Browsing Wolfson Institute of Preventive Medicine by Author "Powell, J"
Now showing items 1-5 of 5
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Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects
Marshall, CR; Marshall, CR; Howrigan, DP; Merico, D; Thiruvahindrapuram, B; Wu, W; Greer, DS; Antaki, D; Shetty, A; Holmans, PA (2017-01) -
Gene expression imputation across multiple brain regions provides insights into schizophrenia risk
Huckins, LM; Dobbyn, A; Ruderfer, DM; Hoffman, G; Wang, W; Pardinas, AF; Rajagopal, VM; Als, TD; Nguyen, HT; Girdhar, K (Springer Nature, 2019-03-25)Transcriptomic imputation approaches combine eQTL reference panels with large-scale genotype data in order to test associations between disease and gene expression. These genic associations could elucidate signals in complex ... -
Long-term outcomes for neoadjuvant versus adjuvant chemotherapy in early breast cancer: meta-analysis of individual patient data from ten randomised trials
Alberro, JA; Ballester, B; Deulofeu, P; Fabregas, R; Fraile, M; Gubern, JM; Janer, J; Moral, A; de Pablo, JL; Penalva, G (Elsevier, 2017-12-11)Background Neoadjuvant chemotherapy (NACT) for early breast cancer can make breast-conserving surgery more feasible and might be more likely to eradicate micrometastatic disease than might the same chemotherapy given ... -
Mapping genomic loci implicates genes and synaptic biology in schizophrenia
Trubetskoy, V; Pardinas, AF; Qi, T; Panagiotaropoulou, G; Awasthi, S; Bigdeli, TB; Bryois, J; Chen, C-Y; Dennison, CA; Hall, LS (2022) -
Overcoming challenges of translating deep- learning models for glioblastoma: the ZGBM consortium
Shuaib, H; Barker, GJ; Sasieni, P; De Vita, E; Chelliah, A; Andrei, R; Ashkan, K; Beaumont, E; Brazil, L; Rowland-Hill, C (British Institute of Radiology, 2022-11-01)Objective: To report imaging protocol and scheduling variance in routine care of glioblastoma patients in order to demonstrate challenges of integrating deep-learning models in glioblastoma care pathways. Additionally, ...