|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|Rate-constrained ranking and the rate-weighted AUC|
LAC Millard, PA Flach, JPT Higgins
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014