, DNA methylation, physiological traits, and genetic variation in human skeletal muscle. Proceedings of the National Academy of Sciences of the United States of America, vol. 116, no. 22, pp. 10883-10888. https://doi.org/10.1073/pnas.1814263116
  25. Carter, A, Gill, D, Davies, N, Taylor, A, Tillmann, T, Vaucher, J, Wootton, R, Munafo, M, Hemani, G, Malik, R, Seshadri, S, Woo, D, Burgess, S, Davey Smith, G, Holmes, MV, Tzoulaki, I, Howe, L & Dehghan, A. 2019. Understanding the consequences of education inequality on cardiovascular disease: mendelian randomisation study. BMJ, vol. 365, l1855. https://doi.org/10.1136/bmj.l1855
  26. Dangardt, F, Charakida, M, Georgiopoulos, G, Chiesa, S, Rapala, A, Wade, K, Hughes, AD, Timpson, N, Pateras, K, Finer, N, Sattar, N, Davey Smith, G, Lawlor, D & Deanfield, J. 2019. Association between fat mass through adolescence and arterial stiffness: A population based study from The Avon Longitudinal Study of Parents and Children (ALSPAC). Lancet Child and Adolescent Health, vol. 3, no. 7, pp. 474-481. https://doi.org/10.1016/S2352-4642(19)30105-1
  27. Gibson, M, Munafò, MR, Taylor, AE & Treur, JL. 2019. Evidence for Genetic Correlations and Bidirectional, Causal Effects Between Smoking and Sleep Behaviors. Nicotine and Tobacco Research, vol. 21, no. 6, nty230, pp. 731-738. https://doi.org/10.1093/ntr/nty230
  28. Maynard, OM, McClernon, FJ, Oliver, JA & Munafò, MR. 2019. Using Neuroscience to Inform Tobacco Control Policy. Nicotine and Tobacco Research, vol. 21, no. 6, nty057, pp. 739-746. https://doi.org/10.1093/ntr/nty057
  29. Tzoulaki, I, Castagne, R, Boulange, CL, Karaman, I, Chekmeneva, E, Evangelou, E, Ebbels, TMD, Kaluarachchi, MR, Chadeau-Hyam, M, Mosen, D, Dehghan, A, Moayyeri, A, Dos Santos Ferreira, D, Guo, X, Rotter, JI, Taylor, KD, Kavousi, M, Herrington, D, Lindon, JC & Elliott, P. 2019. Serum metabolic signatures of coronary and carotid atherosclerosis and subsequent cardiovascular disease. European Heart Journal.
  30. Sovio, U, McBride, N, Wood, AM, Masconi, KL, Cook, E, Gaccioli, F, Charnock-Jones, DS, Lawlor, D & Smith, GCS. 2019. 4-hydroxyglutamate is a novel predictor of preeclampsia. International Journal of Epidemiology. https://doi.org/10.1093/ije/dyz098
  31. Richardson, T, Richmond, R, North, T-L, Hemani, G, Davey Smith, G, Sharp, G & Relton, C. 2019. An integrative approach to detect epigenetic mechanisms that putatively mediate the influence of lifestyle exposures on disease susceptibility. International Journal of Epidemiology.
  32. Kwong, A, Lopez-Lopez, J, Hammerton, G, Manley, D, Timpson, N, Leckie, G & Pearson, R. 2019. Genetic and Environmental Risk Factors Associated with Trajectories of Depression Symptoms from Adolescence to Young Adulthood. JAMA Network Open. https://doi.org/10.1001/jamanetworkopen.2019.6587
  33. Dunn, EC, Soare, TW, Zhu, Y, Simpkin, AJ, Suderman, MJ, Klengel, T, Smith, ADAC, Ressler, KJ & Relton, CL. 2019. Sensitive Periods for the Effect of Childhood Adversity on DNA Methylation: Results From a Prospective, Longitudinal Study. Biological Psychiatry, vol. 85, no. 10, pp. 838-849. https://doi.org/10.1016/j.biopsych.2018.12.023
  34. Wiklund, P, Karhunen, V, Richmond, R, Parmar, P, Rodriguez, A, De Silva, M, Wielscher, M, Rezwan, FI, Veijola, J, Herzig, K-H, Holloway, J, Relton, C, Sebert, S, Richardson, T & Marjo-Riitta, J. 2019. DNA methylation links prenatal smoking exposure to later life health outcomes in offspring. Clinical Epigenetics.
  35. De Silva, M, Borges, C, Hingorani, A, Engmann, J, Shah, T, Zhang, X, Luan, J, Langenberg, C, Wong, A, Kuh, D, Chambers, JC, Zhang, W, Jarvelin, M-R, Sebert, S, Auvinen, J, UCLEB Consortium, Gaunt, T & Lawlor, D. 2019. Liver function and risk of type 2 diabetes: bidirectional Mendelian randomization study. Diabetes. https://doi.org/10.2337/db18-1048
  36. Collison, L, Lewis, S, Reid, T, Matthews, J, Sebire, S, Thompson, J & Jago, R. 2019. Physical activity during the school holidays: Parent perceptions and practical considerations. International Journal of Environmental Research and Public Health, vol. 16, no. 10, 1697. https://doi.org/10.3390/ijerph16101697
  37. Kazmi, N, Sharp, G, Reese, S, Vehmeijer, FO, Lahti, J, Page, CM, Zhang, W, Rifas-Shiman, SL, Rezwan, FI, Simpkin, A, Burrows, K, Richardson, T, Dos Santos Ferreira, D, Fraser, A, Harmon, QE, Zhao, S, Jaddoe, VWV, Czamara, D, Binder, EB, Magnus, M, Håberg, SE, Nystad, W, Nohr, EA, Starling, AP, Kechris, KJ, Yang, IV, DeMeo, DL, Litonjua, A, Baccarelli, AA, Oken, E, Holloway, JW, Karmaus, W, Arshad, SH, Dabelea, D, Sørensen, TIA, Laivuori, H, Räikkönen, K, Felix, JF, London, SJ, Hivert, M-F, Gaunt, T, Lawlor, D & Relton, C. 2019. Hypertensive disorders of pregnancy and DNA methylation in newborns: Findings from the PACE Consortium. Hypertension.
  38. Sharp, G & Lawlor, D. 2019. Paternal impact on the life-course development of obesity and type 2 diabetes in the offspring. Diabetologia.
  39. Taylor, G, Taylor, A, Davies, N, Rai, D, Thomas, K, Martin, R, Munafo, M, Itani, T, Jones, T & Windmeijer, F. 2019. Prescribing prevalence, effectiveness, and mental health safety of smoking cessation medicines in patients with mental disorders. Nicotine and Tobacco Research.
