| Software Application Profile: PHESANT: a tool for performing automated phenome scans in UK Biobank LAC Millard, NM Davies, TR Gaunt, G Davey Smith, K Tilling International journal of epidemiology 47 (1), 29-35, 2018 | 172 | 2018 |
| MR-PheWAS: hypothesis prioritization among potential causal effects of body mass index on many outcomes, using Mendelian randomization LAC Millard, NM Davies, NJ Timpson, K Tilling, PA Flach, GD Smith Scientific reports 5 (1), 16645, 2015 | 105 | 2015 |
| Searching for the causal effects of body mass index in over 300 000 participants in UK Biobank, using Mendelian randomization LAC Millard, NM Davies, K Tilling, TR Gaunt, G Davey Smith PLoS genetics 15 (2), e1007951, 2019 | 77 | 2019 |
| Machine learning to assist risk-of-bias assessments in systematic reviews LAC Millard, PA Flach, JPT Higgins International journal of epidemiology 45 (1), 266-277, 2016 | 71 | 2016 |
| Evaluation of the causal effects between subjective wellbeing and cardiometabolic health: mendelian randomisation study RE Wootton, RB Lawn, LAC Millard, NM Davies, AE Taylor, MR Munafň, ... bmj 362, 2018 | 70 | 2018 |
| The second generation of The Avon Longitudinal Study of Parents and Children (ALSPAC-G2): a cohort profile DA Lawlor, M Lewcock, L Rena-Jones, C Rollings, V Yip, D Smith, ... Wellcome Open Research 4, 2019 | 64 | 2019 |
| A cross-disorder PRS-pheWAS of 5 major psychiatric disorders in UK Biobank B Leppert, LAC Millard, L Riglin, G Davey Smith, A Thapar, K Tilling, ... PLoS genetics 16 (5), e1008185, 2020 | 59 | 2020 |
| PhenoSpD: an integrated toolkit for phenotypic correlation estimation and multiple testing correction using GWAS summary statistics J Zheng, TG Richardson, LAC Millard, G Hemani, BL Elsworth, ... Gigascience 7 (8), giy090, 2018 | 54 | 2018 |
| MR-pheWAS with stratification and interaction: searching for the causal effects of smoking heaviness identified an effect on facial aging LAC Millard, MR Munafň, K Tilling, RE Wootton, G Davey Smith PLoS Genetics 15 (10), e1008353, 2019 | 35 | 2019 |
| Navigating sample overlap, winner’s curse and weak instrument bias in Mendelian randomization studies using the UK Biobank II Sadreev, BL Elsworth, RE Mitchell, L Paternoster, E Sanderson, ... MedRxiv, 2021.06. 28.21259622, 2021 | 29 | 2021 |
| Identifying potential causal effects of age at menarche: a Mendelian randomization phenome-wide association study MC Magnus, AL Guyatt, RB Lawn, AB Wyss, K Trajanoska, LK Küpers, ... BMC medicine 18, 1-17, 2020 | 26 | 2020 |
| Proxy gene-by-environment Mendelian randomization study confirms a causal effect of maternal smoking on offspring birthweight, but little evidence of long-term influences on … Q Yang, LAC Millard, GD Smith International Journal of Epidemiology, dyz250, 2019 | 26 | 2019 |
| Bias from questionnaire invitation and response in COVID-19 research: an example using ALSPAC A Fernández-Sanlés, D Smith, GL Clayton, K Northstone, AR Carter, ... Wellcome Open Research 6, 2021 | 21 | 2021 |
| The causes and consequences of Alzheimer’s disease: phenome-wide evidence from Mendelian randomization R Korologou-Linden, L Bhatta, BM Brumpton, LD Howe, LAC Millard, ... Nature communications 13 (1), 4726, 2022 | 17 | 2022 |
| Physical activity during pregnancy and offspring cardiovascular risk factors: findings from a prospective cohort study LAC Millard, DA Lawlor, A Fraser, LD Howe BMJ open 3 (9), e003574, 2013 | 17 | 2013 |
| GLU: a software package for analysing continuously measured glucose levels in epidemiology LAC Millard, N Patel, K Tilling, M Lewcock, PA Flach, DA Lawlor International Journal of Epidemiology 49 (3), 744-757, 2020 | 16* | 2020 |
| Exploring the impact of selection bias in observational studies of COVID-19: a simulation study LAC Millard, A Fernández-Sanlés, AR Carter, RA Hughes, K Tilling, ... International Journal of Epidemiology 52 (1), 44-57, 2023 | 11* | 2023 |
| Impact of sex hormone-binding globulin (SHBG) on the human phenome R Arathimos, LAC Millard, JA Bell, CL Relton, M Suderman Human Molecular Genetics, 2020 | 11 | 2020 |
| Physical activity phenotyping with activity bigrams, and their association with BMI LAC Millard, K Tilling, DA Lawlor, PA Flach, TR Gaunt International Journal of Epidemiology 46 (6), 1857-1870, 2017 | 8 | 2017 |
| Rate-constrained ranking and the rate-weighted AUC LAC Millard, PA Flach, JPT Higgins Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014 | 6 | 2014 |
Kate TillingProfessor of Medical Statistics, Bristol UniversityVerified email at bristol.ac.uk
