Gaunt, Tom R.
University of Bristol · MRC Integrative Epidemiology Unit
27 papers on CoChatORCID 0000-0003-0924-3247
Most cited papers
- Verified
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
- Verified
Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity
Wahl, S., Drong, A., Lehne, B., Loh, M., Scott, W. R., Kunze, S., Tsai, P.-C., Ried, J. S., Zhang, W., Yang, Y., et al. (2017) · Nature
Epigenetics and DNA MethylationGenetic Associations and Epidemiology
Cited by 945
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DNA methylation in newborns and maternal smoking in pregnancy: genome-wide consortium meta-analysis
Joubert, B. R., Felix, J. F., Yousefi, P., Bakulski, K. M., Just, A. C., Breton, C., Reese, S. E., Markunas, C. A., Richmond, R. C., Xu, C.-J., et al. (2016) · The American Journal of Human Genetics
Epigenetics and DNA MethylationBirth, Development, and Health
Cited by 886
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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
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Phenome-wide Mendelian randomization mapping the influence of the plasma proteome on complex diseases.
Zheng, J., Haberland, V., Baird, D., Walker, V., Haycock, P., Hurle, M., Gutteridge, A., Erola, P., Liu, Y., Luo, S., et al. (2019) · Nature Genetics
Genetic Associations and EpidemiologyBioinformatics and Genomic Networks
Cited by 812
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Mendelian randomization of blood lipids for coronary heart disease
Holmes, M. V., Asselbergs, F. W., Palmer, T. M., Drenos, F., Lanktree, M. B., Nelson, C. P., Dale, C. E., Padmanabhan, S., Finan, C., Swerdlow, D. I., et al. (2015) · European Heart Journal
Genetic Associations and EpidemiologyLipoproteins and Cardiovascular Health
Cited by 748
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HMG-coenzyme A reductase inhibition, type 2 diabetes, and bodyweight: evidence from genetic analysis and randomised trials
Swerdlow, D. I., Preiss, D., Kuchenbaecker, K. B., Holmes, M. V., Engmann, J. E. L., Shah, T., Sofat, R., Stender, S., Johnson, P. C. D., Scott, R. A., et al. (2015) · The Lancet
Lipoproteins and Cardiovascular HealthGenetic Associations and Epidemiology
Cited by 680
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Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data
Holmes, M. V., Dale, C. E., Zuccolo, L., Silverwood, R. J., Guo, Y., Ye, Z., Prieto-Merino, D., Dehghan, A., Trompet, S., Wong, A., et al. (2014) · BMJ
Alcohol Consumption and Health EffectsGenetic Associations and Epidemiology
Cited by 669
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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
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Common and rare variant association analyses in amyotrophic lateral sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology
van Rheenen, W., van der Spek, R. A. A., Bakker, M. K., van Vugt, J. J. F. A., Hop, P. J., Zwamborn, R. A. J., de Klein, N., Westra, H.-J., Bakker, O. B., Deelen, P., et al. (2021) · Nature Genetics
Amyotrophic Lateral Sclerosis ResearchGenetic Associations and Epidemiology
Cited by 542
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Identification of new therapeutic targets for osteoarthritis through genome-wide analyses of UK Biobank data
arcOGEN Consortium, Tachmazidou, I., Hatzikotoulas, K., Southam, L., Esparza-Gordillo, J., Haberland, V., Zheng, J., Johnson, T., Koprulu, M., Zengini, E., et al. (2019) · Nature Genetics
Osteoarthritis Treatment and MechanismsGenetic Associations and Epidemiology
Cited by 516
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Genomic and phenotypic insights from an atlas of genetic effects on DNA methylation
Min, J. L., Hemani, G., Hannon, E., Dekkers, K. F., Castillo-Fernandez, J., Luijk, R., Carnero-Montoro, E., Lawson, D. J., Burrows, K., Suderman, M., et al. (2021) · Nature Genetics
Epigenetics and DNA MethylationGenetic Associations and Epidemiology
Cited by 506
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Prenatal exposure to maternal smoking and offspring DNA methylation across the lifecourse: findings from the Avon Longitudinal Study of Parents and Children (ALSPAC)