  40. Vie, GÅ, Wootton, R, Bjørngaard, JH, Asvold, BO, Taylor, A, Gabrielsen, ME, Davey Smith, G, Romundstad, PR & Munafo, M. 2019. The effect of smoking intensity on all-cause and cause-specific mortality: – a Mendelian randomisation analysis. International Journal of Epidemiology. https://doi.org/10.1093/ije/dyz081
  41. Balling, M, Langsted, A, Afzal, S, Varbo, A, Davey Smith, G & Nordestgaard, BG. 2019. A third of nonfasting plasma cholesterol is in remnant lipoproteins: Lipoprotein subclass profiling in 9293 individuals. Atherosclerosis, vol. 286, pp. 97-104. https://doi.org/10.1016/j.atherosclerosis.2019.05.011
  42. Imboden, M, Wielscher, M, Rezwan, FI, Amaral, AFS, Schaffner, E, Jeong, A, Beckmeyer-Borowko, A, Harris, SE, Starr, JM, Deary, IJ, Flexeder, C, Waldenberger, M, Peters, A, Schulz, H, Chen, S, Sunny, SK, Karmaus, WJJ, Jiang, Y, Erhart, G, Kronenberg, F, Arathimos, R, Sharp, GC, Henderson, AJ, Fu, Y, Piirilä, P, Pietiläinen, KH, Ollikainen, M, Johansson, A, Gyllensten, U, de Vries, M, van der Plaat, DA, de Jong, K, Boezen, HM, Hall, IP, Tobin, MD, Jarvelin, M-R, Holloway, JW, Jarvis, D & Probst-Hensch, NM. 2019. Epigenome-wide association study of lung function level and its change. European Respiratory Journal. https://doi.org/10.1183/13993003.00457-2019
  43. McGowan, L, Davey Smith, G, Gaunt, T & Richardson, T. 2019. Integrating Mendelian randomization and multiple-trait colocalization to uncover cell-specific inflammatory drivers of autoimmune and atopic disease. Human Molecular Genetics.
  44. Jones, H, Hubbard, L, Mitchell, R, Jones, SA, Williams, NM, Zammit, S & Hall, J. 2019. Association of genetic risk for rheumatoid arthritis with cognitive and psychiatric phenotypes across childhood and adolescence. JAMA Network Open.
  45. Elias, MS, Wright, SC, Remenyi, J, Abbott, JC, Bray, SE, Cole, C, Edwards, S, Gierlinski, M, Glok, M, McGrath, JA, Nicholson, WV, Paternoster, L, Prescott, AR, Have, ST, Whitfield, PD, Lamond, AI & Brown, SJ. 2019. EMSY expression affects multiple components of skin barrier with relevance to atopic dermatitis. Journal of Allergy and Clinical Immunology. https://doi.org/10.1016/j.jaci.2019.05.024
  46. Sanderson, E, Davey Smith, G, Bowden, J & Munafo, M. 2019. Mendelian randomisation analysis of the effect of educational attainment and cognitive ability on smoking behaviour. Nature Communications.
  47. Korologou-Linden, R, Anderson, E, Jones, H, Davey Smith, G, Howe, L & Stergiakouli, E. 2019. Polygenic risk scores for Alzheimer’s disease, and academic achievement, cognitive and behavioural measures in children from the general population. International Journal of Epidemiology. https://doi.org/10.1093/ije/dyz080
  48. Millwood, IY, Walters, RG, Mei, XW, Guo, Y, Yang, L, Bian, Z, Bennett, DA, Chen, Y, Dong, C, Hu, R, Zhou, G, Yu, B, Jia, W, Parish, S, Clarke, R, Davey Smith, G, Collins, R, Holmes, MV, Li, L, Peto, R, Chen, Z & the China Kadoorie Biobank Collaborative Group. 2019. Conventional and genetic evidence on alcohol and vascular disease aetiology: a prospective study of 500 000 men and women in China. Lancet, vol. 393, no. 10183, pp. 1831-1842. https://doi.org/10.1016/S0140-6736(18)31772-0
  49. Sallis, H, Szekely, E, Neumann, A, Jolicoeur-Martineau, A, van IJzendoorn, M, Hillegers, M, Greenwood, C, Meaney, M, Steiner, M, Tiemeier, H, Wazana, A, Pearson, R & Evans, J. 2019. General psychopathology, internalising and externalising in children and functional outcomes in late adolescence. Journal of Child Psychology and Psychiatry. https://doi.org/10.1111/jcpp.13067
  50. Leppert, B, Havdahl, KA, Riglin, L, Jones, H, Zheng, J, Davey Smith, G, Tilling, K, Thapar, A, Reichborn-Kjennerud, T & Stergiakouli, E. 2019. Association of Maternal Neurodevelopmental Risk Alleles With Early-Life Exposures. JAMA Psychiatry. https://doi.org/10.1001/jamapsychiatry.2019.0774
  51. Renehan, AG, Martin, RM & Evans, DG. 2019. Cancer surveillance, obesity, and potential bias. The Lancet Public Health, vol. 4, no. 5, pp. e218. https://doi.org/10.1016/S2468-2667(19)30058-1
  52. Pearce, N, Vandenbroucke, JP & Lawlor, D. 2019. Causal Inference in Environmental Epidemiology: Old and New Approaches. Epidemiology, vol. 30, no. 3, pp. 311-316. https://doi.org/10.1097/EDE.0000000000000987
  53. EGG Consortium. 2019. Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors. Nature Genetics, vol. 51, no. 5, pp. 804-814. https://doi.org/10.1038/s41588-019-0403-1
  54. Hughes, RA, Davies, NM, Davey Smith, G & Tilling, K. 2019. Selection bias when estimating average treatment effects using one-sample instrumental variable analysis. Epidemiology, vol. 30, no. 3, pp. 350-357. https://doi.org/10.1097/EDE.0000000000000972
  55. Pagoni, P, Dimou, N, Murphy, N & Stergiakouli, E. 2019. Using Mendelian randomisation to assess causality in observational studies. Evidence-Based Mental Health, vol. 22, no. 2, pp. 67-71. https://doi.org/10.1136/ebmental-2019-300085
  56. Ridd, M, Edwards, L, Santer, M, Chalmers, JR, Waddell, L, Marriage, D, Muller, I, Roberts, K, Garfield, K, Coast, J, Selman, L, Clement, C, Shaw, ARG, Angier, E, Blair, P, Turner, N, Taylor, J, Kai, J & Boyle, RJ. 2019. TEST (Trial of Eczema allergy Screening Tests): protocol for feasibility randomised controlled trial of allergy tests in children with eczema, including economic scoping and nested qualitative study. BMJ Open, vol. 9, no. 5, e028428. https://doi.org/10.1136/bmjopen-2018-028428
  57. Lawson, D, Davies, N, Haworth, S, Ashraf, B, Howe, L, Crawford, A, Hemani, G, Davey Smith, G & Timpson, N. 2019. Is Population Structure in the genetic biobank era irrelevant, a challenge, or an opportunity?. Human Genetics. https://doi.org/10.1007/s00439-019-02014-8
  58. Richmond, R, Anderson, E, Dashti, HS, Jones, SE, Lane, JM, Strand, LB, Brumpton, B, Rutter, MK, Wood, AR, Straif, K, Relton, C, Munafo, M, Frayling, TM, Martin, R, Saxena, R, Weedon, MN, Lawlor, D & Davey Smith, G. 2019. Investigating causal relationships between sleep traits and risk of breast cancer: a Mendelian randomization study. BMJ.
