Butterworth, Adam S.

Genome‐wide mapping of plasma protein QTLs identifies putatively causal genes and pathways for cardiovascular disease

Yao, C., Chen, G., Song, C., Keefe, J., Mendelson, M., Huan, T., Sun, B. B., Laser, A., Maranville, J. C., Wu, H., et al. (2018) · Nature Communications

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 431

Lifestyle factors and risk of multimorbidity of cancer and cardiometabolic diseases: a multinational cohort study

Freisling, H., Viallon, V., Lennon, H., Bagnardi, V., Ricci, C., Butterworth, A. S., Sweeting, M., Muller, D., Romieu, I., Bazelle, P., et al. (2020) · BMC Medicine

Cancer Risks and FactorsNutritional Studies and Diet

Cited by 376

Functional IL6R 358Ala Allele Impairs Classical IL-6 Receptor Signaling and Influences Risk of Diverse Inflammatory Diseases

Ferreira, R. C., Freitag, D. F., Cutler, A. J., Howson, J. M. M., Rainbow, D. B., Smyth, D. J., Kaptoge, S., Clarke, P., Boreham, C., Coulson, R. M., et al. (2013) · PLoS Genetics

Cytokine Signaling Pathways and InteractionsGenetic Associations and Epidemiology

Cited by 316

Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension

CHARGE-Heart Failure Consortium, Surendran, P., EchoGen Consortium, METASTROKE Consortium, GIANT Consortium, EPIC-InterAct Consortium, Study, L. C., Wellcome Trust Case Control Consortium, Understanding Society Scientific Group, EPIC-CVD Consortium, et al. (2016) · Nature Genetics

Genetic Associations and EpidemiologyBlood Pressure and Hypertension Studies

Cited by 312

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

Use of Mendelian randomisation to assess potential benefit of clinical intervention.

Burgess, S., Butterworth, A., Malarstig, A., & Thompson, S. G. (2012) · BMJ

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 292

Glycated hemoglobin measurement and prediction of cardiovascular disease

Di Angelantonio, E., Gao, P., Khan, H., Butterworth, A. S., Wormser, D., Kaptoge, S., Kondapally Seshasai, S. R., Thompson, A., Sarwar, N., Willeit, P., et al. (2014) · JAMA

Diabetes, Cardiovascular Risks, and LipoproteinsDiabetes Management and Research

Cited by 231

Leucocyte telomere length and risk of type 2 diabetes mellitus: new prospective cohort study and literature-based meta-analysis

Willeit, P., Raschenberger, J., Heydon, E. E., Tsimikas, S., Haun, M., Mayr, A., Weger, S., Witztum, J. L., Butterworth, A. S., Willeit, J., et al. (2014) · PLoS ONE

Telomeres, Telomerase, and SenescenceGenetic Associations and Epidemiology

Cited by 211

Body mass index and all cause mortality in HUNT and UK Biobank studies: linear and non-linear mendelian randomisation analyses

Sun, Y.-Q., Burgess, S., Staley, J. R., Wood, A. M., Bell, S., Kaptoge, S. K., Guo, Q., Bolton, T. R., Mason, A. M., Butterworth, A. S., et al. (2019) · BMJ

Genetic Associations and EpidemiologyObesity, Physical Activity, Diet

Cited by 193

Consumption of Meat, Fish, Dairy Products, and Eggs and Risk of Ischemic Heart Disease: A Prospective Study of 7198 Incident Cases Among 409 885 Participants in the Pan-European EPIC Cohort

Key, T. J., Appleby, P. N., Bradbury, K. E., Sweeting, M., Wood, A., Johansson, I., Kühn, T., Steur, M., Weiderpass, E., Wennberg, M., et al. (2019) · Circulation

Nutritional Studies and DietFatty Acid Research and Health

Cited by 147

Seven Lipoprotein Lipase Gene Polymorphisms, Lipid Fractions, and Coronary Disease: A HuGE Association Review and Meta-Analysis

Sagoo, G. S., Tatt, I., Salanti, G., Butterworth, A. S., Sarwar, N., van Maarle, M., Jukema, J. W., Wiman, B., Kastelein, J. J. P., Bennet, A. M., et al. (2008) · American Journal of Epidemiology

Lipid metabolism and disordersGenetic Associations and Epidemiology

Cited by 132

Metabolomic Consequences of Genetic Inhibition of PCSK9 Compared With Statin Treatment

