George Davey Smith - Epidemiology

Author Information

George Davey Smith is a distinguished epidemiologist affiliated with the MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK. His extensive research portfolio and deep involvement in epidemiological studies have established him as a leading figure in the field.

Research Contributions

Throughout 2022, George Davey Smith has made significant contributions to the field of epidemiology, focusing on diverse areas such as DNA methylation-based health predictors, genetically proxied PCSK9 inhibition, metabolomic signatures of lipid-modifying therapies, and whole-genome polygenic risk scores. His work spans various methodologies, including Mendelian randomization studies to investigate the causal roles of genetic and epigenetic factors in health outcomes. Notable studies include the exploration of metabolic features linked to type 2 diabetes and coronary artery disease, as well as the assessment of educational attainment's impact on health outcomes.

Aliases

George Davey Smith is also known by other names, including G Davey Smith and G. Davey Smith.

Publication and Citation Metrics

Metric	Value
Citation Count	78,464
h-index	128
Paper Count	851

Publications:

DNA methylation-based predictors of health: applications and statistical considerations.

DOI: 10.1038/s41576-022-00465-w

Year: 2022

Genetically proxied PCSK9 inhibition provides indication of lower prostate cancer risk: a Mendelian randomization study

DOI: 10.1101/2022.04.18.22274003

Year: 2022

Characterising metabolomic signatures of lipid-modifying therapies through drug target mendelian randomisation

DOI: 10.1371/journal.pbio.3001547

Year: 2022

Harnessing Whole Genome Polygenic Risk Scores to Stratify Individuals Based on Cardiometabolic Risk Factors and Biomarkers at Age 10 in the Lifecourse—Brief Report

DOI: 10.1161/ATVBAHA.121.316650

Year: 2022

Assessing the causal role of epigenetic clocks in the development of multiple cancers: a Mendelian randomization study.

DOI: 10.7554/eLife.75374

Year: 2022

Distinct metabolic features of genetic liability to type 2 diabetes and coronary artery disease: a reverse Mendelian randomization study

DOI: 10.1101/2022.04.13.22273833

Year: 2022

A robust method for collider bias correction in conditional genome-wide association studies

DOI: 10.1038/s41467-022-28119-9

Year: 2022

Educational attainment, health outcomes and mortality: a within-sibship Mendelian randomization study

DOI: 10.1101/2022.01.11.22268884

Year: 2022

Correlations in sleeping patterns and circadian preference between spouses

DOI: 10.1101/2022.01.13.22269233

Year: 2022

Decline in attention-deficit hyperactivity disorder traits over the life course in the general population: trajectories across five population birth cohorts spanning ages 3 to 45 years.

DOI: 10.1093/ije/dyac049

Year: 2022

What are the Common Clinical Manifestations?

How Does Bad Debt Affect Public Health?

How Can Epidemiologists Evaluate the Impact of Stress Management Programs?

What is the Future of Biotechnology in Epidemiology?

What is an Epidemic Disease?

What is 3D Bioprinting?

What are Some Common Applications of MLE in Epidemiology?

What are Epigenetic Markers?

How Can Public Health Threats Be Mitigated?

How Are Behavioral Surveys Conducted?

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