  59. Tobias, J, Sayers, A, Deere, K, Heazell, AEP, Lawlor, D & Ireland, A. 2019. Breech presentation is associated with lower adolescent tibial bone strength. Osteoporosis International. https://doi.org/10.1007/s00198-019-04945-4
  60. Maynard, O. 2019. Addressing Health Disparities With Tobacco Policy Research. Nicotine and Tobacco Research. https://doi.org/10.1093/ntr/ntz061
  61. Küpers, LK, Monnereau, C, Sharp, GC, Yousefi, P, Salas, LA, Ghantous, A, Page, CM, Reese, SE, Wilcox, AJ, Czamara, D, Starling, AP, Novoloaca, A, Lent, S, Roy, R, Hoyo, C, Breton, CV, Allard, C, Just, AC, Bakulski, KM, Holloway, JW, Everson, TM, Xu, CJ, Huang, RC, van der Plaat, DA, Wielscher, M, Merid, SK, Ullemar, V, Rezwan, FI, Lahti, J, van Dongen, J, Langie, SAS, Richardson, TG, Magnus, MC, Nohr, EA, Xu, Z, Duijts, L, Zhao, S, Zhang, W, Plusquin, M, DeMeo, DL, Solomon, O, Heimovaara, JH, Jima, DD, Gao, L, Bustamante, M, Perron, P, Wright, RO, Hertz-Picciotto, I, Zhang, H, Karagas, MR, Gehring, U, Marsit, CJ, Beilin, LJ, Vonk, JM, Jarvelin, MR, Bergström, A, Örtqvist, AK, Ewart, S, Villa, PM, Moore, SE, Willemsen, G, Standaert, ARL, Håberg, SE, Sørensen, TIA, Taylor, JA, Räikkönen, K, Yang, IV, Kechris, K, Nawrot, TS, Silver, MJ, Gong, YY, Richiardi, L, Kogevinas, M, Litonjua, AA, Eskenazi, B, Huen, K, Mbarek, H, Maguire, RL, Dwyer, T, Vrijheid, M, Bouchard, L, Baccarelli, AA, Croen, LA, Karmaus, W, Anderson, D, de Vries, M, Sebert, S, Kere, J, Karlsson, R, Arshad, SH, Hämäläinen, E, Routledge, MN, Boomsma, DI, Feinberg, AP, Newschaffer, CJ, Govarts, E, Moisse, M, Fallin, MD, Melén, E, Prentice, AM, Kajantie, E, Almqvist, C, Oken, E, Dabelea, D, Boezen, HM, Melton, PE, Wright, RJ, Koppelman, GH, Trevisi, L, Hivert, MF, Sunyer, J, Munthe-Kaas, MC, Murphy, SK, Corpeleijn, E, Wiemels, J, Holland, N, Herceg, Z, Binder, EB, Davey Smith, G, Jaddoe, VWV, Lie, RT, Nystad, W, London, SJ, Lawlor, DA, Relton, CL, Snieder, H & Felix, JF. 2019. Meta-analysis of epigenome-wide association studies in neonates reveals widespread differential DNA methylation associated with birthweight. Nature Communications, vol. 10, no. 1, 1893. https://doi.org/10.1038/s41467-019-09671-3
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2018

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  2. Jiang, X, Dimou, NL, Al-Dabhani, K, Lewis, S, Martin, R, Haycock, P, Gunter, MJ, Key, TJ, Eeles, RA, Muir, K, Neal, D, Giles, GG, Giovannucci, EL, Stampfer, MJ, Pierce, B, Schildkraut, J, Andersen, S, Thompson, DJ, Zheng, W, Kraft, P & Tsilidis, K. 2018. Circulating vitamin D concentrations and risk of breast and prostate cancer: a Mendelian randomization study. International Journal of Epidemiology. https://doi.org/10.1093/ije/dyy284
  3. Markovitz, AR, Stuart, JJ, Horn, J, Williams, PL, Rimm, EB, Missmer, SA, Tanz, LJ, Haug, EB, Fraser, A, Timpka, S, Klykken, B, Dalen, H, Romundstad, PR, Rich-Edwards, JW & Åsvold, BO. 2018. Does pregnancy complication history improve cardiovascular disease risk prediction? Findings from the HUNT study in Norway. European Heart Journal. https://doi.org/10.1093/eurheartj/ehy863
  4. Sillero Rejon, C, Attwood, A, Blackwell, A, Ibáñez-Zapata, J-A, Munafo, M & Maynard, O. 2018. Alcohol pictorial health warning labels: the impact of self-affirmation and health warning severity. BMC Public Health, vol. 18, no. 1, 1403. https://doi.org/10.1186/s12889-018-6243-6
  5. Hayward, TA, Zhu, G, Warrington, NM, Wong, Y, Ryan, RYM, Murray, AM, Haigh, O, Martin, NG, Miles, JJ & Evans, DM. 2018. Antibody response to common human viruses is shaped by genetic factors. Journal of Allergy and Clinical Immunology. https://doi.org/10.1016/j.jaci.2018.11.039
  6. Bell, J, Carslake, D, O'Keeffe, L, Frysz, M, Howe, L, Hamer, M, Wade, K, Timpson, N & Davey Smith, G. 2018. Associations of body mass and fat indexes with cardiometabolic traits. Journal of the American College of Cardiology, vol. 72, no. 24, pp. 3142-3154. https://doi.org/10.1016/j.jacc.2018.09.066
  7. Bowden, J, Del Greco, FM, Minelli, C, Zhao, Q, Lawlor, D, Sheehan, N, Thompson, J & Davey Smith, G. 2018. Improving the accuracy of two-sample summary data Mendelian randomization: moving beyond the NOME assumption. International Journal of Epidemiology. https://doi.org/10.1093/ije/dyy258
  8. Mahmoud, O, Granell, R, Tilling, K, Minelli, C, Garcia-Aymerich, J, Holloway, JW, Custovic, A, Jarvis, D, Sterne, J & Henderson, J. 2018. Association of Height Growth in Puberty with Lung Function: A Longitudinal Study. American Journal of Respiratory and Critical Care Medicine, vol. 198, no. 12, pp. 1539-1548. https://doi.org/10.1164/rccm.201802-0274OC
  9. Mitchell, R, Paternoster, L & Davey Smith, G. 2018. Mendelian randomization in case only studies: a promising approach to be applied with caution. American Journal of Cardiology, vol. 122, no. 12, pp. 2169-2171. https://doi.org/10.1016/j.amjcard.2018.09.035
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  11. Sanderson, E, Davey Smith, G, Windmeijer, F & Bowden, J. 2018. An examination of multivariable Mendelian randomization in the single sample and two-sample summary data settings. International Journal of Epidemiology. https://doi.org/10.1093/ije/dyy262
