Body fatness and cancer—viewpoint of the IARC Working Group B Lauby-Secretan, C Scoccianti, D Loomis, Y Grosse, F Bianchini, K Straif New England journal of medicine 375 (8), 794-798, 2016 | 2558 | 2016 |
The MR-Base platform supports systematic causal inference across the human phenome G Hemani, J Zheng, B Elsworth, KH Wade, V Haberland, D Baird, ... elife 7, e34408, 2018 | 2533 | 2018 |
Polygenic prediction of weight and obesity trajectories from birth to adulthood AV Khera, M Chaffin, KH Wade, S Zahid, J Brancale, R Xia, M Distefano, ... Cell 177 (3), 587-596. e9, 2019 | 468 | 2019 |
Best (but oft-forgotten) practices: the design, analysis, and interpretation of Mendelian randomization studies PC Haycock, S Burgess, KH Wade, J Bowden, C Relton, G Davey Smith The American journal of clinical nutrition 103 (4), 965-978, 2016 | 406 | 2016 |
Association between telomere length and risk of cancer and non-neoplastic diseases: a Mendelian randomization study PC Haycock, S Burgess, A Nounu, J Zheng, GN Okoli, J Bowden, ... JAMA oncology 3 (5), 636-651, 2017 | 396 | 2017 |
Large-scale association analyses identify host factors influencing human gut microbiome composition A Kurilshikov, C Medina-Gomez, R Bacigalupe, D Radjabzadeh, J Wang, ... Nature genetics 53 (2), 156-165, 2021 | 251 | 2021 |
Apparent latent structure within the UK Biobank sample has implications for epidemiological analysis S Haworth, R Mitchell, L Corbin, KH Wade, T Dudding, A Budu-Aggrey, ... Nature communications 10 (1), 1-9, 2019 | 227 | 2019 |
The role of obesity, type 2 diabetes, and metabolic factors in pancreatic cancer: a Mendelian randomization study R Carreras-Torres, M Johansson, V Gaborieau, PC Haycock, KH Wade, ... JNCI: Journal of the National Cancer Institute 109 (9), 2017 | 212 | 2017 |
BMI as a modifiable risk factor for type 2 diabetes: refining and understanding causal estimates using Mendelian randomization LJ Corbin, RC Richmond, KH Wade, S Burgess, J Bowden, GD Smith, ... Diabetes 65 (10), 3002-3007, 2016 | 167 | 2016 |
Genome-wide associations of human gut microbiome variation and implications for causal inference analyses DA Hughes, R Bacigalupe, J Wang, MC Rühlemann, RY Tito, G Falony, ... Nature microbiology 5 (9), 1079-1087, 2020 | 126 | 2020 |
Associations of body mass and fat indexes with cardiometabolic traits JA Bell, D Carslake, LM O’Keeffe, M Frysz, LD Howe, M Hamer, KH Wade, ... Journal of the American College of Cardiology 72 (24), 3142-3154, 2018 | 98 | 2018 |
Obesity, metabolic factors and risk of different histological types of lung cancer: a Mendelian randomization study R Carreras-Torres, M Johansson, PC Haycock, KH Wade, CL Relton, ... PloS one 12 (6), e0177875, 2017 | 88 | 2017 |
Education, intelligence and Alzheimer’s disease: evidence from a multivariable two-sample Mendelian randomization study EL Anderson, LD Howe, KH Wade, Y Ben-Shlomo, WD Hill, IJ Deary, ... International Journal of Epidemiology, 2020 | 86 | 2020 |
Causal Inference in Cancer Epidemiology: What Is the Role of Mendelian Randomization? Mendelian Randomization in Cancer Incidence and Progression J Yarmolinsky, KH Wade, RC Richmond, RJ Langdon, CJ Bull, KM Tilling, ... Cancer Epidemiology, Biomarkers & Prevention 27 (9), 995-1010, 2018 | 83 | 2018 |
BMI and mortality in UK Biobank: revised estimates using Mendelian randomization KH Wade, D Carslake, N Sattar, G Davey Smith, NJ Timpson Obesity 26 (11), 1796-1806, 2018 | 70* | 2018 |
Influence of puberty timing on adiposity and cardiometabolic traits: a Mendelian randomisation study JA Bell, D Carslake, KH Wade, RC Richmond, RJ Langdon, EE Vincent, ... PLoS medicine 15 (8), e1002641, 2018 | 69 | 2018 |
Assessing the causal role of body mass index on cardiovascular health in young adults: Mendelian randomization and recall-by-genotype analyses KH Wade, ST Chiesa, AD Hughes, N Chaturvedi, M Charakida, A Rapala, ... Circulation 138 (20), 2187-2201, 2018 | 64 | 2018 |
Genomic analysis of diet composition finds novel loci and associations with health and lifestyle SFW Meddens, R de Vlaming, P Bowers, CAP Burik, RK Linnér, C Lee, ... Molecular psychiatry 26 (6), 2056-2069, 2020 | 62 | 2020 |
MR-Base: a platform for systematic causal inference across the phenome using billions of genetic associations G Hemani, J Zheng, KH Wade, C Laurin, B Elsworth, S Burgess, ... eLife Sciences Publications, Ltd, 2018 | 56 | 2018 |
Formalising recall by genotype as an efficient approach to detailed phenotyping and causal inference LJ Corbin, VY Tan, DA Hughes, KH Wade, DS Paul, KE Tansey, F Butcher, ... Nature Communications 9 (1), 711, 2018 | 52 | 2018 |