
Course unit details:
Application of Genomics in Infectious Diseases
Unit code | BIOL67971 |
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Credit rating | 15 |
Unit level | FHEQ level 7 – master's degree or fourth year of an integrated master's degree |
Teaching period(s) | Semester 1 |
Available as a free choice unit? | No |
Overview
Aims
The aim of this module is that the student will have a greater understanding of how genomics can be used to improve diagnostic accuracy, predict which drugs are likely to be more effective in individual patients and contribute to the monitoring and control of infectious disease in individuals and populations.
Teaching and learning methods
Learning will focus on a case-based approach to ensure relevance to clinical practice. A range of formats will be used in both face-to-face and e-learning.
Lectures, problem-based learning, case studies, group work and interactive seminars.
Knowledge and understanding
- Explain the principles of epidemiology of infectious diseases.
- Critically evaluate how the genome sequence of pathogens can be used to investigate and manage suspected outbreaks of infection in hospital and community settings.
- Explain the underlying principles of laboratory diagnosis, antimicrobial susceptibility testing, and epidemiological typing of pathogens.
- Critically evaluate the emerging action of drugs in controlling infection eg virus, bacteria and fungi
- Evaluate how sequencing of the genome of infective organisms can be used in infectious disease for diagnosis, sub-classification and strain identity.
- Evaluate how sequencing of the genome of infective organisms can be used in infectious disease for assessing pathogenicity, antimicrobial resistance, drug selection and epidemic control.
- Critically evaluate the molecular basis of organism drug resistance and how this directs to drug search.
Intellectual skills
- To assess the most appropriate genomic approaches to address an infection-related question
- Critical evaluation of genomic analysis of pathogens as a means to inform antimicrobial treatments
- Critical evaluation of utility of purely genomic approaches to investigate incidents of infectious disease
Practical skills
- Choose and apply bioinformatics methodology commonly used for compiling microbial genomes or compare strains.
- Choose and apply bioinformatics methodology commonly used for identify microbial communities in clinical samples.
Transferable skills and personal qualities
- Bioinformatics methodology
- Confidence to interpret infectious disease bioinformatics analysis
- Report writing
- Scientific discussion
Assessment methods
Method | Weight |
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Written assignment (inc essay) | 80% |
Oral assessment/presentation | 20% |
Feedback methods
Formative feedback will be provided in a draft of the written assignment before submission. Feedback on presentations will be provided in a dedicate course work session.
Recommended reading
Includes but is not limited to:
Books:
The genetics of bacteria and their viruses. Studies in basic genetics and molecular biology. HAYES, W. 1964 pp. xii +740 pp.
Reviews and Original Articles:
- Deurenberg RH, Bathoorn E, Chlebowicz MA, Couto N, Ferdous M, García-Cobos S, Kooistra-Smid AM, Raangs EC, Rosema S, Veloo AC, Zhou K, Friedrich AW, Rossen JW. Application of next generation sequencing in clinical microbiology and infection prevention. J Biotechnol. 2017 Feb 10;243:16-24. doi: 10.1016/j.jbiotec.2016.12.022.
- Edwards DJ, Holt KE(2015). "Beginner’s guide to comparative bacterial genome analysis using next generation sequence data. Microbial Informatics and Experimentation, a 3:2.
- Golubchik T, Batty EM, Miller RR, Farr H, Young BC et al (2013). Within-host evolution of Staphylococcus aureus during asymptomatic carriage. PLoS ONE 8(5) e61319.
- Gomez CA, Budvytiene I, Zemek AJ, Banaei N. Performance of Targeted Fungal Sequencing for Culture-Independent Diagnosis of Invasive Fungal Disease. Clin Infect Dis. 2017 Nov 29;65(12):2035-2041. doi: 10.1093/cid/cix728.
- Harris SR, Cartwright EJ, Török ME, Holden MT, Brown NM, Ogilvy-Stuart AL, Ellington MJ, Quail MA, Bentley SD, Parkhill J, Peacock SJ (2013). Whole-genome sequencing for analysis of an outbreak of meticillin-resistant Staphylococcus aureus: a descriptive study. Lancet Infect Dis. 13(2): 130-6.
- Roetzer A, Diel R, Kohl TA, Ruckert C, Nubel U et al (2013) Whole Genome Sequencing Versus Traditional Genotyping for Investigation of a Mycobacterium tuberculosis Outbreak: A Longtitudinal Molecular Epidemiological Study. PLoS Med(2); e1001387.
- Rossen JWA, Friedrich AW, Moran-Gilad J; ESCMID Study Group for Genomic and Molecular Diagnostics (ESGMD). Practical issues in implementing whole-genome-sequencing in routine diagnostic microbiology. Clin Microbiol Infect. 2018 Apr;24(4):355-360. doi: 10.1016/j.cmi.2017.11.001.
Websites:
https://www.gov.uk/government/organisations/public-health-england
Study hours
Independent study hours | |
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Independent study | 150 |
Teaching staff
Staff member | Role |
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Sara Gago | Unit coordinator |