  12. Pearson, R, Culpin, I, Loret de Mola, C, Quevedo, L, Murray, J, Matijasevich, A, Tilling, K, C Barros, F, Stein, A & L Horta, B. 2018. Transition to parenthood and mental health at 30 years: a prospective comparison of mothers and fathers in a large Brazilian birth cohort. Archives of Women's Mental Health. https://doi.org/10.1007/s00737-018-0925-z
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2017

  1. Macdonald-Wallis, C, Solomon-Moore, E, Sebire, SJ, Thompson, JL, Lawlor, DA & Jago, R. 2017. A longitudinal study of the associations of children’s body mass index and physical activity with blood pressure. PLoS ONE, vol. 12, no. 12, e0188618. https://doi.org/10.1371/journal.pone.0188618
  2. Cornish, R, Macleod, J, Carpenter, J & Tilling, K. 2017. Multiple imputation using linked proxy outcome data resulted in important bias reduction and efficiency gains: A simulation study. Emerging Themes in Epidemiology, vol. 14, 14. https://doi.org/10.1186/s12982-017-0068-0
  3. Skaaby, T, Taylor, AE, Jacobsen, RK, Møllehave, LT, Friedrich, N, Thuesen, BH, Shabanzadeh, DM, Paternoster, L, Völker, U, Nauck, M, Völzke, H, Munafò, M, Hansen, T, Pedersen, O, Jørgensen, T, Grarup, N & Linneberg, A. 2017. Associations of genetic determinants of vitamin B12 and folate status with hay fever and asthma: a Mendelian randomization meta-analysis. European Journal of Clinical Nutrition. https://doi.org/10.1038/s41430-017-0037-2
  4. Wren, Y, Humphries, K, Stock, NM, Rumsey, N, Lewis, S, Davies, A, Bennett, R & Sandy, J. 2017. Setting up a cohort study in speech and language therapy: lessons from The UK Cleft Collective Speech and Language (CC-SL) study. International Journal of Language and Communication Disorders. https://doi.org/10.1111/1460-6984.12364
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  6. Peters, SE, Lumsden, J, Peh, OH, Penton-Voak, I, Munafo, M & Robinson, OJ. 2017. Cognitive bias modification for facial interpretation: A randomized controlled trial of transfer to self-report and cognitive measures in a healthy sample. Royal Society Open Science, vol. 4, no. 12, 170681. https://doi.org/10.1098/rsos.170681
  7. Jagoda, E, Lawson, DJ, Wall, JD, Lambert, D, Muller, C, Westaway, M, Leavesley, M, Capellini, TD, Mirazón Lahr, M, Gerbault, P, Thomas, MG, Migliano, AB, Willerslev, E, Metspalu, M & Pagani, L. 2017. Disentangling Immediate Adaptive Introgression from Selection on Standing Introgressed Variation in Humans. Molecular Biology and Evolution. https://doi.org/10.1093/molbev/msx314
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  11. Munafo, MR. 2017. Marcus Munafo:. There's this conspiracy of silence around how science really works'
  12. Walker, VM, Smith, GD, Davies, NM & Martin, RM. 2017. Mendelian randomization: A novel approach for the prediction of adverse drug events and drug repurposing opportunities. International Journal of Epidemiology, vol. 46, no. 6, pp. 2078-2089. https://doi.org/10.1093/ije/dyx207
  13. Millard, LAC, Tilling, K, Lawlor, DA, Flach, PA & Gaunt, TR. 2017. Physical activity phenotyping with activity bigrams, and their association with BMI. International Journal of Epidemiology, vol. 46, no. 6, dyx093, pp. 1857-1870. https://doi.org/10.1093/ije/dyx093
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  15. Hemani, G, Tilling, K & Davey Smith, G. 2017. Correction: Orienting the causal relationship between imprecisely measured traits using GWAS summary data. PLoS Genetics, vol. 13, no. 12, pp. e1007149. https://doi.org/10.1371/journal.pgen.1007149
  16. Faber, BG, Baird, D, Gregson, CL, Gregory, JS, Barr, RJ, Aspden, RM, Lynch, J, Nevitt, MC, Lane, NE, Orwoll, E, Tobias, JH & Osteoporotic Fractures in Men (MrOS) Study Research Group. 2017. DXA-derived hip shape is related to osteoarthritis: findings from in the MrOS cohort. Osteoarthritis and Cartilage, vol. 25, no. 12, pp. 2031-2038. https://doi.org/10.1016/j.joca.2017.09.006
  17. Bjorngaard, JH, Nordestgaard, A, Taylor, A, Treur, J, Elvestad Gabrielsen, M, Munafo, M, Nordestgaard, BG, Asvold, BO, Romundstad, PR & Davey Smith, G. 2017. Heavier smoking increases coffee consumption: findings from a Mendelian randomisation analysis. International Journal of Epidemiology, vol. 46, no. 6, dyx147, pp. 1958-1967. https://doi.org/10.1093/ije/dyx147
  18. Walton, E, Cecil, CAM, Suderman, M, Liu, J, Turner, JA, Calhoun, VD, Ehrlich, S, Relton, C & Barker, ED. 2017. Longitudinal epigenetic predictors of amygdala:hippocampus volume ratio. Journal of Child Psychology and Psychiatry, vol. 58, no. 12, pp. 1341-1350. https://doi.org/10.1111/jcpp.12740
  19. Borges, MC, Barros, AJD, Ferreira, DLS, Casas, JP, Horta, BL, Kivimaki, M, Kumari, M, Menon, U, Gaunt, TR, Ben-Shlomo, Y, Freitas, DF, Oliveira, IO, Gentry-Maharaj, A, Fourkala, E, Lawlor, DA & Hingorani, AD. 2017. Metabolic Profiling of Adiponectin Levels in Adults: Mendelian Randomization Analysis. Circulation: Cardiovascular Genetics, vol. 10, no. 6, e001837. https://doi.org/10.1161/CIRCGENETICS.117.001837
  20. Skinner, A, Woods, A, Stone, CJ, Penton-Voak, I & Munafo, M. 2017. Smoking status and attractiveness among exemplar and prototypical identical twins discordant for smoking. Royal Society Open Science, vol. 4, 161076. https://doi.org/10.1098/rsos.161076
