Scott, Robert A.

Plasma proteomic associations with genetics and health in the UK Biobank

Sun, B. B., Chiou, J., Traylor, M., Benner, C., Hsu, Y.-H., Richardson, T. G., Surendran, P., Mahajan, A., Robins, C., Vasquez-Grinnell, S. G., et al. (2023) · Nature

Genetic Associations and EpidemiologyBioinformatics and Genomic Networks

Cited by 1,880

Genetic regulation of the human plasma proteome in 54,306 UK Biobank participants

Sun, B. B., Chiou, J., Traylor, M., Benner, C., Hsu, Y.-H., Richardson, T. G., Surendran, P., Mahajan, A., Robins, C., Vasquez-Grinnell, S. G., et al. (2022) · Nature

Genetic Associations and EpidemiologyBioinformatics and Genomic Networks

Cited by 1,833

Using published data in Mendelian randomization: a blueprint for efficient identification of causal risk factors

EPIC- InterAct Consortium, Burgess, S., Scott, R. A., Timpson, N. J., Davey Smith, G., & Thompson, S. G. (2015) · European Journal of Epidemiology

Genetic Associations and EpidemiologyAdvanced Causal Inference Techniques

Cited by 1,803

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

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

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

Mapping the proteo-genomic convergence of human diseases

Pietzner, M., Wheeler, E., Carrasco-Zanini, J., Cortes, A., Koprulu, M., Wörheide, M. A., Oerton, E., Cook, J., Stewart, I. D., Kerrison, N. D., et al. (2021) · Science

Genetic Associations and EpidemiologyBioinformatics and Genomic Networks

Cited by 657

Exome sequencing and characterization of 49,960 individuals in the UK Biobank

Van Hout, C. V., Tachmazidou, I., Backman, J. D., Hoffman, J. D., Liu, D., Pandey, A. K., Gonzaga-Jauregui, C., Khalid, S., Ye, B., Banerjee, N., et al. (2020) · Nature

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 561

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

Genetic Predisposition to an Impaired Metabolism of the Branched-Chain Amino Acids and Risk of Type 2 Diabetes: A Mendelian Randomisation Analysis

Lotta, L. A., Scott, R. A., Sharp, S. J., Burgess, S., Luan, J., Tillin, T., Schmidt, A. F., Imamura, F., Stewart, I. D., Perry, J. R. B., et al. (2016) · PLOS Medicine

Genetic Associations and EpidemiologyDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 417

Association Between Low-Density Lipoprotein Cholesterol–Lowering Genetic Variants and Risk of Type 2 Diabetes: A Meta-analysis

Lotta, L. A., Sharp, S. J., Burgess, S., Perry, J. R. B., Stewart, I. D., Willems, S. M., Luan, J., Ardanaz, E., Arriola, L., Balkau, B., et al. (2016) · JAMA

Lipoproteins and Cardiovascular HealthGenetic Associations and Epidemiology

Cited by 394

Association of Genetic Variants Related to Gluteofemoral vs Abdominal Fat Distribution With Type 2 Diabetes, Coronary Disease, and Cardiovascular Risk Factors

Lotta, L. A., Wittemans, L. B. L., Zuber, V., Stewart, I. D., Sharp, S. J., Luan, J., Day, F. R., Li, C., Bowker, N., Cai, L., et al. (2018) · JAMA

Genetic Associations and EpidemiologyDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 229

Associations between potentially modifiable risk factors and Alzheimer disease: a mendelian randomization study

Østergaard, S. D., Mukherjee, S., Sharp, S. J., Proitsi, P., Lotta, L. A., Day, F., Perry, J. R. B., Boehme, K. L., Walter, S., Kauwe, J. S., et al. (2015) · PLOS Medicine

Dementia and Cognitive Impairment ResearchGenetic Associations and Epidemiology

Cited by 203

Age at Menarche and Type 2 Diabetes Risk

Elks, C. E., Ong, K. K., Scott, R. A., van der Schouw, Y. T., Brand, J. S., Wark, P. A., Amiano, P., Balkau, B., Barricarte, A., Boeing, H., et al. (2013) · Diabetes Care

Hypothalamic control of reproductive hormonesDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 186

Whole exome sequencing and characterization of coding variation in 49,960 individuals in the UK Biobank

Van Hout, C. V., Tachmazidou, I., Backman, J. D., Hoffman, J. X., Ye, B., Pandey, A. K., Gonzaga-Jauregui, C., Khalid, S., Liu, D., Banerjee, N., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory)

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 110