Wigmore, Eleanor M.

Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions

Howard, D. M., Adams, M. J., Clarke, T.-K., Hafferty, J. D., Gibson, J., Shirali, M., Coleman, J. R. I., Hagenaars, S. P., Ward, J., Wigmore, E. M., et al. (2019) · Nature Neuroscience

Genetic Associations and EpidemiologyNeurotransmitter Receptor Influence on Behavior

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Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways

Howard, D. M., Adams, M. J., Shirali, M., Clarke, T.-K., Marioni, R. E., Davies, G., Coleman, J. R. I., Alloza, C., Shen, X., Barbu, M. C., et al. (2018) · Nature Communications

Genetic Associations and EpidemiologyTreatment of Major Depression

Cited by 612

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

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Effects of protein-coding variants on blood metabolite measurements and clinical biomarkers in the UK Biobank

Nag, A., Dhindsa, R. S., Middleton, L., Jiang, X., Vitsios, D., Wigmore, E., Allman, E. L., Reznichenko, A., Carss, K., Smith, K. R., et al. (2023) · The American Journal of Human Genetics

Genetic Associations and EpidemiologyGenomics and Rare Diseases

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