PE4S250 - Medical and Clinical Genomics 01 Sep 2022 - 31 Aug 2028 | Version 1
Associated Module Information
| Module Code: | PE4S250 | ||
|---|---|---|---|
| Module Title: | Medical and Clinical Genomics | ||
| Faculty: | Faculty of Life Sciences and Education | ||
| Faculty Group: | Community and Professional Practice Nursing | ||
| Faculty Sub Group: | Professional Nursing Practice | ||
| Module Leader: | Karl New | ||
| Module Team: | John Giannios, Martha Castano-Betancourt, Sangeeta Khatter | ||
| First Intended Intake: | SEP 2022 | Final Year of Intake: | 2027 |
| Date Closed: | |||
| Credit Value: | 20 | Credit Level: | 7 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 0 | ||
| Equivalent Module: | |||
| HECOS codes: | 100260 - healthcare science | ||
| HECOS Code Weighting: | 100 | ||
Document Version Information
| Version | 1 |
|---|---|
| Valid From | 01 Sep 2022 |
| Valid To | 31 Aug 2028 |
Module Aims
Develop a critical understanding of the core principles and practice of medical and clinical genetics and genomics.
Content Summary
Indicative content to include topics outlined below and/or any other relevant current topics to fulfil the module aims and learning outcomes:
Genetic/Genomic and Multiomic Multiethnic Epidemiology and Preventive-Healthcare (using GWAS, TWAS, PheWAS and GWES)
Integrative Multiomics Analysis and Translation in Personalised/Precision Medicine
Genetics/Genomics Clinic, Pharmacogenomics Clinic and Preventive Genomics Clinic including PRST
Genetic, Genomic and Multiomic Profiling of Germline and Somatic Variants in Personalised Oncology
Genomic-Medicine Multidisciplinary-Team (GM-MDT)
Clinical Audit Cycle in Genomic Medicine
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Independent Study | 100 |
| Directed Study | 100 |
| Total Hours Selected | 200 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | Demonstrate the ability to implement cutting edge knowledge of multiomics into healthcare practice ranging from individualised care to population health. |
| LO2 | Demonstrate professional healthcare expertise in the application of emerging multiomics tools for the implementation of communicable and noncommunicable disease management using a multidisciplinary approach |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Synchronous Online Assessment (Exam) | Online External Examination 1 | A test of knowledge and understanding through questions not known to the candidate prior to the examination. Delivered online and time constrained to normally not more than 3 hours, the examination is set externally (e.g. EASA, ICAEW) and delivery is not managed by Academic Registry or End of module examination related to medical and clinical genomics | 60 | N/A | 30 | No | 40 |
| Asynchronous Assessment | Self Reflective Assessment 1 | A personal record of a student’s learning experiences. It requires students to record and reflect upon their observations and responses to situations, which can then be used later to explore and analyse ways of thinking and being in context. Generally involves critical diaries, learning logs and written / visual journals or Reflective journal | 0 | 1200 | 10 | No | 40 |
| Asynchronous Assessment | Project 1 | A detailed analysis of a topic, involving some original research undertaken by the candidate who makes use of data and/or primary sources or Completion of an individual/group task related to medical and clinical genomics | 0 | 1200 | 20 | No | 40 |
| Asynchronous Assessment | Case study 1 | A concentrated inquiry into a single case or subject or Case-based scenarios and discussion forum related to medical and clinical genomics | 0 | 2400 | 40 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Online External Examination 1 | ✔ | ✔ | |
| Self Reflective Assessment 1 | ✔ | ✔ | |
| Project 1 | ✔ | ✔ | |
| Case study 1 | ✔ | ✔ | |