Butterworth, Adam S.
University of Cambridge · National Institute for Health and Care Research · Health Data Research UK · Addenbrooke's Hospital
45 papers on CoChatORCID 0000-0002-6915-9015
Most cited papers
- Verified
Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data
Burgess, S., Butterworth, A., & Thompson, S. G. (2013) · Genetic Epidemiology
Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques
Cited by 6,050
- Verified
Genomic atlas of the human plasma proteome
Sun, B. B., Maranville, J. C., Peters, J. E., Stacey, D., Staley, J. R., Blackshaw, J., Burgess, S., Jiang, T., Paige, E., Surendran, P., et al. (2018) · Nature
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 2,268
- Verified
SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe
SCORE2 working group and ESC Cardiovascular risk collaboration, Hageman, S., Pennells, L., Ojeda, F., Kaptoge, S., Kuulasmaa, K., de Vries, T., Xu, Z., Kee, F., Chung, R., et al. (2021) · European Heart Journal
Health Promotion and Cardiovascular PreventionCardiovascular Health and Risk Factors
Cited by 1,810
- Verified
PhenoScanner: a database of human genotype-phenotype associations.
Staley, J. R., Blackshaw, J., Kamat, M. A., Ellis, S., Surendran, P., Sun, B. B., Paul, D. S., Freitag, D., Burgess, S., Danesh, J., et al. (2016) · Bioinformatics
Genetic Associations and EpidemiologyBioinformatics and Genomic Networks
Cited by 1,479
- Verified
Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits
Program, T. M. V., Evangelou, E., Warren, H. R., Mosen-Ansorena, D., Mifsud, B., Pazoki, R., Gao, H., Ntritsos, G., Dimou, N., Cabrera, C. P., et al. (2018) · Nature Genetics
Genetic Associations and EpidemiologyBlood Pressure and Hypertension Studies
Cited by 1,381
- Verified
The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease
Astle, W. J., Elding, H., Jiang, T., Allen, D., Ruklisa, D., Mann, A. L., Mead, D., Bouman, H., Riveros-Mckay, F., Kostadima, M. A., et al. (2016) · Cell
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 1,224
- Verified · note
Risk thresholds for alcohol consumption: combined analysis of individual-participant data for 599 912 current drinkers in 83 prospective studies
Wood, A. M., Kaptoge, S., Butterworth, A. S., Willeit, P., Warnakula, S., Bolton, T., Paige, E., Paul, D. S., Sweeting, M., Burgess, S., et al. (2018) · The Lancet
Alcohol Consumption and Health EffectsSubstance Abuse Treatment and Outcomes
Cited by 1,188
- Verified
Association of cardiometabolic multimorbidity with mortality
Di Angelantonio, E., Kaptoge, S., Wormser, D., Willeit, P., Butterworth, A. S., Bansal, N., O’Keeffe, L. M., Gao, P., Wood, A. M., Burgess, S., et al. (2015) · JAMA
Chronic Disease Management StrategiesDiabetes, Cardiovascular Risks, and Lipoproteins
Cited by 1,155
- Verified · note
Association of Dietary, Circulating, and Supplement Fatty Acids With Coronary Risk: A Systematic Review and Meta-analysis
Chowdhury, R., Warnakula, S., Kunutsor, S., Crowe, F., Ward, H. A., Johnson, L., Franco, O. H., Butterworth, A. S., Forouhi, N. G., Thompson, S. G., et al. (2014) · Annals of Internal Medicine
Fatty Acid Research and HealthNutritional Studies and Diet
Cited by 1,139
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The genetic architecture of type 2 diabetes
Fuchsberger, C., Flannick, J., Teslovich, T. M., Mahajan, A., Agarwala, V., Gaulton, K. J., Ma, C., Fontanillas, P., Moutsianas, L., McCarthy, D. J., et al. (2016) · Nature
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 1,051
- Verified
Leucocyte telomere length and risk of cardiovascular disease: systematic review and meta-analysis
Haycock, P. C., Heydon, E. E., Kaptoge, S., Butterworth, A. S., Thompson, A., & Willeit, P. (2014) · BMJ
Telomeres, Telomerase, and SenescenceGenetic Associations and Epidemiology
Cited by 856
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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
- Verified
Mendelian randomization for cardiovascular diseases: Principles and applications
Larsson, S. C., Butterworth, A. S., & Burgess, S. (2023) · European Heart Journal
Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques
Cited by 735
- Verified
Genomic and drug target evaluation of 90 cardiovascular proteins in 30,931 individuals
Folkersen, L., Gustafsson, S., Wang, Q., Hansen, D. H., Hedman, Å. K., Schork, A., Page, K., Zhernakova, D. V., Wu, Y., Peters, J., et al. (2020) · Nature Metabolism
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 705
- Verified
Association of Triglyceride-Lowering LPL Variants and LDL-C–Lowering LDLR Variants With Risk of Coronary Heart Disease
Ference, B. A., Kastelein, J. J. P., Ray, K. K., Ginsberg, H. N., Chapman, M. J., Packard, C. J., Laufs, U., Oliver-Williams, C., Wood, A. M., Butterworth, A. S., et al. (2019) · JAMA
Lipoproteins and Cardiovascular HealthLipid metabolism and disorders
Cited by 703
- Verified
Association of LPA Variants With Risk of Coronary Disease and the Implications for Lipoprotein(a)-Lowering Therapies: A Mendelian Randomization Analysis
Burgess, S., Ference, B. A., Staley, J. R., Freitag, D. F., Mason, A. M., Nielsen, S. F., Willeit, P., Young, R., Surendran, P., Karthikeyan, S., et al. (2018) · JAMA Cardiology
Lipoproteins and Cardiovascular HealthGenetic Associations and Epidemiology
Cited by 689
- Verified
The Polygenic and Monogenic Basis of Blood Traits and Diseases
Vuckovic, D., Bao, E. L., Akbari, P., Lareau, C. A., Mousas, A., Jiang, T., Chen, M.-H., Raffield, L. M., Tardaguila, M., Huffman, J. E., et al. (2020) · Cell
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 671
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Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations
Chen, M.-H., Raffield, L. M., Mousas, A., Sakaue, S., Huffman, J. E., Moscati, A., Trivedi, B., Jiang, T., Akbari, P., Vuckovic, D., et al. (2020) · Cell
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 661
- Verified
Rare and low-frequency coding variants alter human adult height
Marouli, E., Graff, M., Medina-Gomez, C., Lo, K. S., Wood, A. R., Kjaer, T. R., Fine, R. S., Lu, Y., Schurmann, C., Highland, H. M., et al. (2017) · Nature
Genetic Associations and EpidemiologyGenetics and Physical Performance
Cited by 610
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Genetic drivers of heterogeneity in type 2 diabetes pathophysiology
Suzuki, K., Hatzikotoulas, K., Southam, L., Taylor, H. J., Yin, X., Lorenz, K. M., Mandla, R., Huerta-Chagoya, A., Melloni, G. E. M., Kanoni, S., et al. (2024) · Nature
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 606
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Polygenic Risk Score Identifies Subgroup With Higher Burden of Atherosclerosis and Greater Relative Benefit From Statin Therapy in the Primary Prevention Setting
Natarajan, P., Young, R., Stitziel, N. O., Padmanabhan, S., Baber, U., Mehran, R., Sartori, S., Fuster, V., Reilly, D. F., Butterworth, A., et al. (2017) · Circulation
Lipoproteins and Cardiovascular HealthGenetic Associations and Epidemiology
Cited by 570
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Rare variant in scavenger receptor BI raises HDL cholesterol and increases risk of coronary heart disease
Zanoni, P., Khetarpal, S. A., Larach, D. B., Hancock-Cerutti, W. F., Millar, J. S., Cuchel, M., DerOhannessian, S., Kontush, A., Surendran, P., Saleheen, D., et al. (2016) · Science
Cholesterol and Lipid MetabolismLipoproteins and Cardiovascular Health
Cited by 545
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Network Mendelian randomization: using genetic variants as instrumental variables to investigate mediation in causal pathways.
Burgess, S., Daniel, R. M., Butterworth, A. S., Thompson, S. G., & the EPIC-InterAct Consortium (2015) · International Journal of Epidemiology
Advanced Causal Inference TechniquesGenetic Associations and Epidemiology
Cited by 543
- Verified
Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes
Mahajan, A., Wessel, J., Willems, S. M., Zhao, W., Robertson, N. R., Chu, A. Y., Gan, W., Kitajima, H., Taliun, D., Rayner, N. W., et al. (2018) · Nature Genetics
Genetic Associations and EpidemiologyGenomics and Rare Diseases
Cited by 442
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