Evans, David M.

The MR-Base platform supports systematic causal inference across the human phenome

Hemani, G., Zheng, J., Elsworth, B., Wade, K. H., Haberland, V., Baird, D., Laurin, C., Burgess, S., Bowden, J., Langdon, R., et al. (2018) · eLife

Genetic Associations and EpidemiologyBioinformatics and Genomic Networks

Cited by 7,959

Common variants near MC4R are associated with fat mass, weight and risk of obesity

The Prostate, L., Loos, R. J. F., KORA, Study, N. H., Initiative, D. G., Study, T. S., The Wellcome Trust Case Control Consortium, FUSION, Lindgren, C. M., Li, S., et al. (2008) · Nature Genetics

Genetic Associations and EpidemiologyRegulation of Appetite and Obesity

Cited by 1,325

Genome-wide association study identifies 74 loci associated with educational attainment

Okbay, A., Beauchamp, J. P., Fontana, M. A., Lee, J. J., Pers, T. H., Rietveld, C. A., Turley, P., Chen, G.-B., Emilsson, V., Meddens, S. F. W., et al. (2016) · Nature

Genetic Associations and EpidemiologyCognitive Abilities and Testing

Cited by 1,297

The UK10K project identifies rare variants in health and disease

The UK10K Consortium, Writing group, Walter, K., Min, J. L., Huang, J., Crooks, L., Memari, Y., McCarthy, S., Perry, J. R. B., Xu, C., et al. (2015) · Nature

Genetic Associations and EpidemiologyGenomics and Rare Diseases

Cited by 1,040

LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis

Zheng, J., Erzurumluoglu, A. M., Elsworth, B. L., Kemp, J. P., Howe, L., Haycock, P. C., Hemani, G., Tansey, K., Laurin, C., Early Genetics and Lifecourse Epidemiology (EAGLE) Eczema Consortium, et al. (2017) · Bioinformatics

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 869

GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment

Rietveld, C. A., Medland, S. E., Derringer, J., Yang, J., Esko, T., Martin, N. W., Westra, H.-J., Shakhbazov, K., Abdellaoui, A., Agrawal, A., et al. (2013) · Science

Genetic Associations and EpidemiologyCognitive Abilities and Testing

Cited by 827

Genome-wide association analysis identifies 20 loci that influence adult height

Initiative, D. G., Weedon, M. N., The Wellcome Trust Case Control Consortium, Cambridge GEM Consortium, Lango, H., Lindgren, C. M., Wallace, C., Evans, D. M., Mangino, M., Freathy, R. M., et al. (2008) · Nature Genetics

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 826

Collider scope: when selection bias can substantially influence observed associations

Munafò, M. R., Tilling, K., Taylor, A. E., Evans, D. M., & Davey Smith, G. (2018) · International Journal of Epidemiology

Statistical Methods in EpidemiologyGenetic Associations and Epidemiology

Cited by 813

An atlas of genetic influences on osteoporosis in humans and mice

23andMe Research Team, Morris, J. A., Kemp, J. P., Youlten, S. E., Laurent, L., Logan, J. G., Chai, R. C., Vulpescu, N. A., Forgetta, V., Kleinman, A., et al. (2019) · Nature Genetics

Bone health and osteoporosis researchGenetic Associations and Epidemiology

Cited by 773

Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals

Okbay, A., Wu, Y., Wang, N., Jayashankar, H., Bennett, M., Nehzati, S. M., Sidorenko, J., Kweon, H., Goldman, G., Gjorgjieva, T., et al. (2022) · Nature Genetics

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 654

Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture

Berndt, S. I., Gustafsson, S., Mägi, R., Ganna, A., Wheeler, E., Feitosa, M. F., Justice, A. E., Monda, K. L., Croteau-Chonka, D. C., Day, F. R., et al. (2013) · Nature Genetics

Genetic Associations and EpidemiologyGenetics and Physical Performance

Cited by 646

Systematic identification of genetic influences on methylation across the human life course

Gaunt, T. R., Shihab, H. A., Hemani, G., Min, J. L., Woodward, G., Lyttleton, O., Zheng, J., Duggirala, A., McArdle, W. L., Ho, K., et al. (2016) · Genome Biology

Epigenetics and DNA MethylationGenetic Associations and Epidemiology

Cited by 598

Genome-wide meta-analyses of multiancestry cohorts identify multiple new susceptibility loci for refractive error and myopia

