Kerrison, Nicola D.

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

Human gain-of-function MC4R variants show signaling bias and protect against obesity

Lotta, L. A., Mokrosiński, J., Mendes de Oliveira, E., Li, C., Sharp, S. J., Luan, J., Brouwers, B., Ayinampudi, V., Bowker, N., Kerrison, N., et al. (2019) · Cell

Regulation of Appetite and ObesityReceptor Mechanisms and Signaling

Cited by 284

Synergistic insights into human health from aptamer- and antibody-based proteomic profiling

Pietzner, M., Wheeler, E., Carrasco-Zanini, J., Kerrison, N. D., Oerton, E., Koprulu, M., Luan, J., Hingorani, A. D., Williams, S. A., Wareham, N. J., et al. (2021) · Nature Communications

Genetic Associations and EpidemiologyAdvanced Biosensing Techniques and Applications

Cited by 234

Descriptive epidemiology of physical activity energy expenditure in UK adults (The Fenland study)

Lindsay, T., Westgate, K., Wijndaele, K., Hollidge, S., Kerrison, N., Forouhi, N., Griffin, S., Wareham, N., & Brage, S. (2019) · International Journal of Behavioral Nutrition and Physical Activity

Physical Activity and HealthContext-Aware Activity Recognition Systems

Cited by 83

Proteogenomic links to human metabolic diseases

Koprulu, M., Carrasco-Zanini, J., Wheeler, E., Lockhart, S., Kerrison, N. D., Wareham, N. J., Pietzner, M., & Langenberg, C. (2023) · Nature Metabolism

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 57

Proteomic prediction of diverse incident diseases: a machine learning-guided biomarker discovery study using data from a prospective cohort study

Carrasco-Zanini, J., Pietzner, M., Koprulu, M., Wheeler, E., Kerrison, N. D., Wareham, N. J., & Langenberg, C. (2024) · The Lancet Digital Health

Genetic Associations and EpidemiologyHealth, Environment, Cognitive Aging

Cited by 46

A multi-ancestry genome-wide study incorporating gene–smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure

Sung, Y. J., de las Fuentes, L., Winkler, T. W., Chasman, D. I., Bentley, A. R., Kraja, A. T., Ntalla, I., Warren, H. R., Guo, X., Schwander, K., et al. (2019) · Human Molecular Genetics

Genetic Associations and EpidemiologyBlood Pressure and Hypertension Studies

Cited by 43