  21. Gilbert, E, O'Reilly, S, Merrigan, M, McGettigan, D, Molloy, AM, Brody, LC, Bodmer, W, Hutnik, K, Ennis, S, Lawson, DJ, Wilson, JF & Cavalleri, GL. 2017. The Irish DNA Atlas: Revealing Fine-Scale Population Structure and History within Ireland. Scientific Reports, vol. 7, no. 1, 17199. https://doi.org/10.1038/s41598-017-17124-4
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  23. Munafo, M, Penton-Voak, I, Kuin, NIKI & Masthoff, E. 2017. Perceiving the evil eye: Investigating hostile interpretation of ambiguous facial emotional expression in violent and non-violent offenders. PLoS ONE. https://doi.org/10.1371/journal.pone.0187080
  24. Zheng, J, Baird, D, Borges, C, Bowden, J, Hemani, G, Haycock, P, Evans, DM & Davey Smith, G. 2017. Recent developments in mendelian randomization studies. Current Epidemiology Reports, vol. 4, no. 4, pp. 330–345. https://doi.org/10.1007/s40471-017-0128-6
  25. Simpkin, AJ, Sayers, A, Gilthorpe, MS, Heron, J & Tilling, K. 2017. Modelling height in adolescence: a comparison of methods for estimating the age at peak height velocity. Annals of Human Biology, vol. 44, no. 8, pp. 715-722. https://doi.org/10.1080/03014460.2017.1391877
  26. Hemani, G, Tilling, K & Davey Smith, G. 2017. Orienting the causal relationship between imprecisely measured traits using GWAS summary data. PLoS Genetics, vol. 13, no. 11, e1007081. https://doi.org/10.1371/journal.pgen.1007081
  27. Skinner, A, West, R, Raw, M, Anderson, E & Munafo, M. 2017. Evaluating clinical stop-smoking services globally: towards a minimum data set. Addiction. https://doi.org/10.1111/add.14072
  28. Teschendorff, A & Relton, C. 2017. Statistical and integrative system-level analysis of DNA methylation data. Nature Reviews Genetics. https://doi.org/10.1038/nrg.2017.86
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  273. Gregson, CL, Hardcastle, SA, Murphy, A, Faber, B, Fraser, WD, Williams, M, Davey Smith, G & Tobias, JH. 2017. High Bone Mass is associated with bone-forming features of osteoarthritis in non-weight bearing joints independent of body mass index. Bone, vol. 97, pp. 306-313. https://doi.org/10.1016/j.bone.2017.01.005
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2016

  1. Casey, K, Levesque, M, Szyf, M, Ismaylova, E, Verner, M-P, Suderman, M, Vitaro, F, Brendgen, M, Dionne, G, Boivin, M, Tremblay, R & Booij, L. 2016. Birth weight discordance, DNA methylation, and cortical morphology of adolescent monozygotic twins. Human Brain Mapping. https://doi.org/10.1002/hbm.23503
  2. Zuccolo, L, DeRoo, L, Wills, A, Davey Smith, G, Surén, P, Roth, C, Stoltenberg, C & Magnus, P. 2016. Pre-conception and prenatal alcohol exposure from mothers and fathers drinking and head circumference: results from the Norwegian Mother-Child Study (MoBa). Scientific Reports, vol. 7, 39535. https://doi.org/10.1038/srep39535
  3. Wang, Q, Würtz, P, Auro, K, Mäkinen, V-P, Kangas, AJ, Soininen, P, Tiainen, M, Tynkkynen, T, Jokelainen, J, Santalahti, K, Salmi, M, Blankenberg, S, Zeller, T, Viikari, J, Kähönen, M, Lehtimäki, T, Salomaa, V, Perola, M, Jalkanen, S, Järvelin, M-R, Raitakari, OT, Kettunen, J, Lawlor, DA & Ala-Korpela, M. 2016. Metabolic profiling of pregnancy: cross-sectional and longitudinal evidence. BMC Medicine, vol. 14, no. 205, 205. https://doi.org/10.1186/s12916-016-0733-0
  4. Bastiaansen, JA, Munafò, MR, Appleton, KM & Oldehinkel, AJ. 2016. The efficacy of fish oil supplements in the treatment of depression: Food for thought. Translational Psychiatry, vol. 6, no. 12, e975. https://doi.org/10.1038/tp.2016.243
  5. Karaman, I, Dos Santos Ferreira, D, Lindon, J, Boulangé, C, Kaluarachchi, M, Herrington, D, Dona, A, Castagné, R, Moayyeri, A, Lehne, B, Loh, M, S. de Vries, P, Dehghan, A, Franco, O, Hofman, A, Evangelou, E, Tzoulaki, I, Elliott, P & Ebbels, T. 2016. A Workflow For Integrated Processing of Multi-Cohort Untargeted 1H NMR Metabolomics Data In Large Scale Metabolic Epidemiology. Journal of Proteome Research, vol. 15, no. 12, pp. 4188-4194. https://doi.org/10.1021/acs.jproteome.6b00125
  6. Tilling, K, Williamson, EJ, Spratt, M, Sterne, JAC & Carpenter, JR. 2016. Appropriate inclusion of interactions was needed to avoid bias in multiple imputation. Journal of Clinical Epidemiology, vol. 80, pp. 107-115. https://doi.org/10.1016/j.jclinepi.2016.07.004
  7. Begh, R, Smith, M, Ferguson, SG, Shiffman, S, Munafò, MR & Aveyard, P. 2016. Association between smoking-related attentional bias and craving measured in the clinic and in the natural environment. Psychology of Addictive Behaviors, vol. 30, no. 8, pp. 868-875. https://doi.org/10.1037/adb0000231
  8. Hughes, RA, Sterne, JAC & Tilling, K. 2016. Comparison of imputation variance estimators. Statistical Methods in Medical Research, vol. 25, no. 6, pp. 2541-2557. https://doi.org/10.1177/0962280214526216
  9. Cornish, R, John, A, Boyd, A, Tilling, K & Macleod, J. 2016. Defining adolescent common mental disorders using electronic primary care data: a comparison with outcomes measured using the CIS-R. BMJ Open, vol. 6, no. 12, e013167. https://doi.org/10.1136/bmjopen-2016-013167
  10. Carslake, D, Pinger, PR, Romundstad, P & Smith, GD. 2016. Early-Onset paternal smoking and offspring adiposity: Further investigation of a potential intergenerational effect using the HUNT study. PLoS ONE, vol. 11, no. 12, e0166952. https://doi.org/10.1371/journal.pone.0166952