Richmond, R. C., Simpkin, A. J., Woodward, G., Gaunt, T. R., Lyttleton, O., McArdle, W. L., Ring, S. M., Smith, A. D. A. C., Timpson, N. J., Tilling, K., et al. (2015) · Human Molecular Genetics
Epigenetics and DNA MethylationBirth, Development, and Health
Cited by 372
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Causal Associations of Adiposity and Body Fat Distribution With Coronary Heart Disease, Stroke Subtypes, and Type 2 Diabetes Mellitus: A Mendelian Randomization Analysis
Dale, C. E., Fatemifar, G., Palmer, T. M., White, J., Prieto-Merino, D., Zabaneh, D., Engmann, J. E. L., Shah, T., Wong, A., Warren, H. R., et al. (2017) · Circulation
Genetic Associations and EpidemiologyCardiovascular Disease and Adiposity
Cited by 345
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Brain expression quantitative trait locus and network analyses reveal downstream effects and putative drivers for brain-related diseases
de Klein, N., Tsai, E. A., Vochteloo, M., Baird, D., Huang, Y., Chen, C.-Y., van Dam, S., Oelen, R., Deelen, P., Bakker, O. B., et al. (2023) · Nature Genetics
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 272
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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
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Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception
Slieker, R. C., Relton, C. L., Gaunt, T. R., Slagboom, P. E., & Heijmans, B. T. (2018) · Epigenetics & Chromatin
Epigenetics and DNA MethylationGenomics and Chromatin Dynamics
Cited by 207
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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
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Epigenome-wide change and variation in DNA methylation in childhood: trajectories from birth to late adolescence
Mulder, R. H., Neumann, A., Cecil, C. A. M., Walton, E., Houtepen, L. C., Simpkin, A. J., Rijlaarsdam, J., Heijmans, B. T., Gaunt, T. R., Felix, J. F., et al. (2021) · Human Molecular Genetics
Epigenetics and DNA MethylationBirth, Development, and Health
Cited by 165
- Verified
Plasma urate concentration and risk of coronary heart disease: a Mendelian randomisation analysis.
White, J., Sofat, R., Hemani, G., Shah, T., Engmann, J., Dale, C., Shah, S., Kruger, F. A., Giambartolomei, C., Swerdlow, D. I., et al. (2016) · The Lancet Diabetes & Endocrinology
Gout, Hyperuricemia, Uric AcidGenetic Associations and Epidemiology
Cited by 132
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Whole-genome sequence-based analysis of thyroid function
Taylor, P. N., Porcu, E., Chew, S., Campbell, P. J., Traglia, M., Brown, S. J., Mullin, B. H., Shihab, H. A., Min, J., Walter, K., et al. (2015) · Nature Communications
Genetic Associations and EpidemiologyThyroid Disorders and Treatments
Cited by 104
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DNA methylation and substance-use risk: a prospective, genome-wide study spanning gestation to adolescence
Cecil, C. A. M., Walton, E., Smith, R. G., Viding, E., McCrory, E. J., Relton, C. L., Suderman, M., Pingault, J.-B., McArdle, W., Gaunt, T. R., et al. (2016) · Translational Psychiatry
Epigenetics and DNA MethylationGenetic Associations and Epidemiology
Cited by 101
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An epigenome-wide association meta-analysis of prenatal maternal stress in neonates: A model approach for replication
Rijlaarsdam, J., Pappa, I., Walton, E., Bakermans-Kranenburg, M. J., Mileva-Seitz, V. R., Rippe, R. C. A., Roza, S. J., Jaddoe, V. W. V., Verhulst, F. C., Felix, J. F., et al. (2016) · Epigenetics
Epigenetics and DNA MethylationBirth, Development, and Health
Cited by 97
- Verified
Automating Mendelian randomization through machine learning to construct a putative causal map of the human phenome
Hemani, G., Bowden, J., Haycock, P., Zheng, J., Davis, O., Flach, P., Gaunt, T., & Smith, G. D. (2017) · bioRxiv (Cold Spring Harbor Laboratory)
Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques
Cited by 85
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