Smith, George Davey

What are the causal effects of breastfeeding on IQ, obesity and blood pressure? Evidence from comparing high-income with middle-income cohorts

Brion, M.-J. A., Lawlor, D. A., Matijasevich, A., Horta, B., Anselmi, L., Araújo, C. L., Menezes, A. M. B., Victora, C. G., & Smith, G. D. (2011) · International Journal of Epidemiology

Breastfeeding Practices and InfluencesAdvanced Causal Inference Techniques

Cited by 350

Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index

Felix, J. F., Bradfield, J. P., Monnereau, C., van der Valk, R. J. P., Stergiakouli, E., Chesi, A., Gaillard, R., Feenstra, B., Thiering, E., Kreiner-Møller, E., et al. (2016) · Human Molecular Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 343

Using Mendelian Randomization to Improve the Design of Randomized Trials

Ference, B. A., Holmes, M. V., & Smith, G. D. (2021) · Cold Spring Harbor Perspectives in Medicine

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 338

Sleep duration and mortality: the effect of short or long sleep duration on cardiovascular and all-cause mortality in working men and women

Heslop, P., Smith, G. D., Metcalfe, C., Macleod, J., & Hart, C. (2002) · Sleep Medicine

Sleep and related disordersSleep and Work-Related Fatigue

Cited by 335

Genetic evidence of assortative mating in humans

Robinson, M. R., Kleinman, A., Graff, M., Vinkhuyzen, A. A. E., Couper, D., Miller, M. B., Peyrot, W. J., Abdellaoui, A., Zietsch, B. P., Nolte, I. M., et al. (2017) · Nature Human Behaviour

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 326

Low Levels of Sex Hormone-binding Globulin and Testosterone Predict the Development of Non-Insulin-dependent Diabetes Mellitus in Men

Haffner, S. M., Shaten, J., Stem, M. P., Smith, G. D., Kuller, L., & MRFIT Research Group (1996) · American Journal of Epidemiology

Hormonal and reproductive studiesDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 320

Apparent latent structure within the UK Biobank sample has implications for epidemiological analysis

Haworth, S., Mitchell, R., Corbin, L., Wade, K. H., Dudding, T., Budu-Aggrey, A., Carslake, D., Hemani, G., Paternoster, L., Smith, G. D., et al. (2019) · Nature Communications

Genetic Associations and EpidemiologyRace, Genetics, and Society

Cited by 314

Association of genetic variants related to CETP inhibitors and statins with lipoprotein levels and cardiovascular risk

Ference, B. A., Kastelein, J. J. P., Ginsberg, H. N., Chapman, M. J., Nicholls, S. J., Ray, K. K., Packard, C. J., Laufs, U., Brook, R. D., Oliver-Williams, C., et al. (2017) · JAMA

Lipoproteins and Cardiovascular HealthGenetic Associations and Epidemiology

Cited by 304

Education and myopia: assessing the direction of causality by mendelian randomisation

Mountjoy, E., Davies, N. M., Plotnikov, D., Smith, G. D., Rodriguez, S., Williams, C. E., Guggenheim, J. A., & Atan, D. (2018) · BMJ

Ophthalmology and Visual Impairment StudiesGenetic Associations and Epidemiology

Cited by 299

Metabolic Signatures of Adiposity in Young Adults: Mendelian Randomization Analysis and Effects of Weight Change

Würtz, P., Wang, Q., Kangas, A. J., Richmond, R. C., Skarp, J., Tiainen, M., Tynkkynen, T., Soininen, P., Havulinna, A. S., Kaakinen, M., et al. (2014) · PLoS Medicine

Adipokines, Inflammation, and Metabolic DiseasesMetabolomics and Mass Spectrometry Studies

Cited by 280

How independent are “independent” effects? relative risk estimation when correlated exposures are measured imprecisely

Phillips, A. N., & Smith, G. D. (1991) · Journal of Clinical Epidemiology

Statistical Methods in EpidemiologyAdvanced Causal Inference Techniques

Cited by 275

Assessing Intrauterine Influences on Offspring Health Outcomes: Can Epidemiological Studies Yield Robust Findings?

