Professor George Davey Smith
FRS, MD, DSc, MSc, FMedSci, FRCP, FFPH
Current positions
Professor of Clinical Epidemiology
Bristol Medical School (PHS)
Contact
Press and media
Many of our academics speak to the media as experts in their field of research. If you are a journalist, please contact the University’s Media and PR Team:
Biography
causal inference in studies of disease aetiology and disease prevention. His work has
involved early implementation of ‘negative controls’ in epidemiological studies, the use of
cross-context comparisons, sensitivity analyses, unobtrusive data collection methods and
randomized trials in thought-to-be difficult situations. He pioneered the use of germline
genetic variants for investigating modifiable causes of disease (‘Mendelian randomization’),
developed several extensions of the basic method, and contributed to its application in many
settings. He is an advocate of the pre-specified application of a range of methods, with
different structures of potential biases, to the same question (‘triangulation’), as the key
approach to strengthening causal inference. Throughout his career he has promoted
increasing the accessibility of data, and implemented this in studies he has led, including the
Avon Longitudinal Study of Parents and their Children (ALSPAC).
Research interests
George Davey Smith is a clinical epidemiologist who has focused on methods for improving causal inference in studies of disease aetiology and disease prevention. His work has involved early implementation of ‘negative controls’ in epidemiological studies, the use of cross-context comparisons, sensitivity analyses, unobtrusive data collection methods and randomized trials in thought-to-be difficult situations. He pioneered the use of germline genetic variants for investigating modifiable causes of disease (‘Mendelian randomization’), developed several extensions of the basic method, and contributed to its application in many settings. He is an advocate of the pre-specified application of a range of methods, with different structures of potential biases, to the same question (‘triangulation’), as the key approach to strengthening causal inference. Throughout his career he has promoted increasing the accessibility of data, and implemented this in studies he has led, including the Avon Longitudinal Study of Parents and their Children (ALSPAC).
Projects and supervisions
Research projects
Lifecourse GWAS Consortium
Role
Co-Investigator
Description
Acute, chronic, and recurring, adverse health conditions that emerge in later life are often shaped by processes experienced throughout life. Gaining a better understanding of how exposures at different stages…Managing organisational unit
Bristol Medical School (PHS)Dates
01/10/2023 to 31/10/2028
Integrative Epidemiology Unit
Principal Investigator
Managing organisational unit
Bristol Medical School (PHS)Dates
01/04/2023 to 31/03/2028
Thesis supervisions
Geographical gene-environment interaction and correlation for mental health in the UK and Sweden
Supervisors
Exploring the aetiology and phenotypic consequences of non-syndromic cleft lip/palate using polygenic risk scoring and Mendelian randomization
Supervisors
Approaches, challenges, and opportunities in the application of genetic epidemiological techniques to lifecourse epidemiology
Supervisors
Dissecting causal relationships and molecular mechanisms in disease using genetic risk profiles
Supervisors
Variance quantitative trait loci
Supervisors
Extra-pulmonary effects of lung function and lung disease
Supervisors
Causal implications of common infections and platelet function on cardiovascular disease
Supervisors
Strengthening causal inference in educational inequalities in cardiovascular disease
Supervisors
Genetic and epidemiologic approaches to elucidate the role of abnormal hip shape in the development of hip osteoarthritis
Supervisors
Using genetics to explore the effects of metabolic traits in head and neck cancer
Supervisors
Publications
Recent publications
01/01/2025Childhood adiposity underlies numerous adult brain traits commonly attributed to midlife obesity
Brain
Multiomic Mendelian Randomization Study Investigating the Impact of PCSK9 and HMGCR Inhibition on Type 2 Diabetes Across Five Populations
Diabetes
Multivariable MR Can Mitigate Bias in Two-Sample MR Using Covariable-Adjusted Summary Associations
Genetic Epidemiology
42.Mendelian Randomization
Vogel and Motulsky's Human Genetics: Problems and Approaches