  11. Barban, N, Jansen, R, De Vlaming, R, Vaez, A, Mandemakers, JJ, Tropf, FC, Shen, X, Wilson, JF, Chasman, DI, Nolte, IM, Tragante, V, Van Der Laan, SW, Perry, JRB, Kong, A, Ahluwalia, TS, Albrecht, E, Yerges-Armstrong, L, Atzmon, G, Auro, K, Ayers, K, Bakshi, A, Ben-Avraham, D, Berger, K, Bergman, A, Bertram, L, Bielak, LF, Bjornsdottir, G, Bonder, MJ, Broer, L, Bui, M, Barbieri, C, Cavadino, A, Chavarro, JE, Turman, C, Concas, MP, Cordell, HJ, Davies, G, Eibich, P, Eriksson, N, Esko, T, Eriksson, J, Falahi, F, Felix, JF, Fontana, MA, Franke, L, Gandin, I, Gaskins, AJ, Gieger, C, Gunderson, EP, Guo, X, Hayward, C, He, C, Hofer, E, Huang, H, Joshi, PK, Kanoni, S, Karlsson, R, Kiechl, S, Kifley, A, Kluttig, A, Kraft, P, Lagou, V, Lecoeur, C, Lahti, J, Li-Gao, R, Lind, PA, Liu, T, Makalic, E, Mamasoula, C, Matteson, L, Mbarek, H, McArdle, PF, McMahon, G, Meddens, SFW, Mihailov, E, Miller, M, Missmer, SA, Monnereau, C, Van Der Most, PJ, Myhre, R, Nalls, MA, Nutile, T, Kalafati, IP, Porcu, E, Prokopenko, I, Rajan, KB, Rich-Edwards, J, Rietveld, CA, Robino, A, Rose, LM, Rueedi, R, Ryan, KA, Saba, Y, Schmidt, D, Smith, JA, Stolk, L, Streeten, E, Tönjes, A, Thorleifsson, G, Ulivi, S, Wedenoja, J, Wellmann, J, Willeit, P, Yao, J, Yengo, L, Zhao, JH, Zhao, W, Zhernakova, DV, Amin, N, Andrews, H, Balkau, B, Barzilai, N, Bergmann, S, Biino, G, Bisgaard, H, Bønnelykke, K, Boomsma, DI, Buring, JE, Campbell, H, Cappellani, S, Ciullo, M, Cox, SR, Cucca, F, Toniolo, D, Davey-Smith, G, Deary, IJ, Dedoussis, G, Deloukas, P, Van Duijn, CM, De Geus, EJC, Eriksson, JG, Evans, DA, Faul, JD, Sala, CF, Froguel, P, Gasparini, P, Girotto, G, Grabe, HJ, Greiser, KH, Groenen, PJF, De Haan, HG, Haerting, J, Harris, TB, Heath, AC, Heikkilä, K, Hofman, A, Homuth, G, Holliday, EG, Hopper, J, Hyppönen, E, Jacobsson, B, Jaddoe, VWV, Johannesson, M, Jugessur, A, Kähönen, M, Kajantie, E, Kardia, SLR, Keavney, B, Kolcic, I, Koponen, P, Kovacs, P, Kronenberg, F, Kutalik, Z, La Bianca, M, Lachance, G, Iacono, WG, Lai, S, Lehtimäki, T, Liewald, DC, Lindgren, CM, Liu, Y, Luben, R, Lucht, M, Luoto, R, Magnus, P, Magnusson, PKE, Martin, NG, McGue, M, McQuillan, R, Medland, SE, Meisinger, C, Mellström, D, Metspalu, A, Traglia, M, Milani, L, Mitchell, P, Montgomery, GW, Mook-Kanamori, D, De Mutsert, R, Nohr, EA, Ohlsson, C, Olsen, J, Ong, KK, Paternoster, L, Pattie, A, Penninx, BWJH, Perola, M, Peyser, PA, Pirastu, M, Polasek, O, Power, C, Kaprio, J, Raffel, LJ, Räikkönen, K, Raitakari, O, Ridker, PM, Ring, SM, Roll, K, Rudan, I, Ruggiero, D, Rujescu, D, Salomaa, V, Schlessinger, D, Schmidt, H, Schmidt, R, Schupf, N, Smit, J, Sorice, R, Spector, TD, Starr, JM, Stöckl, D, Strauch, K, Stumvoll, M, Swertz, MA, Thorsteinsdottir, U, Thurik, AR, Timpson, NJ, Tung, JY, Uitterlinden, AG, Vaccargiu, S, Viikari, J, Vitart, V, Völzke, H, Vollenweider, P, Vuckovic, D, Waage, J, Wagner, GG, Wang, JJ, Wareham, NJ, Weir, DR, Willemsen, G, Willeit, J, Wright, AF, Zondervan, KT, Stefansson, K, Krueger, RF, Lee, JJ, Benjamin, DJ, Cesarini, D, Koellinger, PD, Den Hoed, M, Snieder, H & Mills, MC. 2016. Genome-wide analysis identifies 12 loci influencing human reproductive behavior. Nature Genetics, vol. 48, no. 12, pp. 1462-1472. https://doi.org/10.1038/ng.3698
  12. Magnus, M, Eldevik Haberg, S, Magnus, P, Engeland, A, Nafstad, P, Karlstad, O & Nystad, W. 2016. Pre-eclampsia and childhood asthma. European Respiratory Journal, vol. 48, no. 6, pp. 1622-1630. https://doi.org/10.1183/13993003.00673-2016
  13. Ebrahim, S, Ferrie, J & Davey Smith, G. 2016. The future of epidemiology: methods or matter?. International Journal of Epidemiology, vol. 45, no. 6, pp. 1669-1716. https://doi.org/10.1093/ije/dyx032
  14. Lawlor, DA, Tilling, K & Davey Smith, G. 2016. Triangulation in aetiological epidemiology. International Journal of Epidemiology, vol. 45, no. 6, pp. 1866-1886. https://doi.org/10.1093/ije/dyw314
  15. Ference, B, Robinson, J, Brook, R, Catapano, AL, Chapman, J, Neff, D, Voros, S, Giugliano, R, Davey Smith, G, Fazio, S & Sabatine, MS. 2016. Variation in PCSK9 and HMGCR and Risk of Cardiovascular Disease and Diabetes. New England Journal of Medicine, vol. 375, no. 22, pp. 2144-2153. https://doi.org/10.1056/NEJMoa1604304
  16. Riglin, L, Collishaw, S, Thapar, AK, Dalsgaard, S, Langley, K, Davey Smith, G, Stergiakouli, E, Maughan, B, O'Donovan, M & Thapar, A. 2016. Association of Genetic Risk Variants With Attention-Deficit/Hyperactivity Disorder Trajectories in the General Population. JAMA Psychiatry, vol. 73, no. 12, pp. 1285-1292. https://doi.org/10.1001/jamapsychiatry.2016.2817
  17. Grabski, M, Curran, HV, Nutt, DJ, Husbands, SM, Freeman, TP, Fluharty, M & Munafò, MR. 2016. Behavioral tasks sensitive to acute abstinence and predictive of smoking cessation success: a systematic review and meta-analysis. Addiction, vol. 111, no. 12, pp. 2134-2144. https://doi.org/10.1111/add.13507
  18. Frysz, M, Deere, K, Lawlor, D, Benfield, L, Tobias, J & Gregson, C. 2016. Bone Mineral Density Is Positively Related to Carotid Intima-Media Thickness: Findings From a Population-Based Study in Adolescents and Premenopausal Women. Journal of Bone and Mineral Research, vol. 31, no. 12, pp. 2139–2148. https://doi.org/10.1002/jbmr.2903