Sliz, E., Kettunen, J., Holmes, M. V., Williams, C. O., Boachie, C., Wang, Q., Männikkö, M., Sebert, S., Walters, R., Lin, K., et al. (2018) · Circulation

Lipoproteins and Cardiovascular HealthCholesterol and Lipid Metabolism

Cited by 109

Metabolic profiling of angiopoietin-like protein 3 and 4 inhibition: a drug-target Mendelian randomization analysis

Wang, Q., Oliver-Williams, C., Raitakari, O. T., Viikari, J., Lehtimäki, T., Kähönen, M., Järvelin, M.-R., Salomaa, V., Perola, M., Danesh, J., et al. (2021) · European Heart Journal

Lipid metabolism and disordersLipoproteins and Cardiovascular Health

Cited by 89

Parity, breastfeeding and risk of coronary heart disease: A pan-European case–cohort study

Peters, S. A., van der Schouw, Y. T., Wood, A. M., Sweeting, M. J., Moons, K. G., Weiderpass, E., Arriola, L., Benetou, V., Boeing, H., Bonnet, F., et al. (2016) · European Journal of Preventive Cardiology

Cancer Risks and FactorsBreastfeeding Practices and Influences

Cited by 80

Mitochondrial DNA variants modulate N-formylmethionine, proteostasis and risk of late-onset human diseases

Cai, N., Gomez-Duran, A., Yonova-Doing, E., Kundu, K., Burgess, A. I., Golder, Z. J., Calabrese, C., Bonder, M. J., Camacho, M., Lawson, R. A., et al. (2021) · Nature Medicine

Mitochondrial Function and PathologyGenetic Associations and Epidemiology

Cited by 73

A comparison of Cox and logistic regression for use in genome-wide association studies of cohort and case-cohort design

on behalf of the EPIC-CVD Consortium, Staley, J. R., Jones, E., Kaptoge, S., Butterworth, A. S., Sweeting, M. J., Wood, A. M., & Howson, J. M. M. (2017) · European Journal of Human Genetics

Genetic Associations and EpidemiologyStatistical Methods in Epidemiology

Cited by 58

Lipoprotein signatures of cholesteryl ester transfer protein and HMG-CoA reductase inhibition

Kettunen, J., Holmes, M. V., Allara, E., Anufrieva, O., Ohukainen, P., Oliver-Williams, C., Wang, Q., Tillin, T., Hughes, A. D., Kähönen, M., et al. (2019) · PLOS Biology

Lipoproteins and Cardiovascular HealthCholesterol and Lipid Metabolism

Cited by 47

Association of shorter leucocyte telomere length with risk of frailty

Bountziouka, V., Nelson, C. P., Codd, V., Wang, Q., Musicha, C., Allara, E., Kaptoge, S., Di Angelantonio, E., Butterworth, A. S., Thompson, J. R., et al. (2022) · Journal of Cachexia, Sarcopenia and Muscle

Frailty in Older AdultsTelomeres, Telomerase, and Senescence

Cited by 36

Identifying therapeutic targets for cancer among 2074 circulating proteins and risk of nine cancers

Smith-Byrne, K., Hedman, Å., Dimitriou, M., Desai, T., Sokolov, A. V., Schioth, H. B., Koprulu, M., Pietzner, M., Langenberg, C., Atkins, J., et al. (2024) · Nature Communications

Genetic Associations and EpidemiologyCancer Genomics and Diagnostics

Cited by 33

Integrated analyses of growth differentiation factor-15 concentration and cardiometabolic diseases in humans

Lemmelä, S., Wigmore, E. M., Benner, C., Havulinna, A. S., Ong, R. M., Kempf, T., Wollert, K. C., Blankenberg, S., Zeller, T., Peters, J. E., et al. (2022) · eLife

GDF15 and Related BiomarkersGenetic Associations and Epidemiology

Cited by 28

Mapping genetic determinants of 184 circulating proteins in 26,494 individuals to connect proteins and diseases

Macdonald-Dunlop, E., Klarić, L., Folkersen, L., Timmers, P. R. H. J., Gustafsson, S., Zhao, J. H., Eriksson, N., Richmond, A., Enroth, S., Mattsson-Carlgren, N., et al. (2021) · medRxiv

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 9