Smith, G. D. (2008) · Basic & Clinical Pharmacology & Toxicology

Birth, Development, and HealthHealth, Environment, Cognitive Aging

Cited by 257

Ecological study of social fragmentation, poverty, and suicide

Whitley, E., Gunnell, D., Dorling, D., & Smith, G. D. (1999) · BMJ

Suicide and Self-Harm StudiesHealth disparities and outcomes

Cited by 250

Prenatal and early life influences on epigenetic age in children: A study of mother–offspring pairs from two cohort studies

Simpkin, A. J., Hemani, G., Suderman, M., Gaunt, T. R., Lyttleton, O., Mcardle, W. L., Ring, S. M., Sharp, G. C., Tilling, K., Horvath, S., et al. (2016) · Human Molecular Genetics

Epigenetics and DNA MethylationBirth, Development, and Health

Cited by 246

A road map for efficient and reliable human genome epidemiology.

The Human Genome Epidemiology Network and the Network of Investigator Networks, Ioannidis, J. P. A., Gwinn, M., Little, J., Higgins, J. P. T., Bernstein, J. L., Boffetta, P., Bondy, M., Bray, M. S., Brenchley, P. E., et al. (2006) · Nature Genetics

Genetic Associations and EpidemiologyMeta-analysis and systematic reviews

Cited by 244

Sex matters: secular and geographical trends in sex differences in coronary heart disease mortality

Lawlor, D. A., Ebrahim, S., & Smith, G. D. (2001) · BMJ

Sex and Gender in HealthcareCardiovascular Health and Risk Factors

Cited by 213

Genome-wide association and longitudinal analyses reveal genetic loci linking pubertal height growth, pubertal timing and childhood adiposity

Cousminer, D. L., Berry, D. J., Timpson, N. J., Ang, W., Thiering, E., Byrne, E. M., Taal, H. R., Huikari, V., Bradfield, J. P., Kerkhof, M., et al. (2013) · Human Molecular Genetics

Hypothalamic control of reproductive hormonesGenetic Associations and Epidemiology

Cited by 209

A genome‐wide approach to children's aggressive behavior: The EAGLE consortium

Pappa, I., St Pourcain, B., Benke, K., Cavadino, A., Hakulinen, C., Nivard, M. G., Nolte, I. M., Tiesler, C. M. T., Bakermans‐Kranenburg, M. J., Davies, G. E., et al. (2016) · American Journal of Medical Genetics Part B: Neuropsychiatric Genetics

Genetic Associations and EpidemiologyNeurotransmitter Receptor Influence on Behavior

Cited by 195

Investigating the possible causal association of smoking with depression and anxiety using Mendelian randomisation meta-analysis: the CARTA consortium

Taylor, A. E., Fluharty, M. E., Bjørngaard, J. H., Gabrielsen, M. E., Skorpen, F., Marioni, R. E., Campbell, A., Engmann, J., Mirza, S. S., Loukola, A., et al. (2014) · BMJ Open

Smoking Behavior and CessationGenetic Associations and Epidemiology

Cited by 187

Prenatal exposure to maternal cigarette smoking and DNA methylation: epigenome-wide association in a discovery sample of adolescents and replication in an independent cohort at birth through 17 years of age

Lee, K. W. K., Richmond, R., Hu, P., French, L., Shin, J., Bourdon, C., Reischl, E., Waldenberger, M., Zeilinger, S., Gaunt, T., et al. (2015) · Environmental Health Perspectives

Epigenetics and DNA MethylationSmoking Behavior and Cessation

Cited by 186

Prescription Opioid Use and Risk for Major Depressive Disorder and Anxiety and Stress-Related Disorders: A Multivariable Mendelian Randomization Analysis

Rosoff, D. B., Smith, G. D., & Lohoff, F. W. (2021) · JAMA Psychiatry

Opioid Use Disorder TreatmentGenetic Associations and Epidemiology

Cited by 186

BMI as a Modifiable Risk Factor for Type 2 Diabetes: Refining and Understanding Causal Estimates Using Mendelian Randomization

Corbin, L. J., Richmond, R. C., Wade, K. H., Burgess, S., Bowden, J., Smith, G. D., & Timpson, N. J. (2016) · Diabetes

Genetic Associations and EpidemiologyDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 184

Meta-analysis: Unresolved issues and future developments

Smith, G. D., & Egger, M. (1998) · BMJ

Patient-Provider Communication in HealthcareMeta-analysis and systematic reviews

Cited by 175

Meta-analysis. Beyond the grand mean?

Smith, G. D., Egger, M., & Phillips, A. N. (1997) · BMJ

Virus-based gene therapy researchMeta-analysis and systematic reviews

Cited by 174