  19. Walker, V, Davies, N, Jones, T, Kehoe, P & Martin, R. 2016. Can commonly prescribed drugs be repurposed for the prevention or treatment of Alzheimer’s and other neurodegenerative diseases? Protocol for an observational cohort study in the UK Clinical Practice Research Datalink. BMJ Open, vol. 6, no. 12, e012044. https://doi.org/10.1136/bmjopen-2016-012044
  20. Bull, CJ & Northstone, K. 2016. Childhood dietary patterns and cardiovascular risk factors in adolescence: results from the ALSPAC cohort. Public Health Nutrition, vol. 19, no. 18, pp. 3369-3377. https://doi.org/10.1017/S1368980016001592
  21. Price, AJ, Travis, RC, Appleby, PN, Albanes, D, Barricarte Gurrea, A, Bjørge, T, Bueno-de-Mesquita, HB, Chen, C, Donovan, J, Gislefoss, R, Goodman, G, Gunter, M, Hamdy, FC, Johansson, M, King, IB, Kühn, T, Männistö, S, Martin, RM, Meyer, K, Neal, DE, Neuhouser, ML, Nygård, O, Stattin, P, Tell, GS, Trichopoulou, A, Tumino, R, Ueland, PM, Ulvik, A, de Vogel, S, Vollset, SE, Weinstein, SJ, Key, TJ & Allen, NE. 2016. Circulating Folate and Vitamin B12 and Risk of Prostate Cancer: A Collaborative Analysis of Individual Participant Data from Six Cohorts Including 6875 Cases and 8104 Controls. European Urology, vol. 70, no. 6, pp. 941-951. https://doi.org/10.1016/j.eururo.2016.03.029
  22. Simpson, J, Smith, AD, Fraser, A, Sattar, N, Callaway, MP, Lindsay, RS, Lawlor, DA & Nelson, SM. 2016. Cord blood adipokines and lipids and adolescent non-alcoholic fatty liver disease. Journal of Clinical Endocrinology and Metabolism, vol. 101, no. 12, pp. 4661-4668. https://doi.org/10.1210/jc.2016-2604
  23. Cecil, CAM, Walton, E, Viding, E, McCrory, EJ, Relton, CL, Suderman, MJ, Pingault, J-B, McArdle, WL, Gaunt, TR, Mill, J & Barker, E. 2016. DNA methylation and substance use risk: A prospective, genome-wide study spanning gestation to adolescence. Translational Psychiatry, vol. 6, no. 12, e976. https://doi.org/10.1038/tp.2016.247
  24. Kjollesdal, MKR, Ariansen, I, Mortensen, LH, Davey Smith, G & Naess, O. 2016. Educational differences in cardiovascular mortality: The role of shared family factors and cardiovascular risk factors. Scandinavian Journal of Public Health, vol. 44, no. 8, pp. 744-750. https://doi.org/10.1177/1403494816669427
  25. Wootton, RE, Davis, OS, Mottershaw, AL, Wang, A & Haworth, CMA. 2016. Exploring the genetic aetiology of trust in adolescents: Combined twin and DNA analyses. Twin Research and Human Genetics, vol. 19, no. 6, pp. 638-646. https://doi.org/10.1017/thg.2016.84
  26. Simpkin, AJ, Donovan, JL, Tilling, KM, Lane, JA, Martin, RM, Albertsen, PC, Bill-Axelson, A, Carter, HB, Ruud Bosch, JLH, Ferrucci, L, Hamdy, FC, Holmberg, L, Metter, EJ, Neal, DE, Parker, C & Metcalfe, C. 2016. Prostate specific antigen patterns in US and European populations: comparison of six diverse cohorts. BJU International, vol. 118, no. 6, pp. 911-918. https://doi.org/10.1111/bju.13422
  27. Gage, S, Davey Smith, G & Munafo, M. 2016. Schizophrenia and neighborhood deprivation. Translational Psychiatry, vol. 6, no. 12, e979. https://doi.org/10.1038/tp.2016.244
  28. Razak, F, Davey Smith, G & Subramanian, SV. 2016. The Idea of Uniform Change: Is it Time to Revisit a Central Tenet of Rose’s Concept of Population Health?. American Journal of Clinical Nutrition, vol. 104, no. 6, pp. 1497-1507. https://doi.org/10.3945/ajcn.115.127357
  29. Krieger, N & Davey Smith, G. 2016. The tale wagged by the DAG: broadening the scope of causal inference and explanation for epidemiology. International Journal of Epidemiology, vol. 45, no. 6, pp. 1787-1808. https://doi.org/10.1093/ije/dyw114
  30. Lassi, G, Taylor, A, Timpson, N, J Kenny, P, J Mather, R, Eisen, T & Munafo, M. 2016. The CHRNA5-A3-B4 gene cluster and smoking: From discovery to therapeutics. Trends in Neurosciences, vol. 39, no. 12, pp. 851–861. https://doi.org/10.1016/j.tins.2016.10.005
  31. Greenwood, C, Clement, J, Dicken, A, Evans, JPO, Lyburn, I, Martin, RM, Rogers, K, Stone, N & Zioupos, P. 2016. Towards new material biomarkers for fracture risk. Bone, vol. 93, pp. 55-63. https://doi.org/10.1016/j.bone.2016.09.006
  32. Taylor, M, Simpkin, A, Haycock, P, Dudbridge, F & Zuccolo, L. 2016. Exploration of a polygenic risk score for alcohol consumption: A longitudinal analysis from the ALSPAC cohort. PLoS ONE, vol. 11, no. 11, e0167360. https://doi.org/10.1371/journal.pone.0167360
  33. Ried, JS, Jeff, J, Chu, A, et, A, McArdle, W, Paternoster, L, Sorensen, T & Loos, RJF. 2016. A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape. Nature Communications, vol. 7, 13357. https://doi.org/10.1038/ncomms13357
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  36. Fanidi, A, Muller, DC, Midttun, Ø, Ueland, PM, Vollset, SE, Relton, C, Vineis, P, Weiderpass, E, Skeie, G, Brustad, M, Palli, D, Tumino, R, Grioni, S, Sacerdote, C, Bueno-de-Mesquita, HB, Peeters, PHM, Boutron-Ruault , M-C, Kvaskoff, M, Cadeau, C, Huerta, J-M, Sanchez, M-J, Agudo, A, Lasheras, C, Quirós, JR, Chamosa, S, Riboli, E, Travis, RC, Ward, H, Murphy, N, Khaw, K-T, Trichopoulou , A, Lagiou, P, Papatesta, E-M, Boeing, H, Kuehn, T, Katzke, V, Steffen, A, Johansson, A, Brennan, P & Johansson, M. 2016. Circulating vitamin D in relation to cancer incidence and survival of the head and neck and oesophagus in the EPIC cohort. Scientific Reports, vol. 6, 36017. https://doi.org/10.1038/srep36017