Consortium for Refractive Error and Myopia (CREAM), Verhoeven, V. J. M., The Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) Research Group, Wellcome Trust Case Control Consortium 2 (WTCCC2), The Fuchs' Genetics Multi-Center Study Group, Hysi, P. G., Wojciechowski, R., Fan, Q., Guggenheim, J. A., Höhn, R., et al. (2013) · Nature Genetics

Ophthalmology and Visual Impairment StudiesGenetic Associations and Epidemiology

Cited by 487

Patterns of Cis Regulatory Variation in Diverse Human Populations

Stranger, B. E., Montgomery, S. B., Dimas, A. S., Parts, L., Stegle, O., Ingle, C. E., Sekowska, M., Smith, G. D., Evans, D., Gutierrez-Arcelus, M., et al. (2012) · PLoS Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 470

Genome-wide meta-analysis identifies new susceptibility loci for migraine

North American Brain Expression Consortium, Anttila, V., UK Brain Expression Consortium, the International Headache Genetics Consortium, Winsvold, B. S., Gormley, P., Kurth, T., Bettella, F., McMahon, G., Kallela, M., et al. (2013) · Nature Genetics

Migraine and Headache StudiesGenetic Associations and Epidemiology

Cited by 410

Genetic risk for autism spectrum disorders and neuropsychiatric variation in the general population

iPSYCH-SSI-Broad Autism Group, Robinson, E. B., St Pourcain, B., Anttila, V., Kosmicki, J. A., Bulik-Sullivan, B., Grove, J., Maller, J., Samocha, K. E., Sanders, S. J., et al. (2016) · Nature Genetics

Autism Spectrum Disorder ResearchGenetic Associations and Epidemiology

Cited by 367

Meta-analysis of genome-wide association studies for neuroticism, and the polygenic association with major depressive disorder

de Moor, M. H. M., van den Berg, S. M., Verweij, K. J. H., Krueger, R. F., Luciano, M., Arias Vasquez, A., Matteson, L. K., Derringer, J., Esko, T., Amin, N., et al. (2015) · JAMA Psychiatry

Genetic Associations and EpidemiologyNeurotransmitter Receptor Influence on Behavior

Cited by 345

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

New loci associated with birth weight identify genetic links between intrauterine growth and adult height and metabolism

The Meta-Analyses of Glucose- and Insulin-related traits Consortium (MAGIC), Horikoshi, M., Early Growth Genetics (EGG) Consortium, Yaghootkar, H., Mook-Kanamori, D. O., Sovio, U., Taal, H. R., Hennig, B. J., Bradfield, J. P., St Pourcain, B., et al. (2013) · Nature Genetics

Birth, Development, and HealthGenetic Associations and Epidemiology

Cited by 309

Harnessing the information contained within genome-wide association studies to improve individual prediction of complex disease risk

Evans, D. M., Visscher, P. M., & Wray, N. R. (2009) · Human Molecular Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 297

Genetic evidence for causal relationships between maternal obesity-related traits and birth weight

Tyrrell, J., Richmond, R. C., Palmer, T. M., Feenstra, B., Rangarajan, J., Metrustry, S., Cavadino, A., Paternoster, L., Armstrong, L. L., De Silva, N. M. G., et al. (2016) · JAMA

Birth, Development, and HealthGestational Diabetes Research and Management

Cited by 284

A genome-wide association meta-analysis of self-reported allergy identifies shared and allergy-specific susceptibility loci

Hinds, D. A., McMahon, G., Kiefer, A. K., Do, C. B., Eriksson, N., Evans, D. M., St Pourcain, B., Ring, S. M., Mountain, J. L., Francke, U., et al. (2013) · Nature Genetics

Genetic Associations and EpidemiologyAsthma and respiratory diseases

Cited by 246

Genome-wide association analysis identifies 11 risk variants associated with the asthma with hay fever phenotype

Ferreira, M. A. R., Matheson, M. C., Tang, C. S., Granell, R., Ang, W., Hui, J., Kiefer, A. K., Duffy, D. L., Baltic, S., Danoy, P., et al. (2014) · Journal of Allergy and Clinical Immunology

Asthma and respiratory diseasesGenetic Associations and Epidemiology

Cited by 216

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