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Dr Ed Schwalbe

Associate Professor

Department: Applied Sciences

Ed Schwalbe Staffprofile Northumbriauniversity255

Ed began his career with a BSc in Genetics from Leicester University. After working for several years in research labs focussed on medical and human genetics, Ed completed a Master's degree in Bioinformatics, again at Leicester University. After becoming interested in the analysis of large biological datasets during this course, he subsequently moved to Newcastle University to study for a PhD in cancer genomics in Professor Steve Clifford's lab, where his project investigated the molecular sub-classification of the childhood brain tumour, medulloblastoma, using genetic and epigenetic techniques.

After finishing the PhD, he continued working at Newcastle University as a postdoc, where his primary research role involved the continuation of work that arising from his PhD and undertaking collaborative research with investigators based at Bonn University and Malawi.

In October 2013, Ed moved to Northumbria as a Senior Lecturer in Bioinformatics and Biostatistics. Since then, he has continued to investigate childhood cancers, aiming at helping translate biological insights into clinically meaningful tests, and has extensive experience in the analysis of complex biological datasets.

Campus Address

Northumberland Building 447



Qualifications

  • Biological Sciences PhD January 14 2012
  • Information not provided British Association for Cancer Research (BACR) 2013

Key Publications

  • Please visit the Pure Research Information Portal for further information
  • Epigenetic modifiers DNMT3A and BCOR are recurrently mutated in CYLD cutaneous syndrome, Davies, H., Hodgson, K., Schwalbe, E., Coxhead, J., Sinclair, N., Zou, X., Cockell, S., Husain, A., Nik-Zainal, S., Rajan, N. 7 Oct 2019, In: Nature Communications
  • Imaging characteristics of wingless pathway subgroup medulloblastomas: results from the German HIT/SIOP-trial cohort, Stock, A., Myranek, M., Pietsch, T., Pfister, S., Clifford, S., Goschzik, T., Sturm, D., Schwalbe, E., Hicks, D., Rutkowski, S., Bison, B., Pham, M., Warmuth-Metz, M. 1 Nov 2019, In: American Journal of Neuroradiology
  • Second-generation molecular subgrouping of medulloblastoma, Sharma, T., Schwalbe, E., Williamson, D., Sill, M., Hovestadt, V., Mynarek, M., Rutkowski, S., Robinson, G., Gajjar, A., Cavalli, F., Ramaswamy, V., Taylor, M., Lindsey, J., Hill, R., Jäger, N., Korshunov, A., Hicks, D., Bailey, S., Kool, M., Chavez, L., Northcott, P., Pfister, S., Clifford, S. 10 May 2019, In: Acta Neuropathologica
  • SH2B3 inactivation through CN-LOH 12q is uniquely associated with B-cell precursor ALL with iAMP21 or other chromosome 21 gain, Sinclair, P., Ryan, S., Bashton, M., Hollern, S., Hanna, R., Case, M., Schwalbe, E., Schwab, C., Cranston, R., Young, B., Irving, J., Vora, A., Moorman, A., Harrison, C. 28 Feb 2019, In: Leukemia
  • Prognostic effect of whole chromosomal aberration signatures in standard-risk, non-WNT/non-SHH medulloblastoma, Goschzik, T., Schwalbe, E., Hicks, D., Smith, A., zur Muehlen, A., Figarella-Branger, D., Doz, F., Rutkowski, S., Lannering, B., Pietsch, T., Clifford, S. 1 Dec 2018, In: The Lancet Oncology
  • A chromatographic approach to distinguish Gram-positive from Gram-negative bacteria using exogenous volatile organic compound metabolites, Ramírez-Guízar, S., Sykes, H., Perry, J., Schwalbe, E., Stanforth, S., Perez-Perez, M., Dean, J. 9 Jun 2017, In: Journal of Chromatography A
  • Analysis of Listeria using exogenous volatile organic compound metabolites and their detection by static headspace–multi-capillary column–gas chromatography–ion mobility spectrometry (SHS–MCC–GC–IMS), Taylor, C., Lough, F., Stanforth, S., Schwalbe, E., Fowlis, I., Dean, J. Jul 2017, In: Analytical and Bioanalytical Chemistry
  • Genomic analysis of endemic clones of toxigenic and non-toxigenic Corynebacterium diphtheriae in Belarus during and after the major epidemic in 1990s, Grosse-kock, S., Kolodkina, V., Schwalbe, E., Blom, J., Burkovski, A., Hoskisson, P., Brisse, S., Smith, D., Sutcliffe, I., Titov, L., Sangal, V. 13 Nov 2017, In: BMC Genomics
  • Minimal methylation classifier (MIMIC): A novel method for derivation and rapid diagnostic detection of disease-associated DNA methylation signatures, Schwalbe, E., Hicks, D., Rafiee, G., Bashton, M., Gohlke, H., Enshaei, A., Potluri, S., Matthiesen, J., Mather, M., Taleongpong, P., Chaston, R., Silmon, A., Curtis, A., Lindsey, J., Crosier, S., Smith, A., Goschzik, T., Doz, F., Rutkowski, S., Lannering, B., Pietsch, T., Bailey, S., Williamson, D., Clifford, S. 18 Oct 2017, In: Scientific Reports
  • Novel molecular subgroups for clinical classification and outcome prediction in childhood medulloblastoma: a cohort study, Schwalbe, E., Lindsey, J., Nakjang, S., Crosier, S., Smith, A., Hicks, D., Rafiee, G., Hill, R., Iliasova, A., Stone, T., Pizer, B., Michalski, A., Joshi, A., Wharton, S., Jacques, T., Bailey, S., Williamson, D., Clifford, S. Jul 2017, In: The Lancet Oncology

PGR Supervision

  • Dean Thompson Start: 01/10/2018
  • Alice Iliasova Start: 01/10/2014


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