  37. Tilling, K, Lawton, M, Robertson, NR, Tremlett, H, Zhu, F, Harding, KE, Oger, J & Ben-Shlomo, Y. 2016. Modelling disease progression in relapsing-remitting onset multiple sclerosis using multilevel models applied to longitudinal data from two natural history cohorts and one treated cohort. Health Technology Assessment, vol. 20, no. 81. https://doi.org/10.3310/hta20810
  38. Batty, GD, Galobardes, B, Starr, JM, Jeffreys, M, Davey Smith, G & Russ, TC. 2016. Examining if being overweight really confers protection against dementia: Sixty-four year follow-up of participants in the Glasgow University alumni cohort study. Journal of Negative Results in Biomedicine, vol. 15, 19. https://doi.org/10.1186/s12952-016-0062-z
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  40. Burgess, S, Davies, NM & Thompson, S. 2016. Bias due to participant overlap in two-sample Mendelian randomization. Genetic Epidemiology, vol. 40, no. 7, pp. 597-608. https://doi.org/10.1002/gepi.21998
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  42. Dixon, P, Davey Smith, G, von Hinke, S, Davies, N & Hollingworth, W. 2016. Estimating marginal healthcare costs using genetic variants as instrumental variables: Mendelian Randomization in economic evaluation. PharmacoEconomics, vol. 34, no. 11, pp. 1075-1086. https://doi.org/10.1007/s40273-016-0432-x
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2015

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  5. Geihs, M, Yan, Y, Walter, K, Huang, J, Memari, Y, Min, JL, Mead, D, Hubbard, TJ, Timpson, NJ, Down, TA, Soranzo, N & UK10K Consortium. 2015. An interactive genome browser of association results from the UK10K cohorts project. Bioinformatics, vol. 31, no. 24, pp. 4029-31. https://doi.org/10.1093/bioinformatics/btv491
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  8. Hunt, LE, Noyvert, B, Bhaw-Rosun, L, Sesay, AK, Paternoster, L, Nohr, EA, Davey Smith, G, Tommerup, N, Sorensen, T & Elgar, G. 2015. Complete re-sequencing of a 2Mb topological domain encompassing the FTO/IRXB genes identifies a novel obesity-associated region upstream of IRX5. Genome Medicine, vol. 7, 126. https://doi.org/10.1186/s13073-015-0250-3
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  13. Matsuzaki, M, Kuper, H, Kulkarni, B, Ploubidis, GB, Wells, JC, Radhakrishna, KV, Prabhakaran, P, Gupta, V, Walia, GK, Aggarwal, A, Prabhakaran, D, Rameshwar Sarma, KV, Davey Smith, G, Ben-Shlomo, Y & Kinra, S. 2015. Adolescent undernutrition and early adulthood bone mass in an urbanizing rural community in India. Archives of Osteoporosis, vol. 10, no. 1, pp. 232. https://doi.org/10.1007/s11657-015-0232-5
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  16. Felix, JF, Bradfield, JP, Monnereau, C, van der Valk, RJP, Stergiakouli, E, Chesi, A, Gaillard, R, Feenstra, B, Thiering, E, Kreiner-Møller, E, Mahajan, A, Pitkänen, N, Joro, R, Cavadino, A, Huikari, V, Franks, S, Groen-Blokhuis, MM, Cousminer, DL, Marsh, JA, Lehtimäki, T, Curtin, JA, Vioque, J, Ahluwalia, TS, Myhre, R, Price, TS, Vilor-Tejedor, N, Yengo, L, Grarup, N, Ntalla, I, Ang, W, Atalay, M, Bisgaard, H, Blakemore, AI, Bonnefond, A, Carstensen, L, Eriksson, J, Flexeder, C, Franke, L, Geller, F, Geserick, M, Hartikainen, A-L, Haworth, CMA, Hirschhorn, JN, McMahon, G, Murray, CS, Torrent, M, Ring, SM, Smith, GD, Sorensen, T, Timpson, NJ & Bone Mineral Density in Childhood Study (BMDCS). 2015. Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index. Human Molecular Genetics. https://doi.org/10.1093/hmg/ddv472
  17. Perry, JRB, McMahon, G, Day, FR, Ring, SM, Nelson, SM & Lawlor, DA. 2015. Genome-wide association study identifies common and low-frequency variants at the AMH gene locus that strongly predict serum AMH levels in males. Human Molecular Genetics. https://doi.org/10.1093/hmg/ddv465
  18. Murray, J, Burgess, S, Zuccolo, L, Hickman, M, Gray, R & Lewis, SJ. 2015. 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. https://doi.org/10.1111/jcpp.12486
  19. Macdonald-Wallis, C, Silverwood, RJ, De Stavola, BL, Inskip, H, Cooper, C, Godfrey, KM, Crozier, SR, Fraser, A, Nelson, SM, Lawlor, D & Tilling, K. 2015. Antenatal blood pressure for prediction of pre-eclampsia, preterm birth, and small for gestational age babies: development and validation in two general population cohorts. BMJ, vol. 351, h5948, pp. 1-11. https://doi.org/10.1136/bmj.h5948
  20. Fernandez, AM, Garfield, K, Noble, S, Gaunt, D, Howe, L, Lawlor, D & Hollingworth, W. 2015. Challenges of implementing multiple imputation to address missing data in economic evaluations. Trials, vol. 16, no. Suppl 2, P26. https://doi.org/10.1186/1745-6215-16-S2-P26
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  22. de Vocht, F, Simpkin, AJ, Richmond, RC, Relton, CL & Tilling, KM. 2015. Assessment of Offspring DNA Methylation across the Lifecourse Associated with Prenatal Maternal Smoking Using Bayesian Mixture Modelling. International Journal of Environmental Research and Public Health, vol. 12, no. 11, pp. 14461-11476. https://doi.org/10.3390/ijerph121114461
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