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The University of Southampton

MEDI6234 Genomics Guided Treatment

Module Overview

This module will cover the use of genomics in precision medicine for the treatment of common and rare disease and cancer. It will explore the different molecular and cellular actions of treatments, the genomic factors affecting response and resistance to treatment, and the research approaches to drug design and development.

Aims and Objectives

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

  • Explain how the integration of genomic, clinical and molecular data can be utilised for patient stratification
  • Evaluate how sequencing of the genome can be used for assessing pathogenicity, drug resistance and drug selection
  • Identify and evaluate the different types of current and emerging biomarkers used in personalised medicine
  • Discuss and critically evaluate how genomic information can enable development of drugs targeted for particular genotypes
  • Appraise the strategies and analytical approaches for stratifying patients for optimal drug response or adverse drug reactions including ethnic differences, and how these translate into ‘companion diagnostics’


Disease classification systems, including diagnosis, molecular sub-classification, aggressiveness (prognosis). Examples of the genomic basis of drug efficacy and reactions, how these are applied in prescribing practice and in clinical trials. Use of genomic information, for targeted drug development. Different types and examples of genomic-targeted intervention (examples of genome-targeted clinical, therapeutic or lifestyle choices). Genomic biomarkers: SNPs, variability of short sequence repeats, haplotypes, DNA modifications, e.g. methylation, deletions or insertions, copy number variants, RNA expression levels, RNA splicing, microRNA levels. Use of biomarkers for stratification and treatment: genomic and cellular markers and optimal treatment regimes. Monitoring disease following treatment (medical, surgical or bone marrow transplant). Importance of sample quality for genomic analysis. Molecular basis of single gene subsets; research evidence (co-segregation studies) identifying sequence alterations (single gene Sanger sequencing and NGS panel tests); how to interpret molecular results for pathogenicity – literature, databases, & in silico tools. Other molecular predisposition; GWAS studies; other predisposition biomarkers.

Learning and Teaching

Teaching and learning methods

The module will comprise two blocks of intensive on-site teaching, each followed by approximately two weeks of independent study. A variety of learning and teaching methods will be adopted to promote a wide range of skills and meet the differing learning styles of the group. The on-site teaching will include seminars, practical demonstrations, discussions and exercises surrounding interpretation of data and clinical scenarios, and specialist lectures given by a range of academic and health care professionals. This will ensure a breadth and depth of perspective, giving a good balance between background theories and principles and practical experience. Off-site independent learning will take place on the virtual learning environment hosted by the UoS.

Independent Study122
Total study time150


Assessment Strategy

The assessment for the module provides you with the opportunity to demonstrate achievement of the learning outcomes. In addition to the summative assessments, during the course of the module there will be opportunities to obtain feedback in the form of unassessed, formative activities.


Workshop activities


MethodPercentage contribution
Oral presentation 40%
Written assignment  (1500 words) 60%


MethodPercentage contribution
Written assignment  (2000 words) 100%

Repeat Information

Repeat type: Internal & External

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