Imperial College London

ProfessorMichaelJohnson

Faculty of MedicineDepartment of Medicine

Professor of Neurology and Genomic Medicine
 
 
 
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Contact

 

m.johnson Website

 
 
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Location

 

E419Burlington DanesHammersmith Campus

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Summary

 

Summary

I am Professor of Neurology and Genomic Medicine at Imperial College London, and Honorary Consultant Neurologist at Imperial College Healthcare NHS Trust.

My research focuses on the systems-level integration of genetic, genomic and phenotypic data to identify causal functional pathways underlying disease. Using gene regulatory approaches, disease-associated functional pathways and cell-type specific gene expression signatures are then targeted to identify novel therapeutic strategies which cannot be captured using traditional reductionist strategies. 

My research is funded by the MRC, UCB Pharma, the NIHR Biomedical Research Centres Scheme, the EU FP7 Framework and the Brain Tumour Research Campaign (www.wayahead-btrc.org).

My clinical activity is in general neurology and epilepsy with a particular focus on the autoimmune and tumour associated epilepsies. I am a core member of the Imperial College Healthcare neuro-oncology multidisciplinary team. 

I am a member of the International League Against Epilepsy (ILAE) Task Force on Epigenetics, the Epi4K, EpiPGx and EPITARGET international consortia for epilepsy research, Epilepsy Action's Scientific Awards Panel, and an Advisor to the Commonwealth Scholarship Commission, the UK Parliamentary Health Ombudsman and Motorsport UK. 


Professional Memberships:

Fellow of the Royal College of Physicians (FRCP)
Fellow of the Royal Australasian College of Physicians (FRACP)
Fellow of the Royal Society of Medicine
Member of the Association of British Neurologists
Member of the British Medical Association
Member of International League Against Epilepsy

My publications can be found via Google Scholar

 

Selected Publications

Journal Articles

Abou-Khalil B, Auce P, Avbersek A, et al., 2018, Genome-wide mega-analysis identifies 16 loci and highlights diverse biological mechanisms in the common epilepsies, Nature Communications, Vol:9, ISSN:2041-1723

Srivastava PK, van Eyll J, Godard P, et al., 2018, A systems-level framework for drug discovery identifies Csf1R as an anti-epileptic drug target, Nature Communications, Vol:9, ISSN:2041-1723

Speed D, Cai N, Johnson MR, et al., 2017, Reevaluation of SNP heritability in complex human traits, Nature Genetics, Vol:49, ISSN:1061-4036, Pages:986-+

Symonds JD, Zuberi SM, Johnson MR, 2017, Advances in epilepsy gene discovery and implications for epilepsy diagnosis and treatment, Current Opinion in Neurology, Vol:30, ISSN:1350-7540, Pages:193-199

Srivastava PK, Bagnati M, Delahaye-Duriez A, et al., 2017, Genome-wide analysis of differential RNA editing in epilepsy, Genome Research, Vol:27, ISSN:1088-9051, Pages:440-450

Allen AS, Bellows ST, Berkovic SF, et al., 2017, Ultra-rare genetic variation in common epilepsies: a case-control sequencing study, Lancet Neurology, Vol:16, ISSN:1474-4422, Pages:135-143

Delahaye-Duriez A, Srivastava P, Shkura K, et al., 2016, Rare and common epilepsies converge on a shared gene regulatory network providing opportunities for novel antiepileptic drug discovery, Genome Biology, Vol:17, ISSN:1474-760X

Johnson MR, Shkura K, Langley SR, et al., 2016, Systems genetics identifies a convergent gene network for cognition and neurodevelopmental disease, Nature Neuroscience, Vol:19, ISSN:1097-6256, Pages:223-+

Johnson MR, Behmoaras J, Bottolo L, et al., 2015, Systems genetics identifies Sestrin 3 as a regulator of a proconvulsant gene network in human epileptic hippocampus, Nature Communications, Vol:6, ISSN:2041-1723

Speed D, O'Brien TJ, Palotie A, et al., 2014, Describing the genetic architecture of epilepsy through heritability analysis, Brain, Vol:137, ISSN:0006-8950, Pages:2680-2689

International League Against Epilepsy Consortium on Complex Epilepsies. Electronic address: epilepsy-austin@unimelb.edu.au, 2014, Genetic determinants of common epilepsies: a meta-analysis of genome-wide association studies., Lancet Neurol, Vol:13, Pages:893-903

Speed D, Hoggart C, Petrovski S, et al., 2014, A genome-wide association study and biological pathway analysis of epilepsy prognosis in a prospective cohort of newly treated epilepsy, Human Molecular Genetics, Vol:23, ISSN:0964-6906, Pages:247-258

Irani SR, Stagg CJ, Schott JM, et al., 2013, Faciobrachial dystonic seizures: the influence of immunotherapy on seizure control and prevention of cognitive impairment in a broadening phenotype, Brain, Vol:136, ISSN:0006-8950, Pages:3151-3162

Epi4K Consortium, Epilepsy Phenome/Genome Project, Allen AS, et al., 2013, De novo mutations in epileptic encephalopathies., Nature, Vol:501, Pages:217-221

Speed D, Hemani G, Johnson MR, et al., 2012, Improved Heritability Estimation from Genome-wide SNPs, American Journal of Human Genetics, Vol:91, ISSN:0002-9297, Pages:1011-1021

Johnson MR, Shorvon SD, 2011, Heredity in epilepsy: Neurodevelopment, comorbidity, and the neurological trait, Epilepsy & Behavior, Vol:22, ISSN:1525-5050, Pages:421-427

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