Module Details

Module Code: GENE9001
Title: Personalised Nutrition
Long Title: Personalised Nutrition
NFQ Level: Expert
Valid From: Semester 1 - 2023/24 ( September 2023 )
Duration: 1 Semester
Credits: 5
Field of Study: 4212 - Genetics
Module Delivered in: 1 programme(s)
Module Description: To provide an overview of the link between genetics and nutrition and the impact of
nutrigenetic and nutrigenomic studies on modern nutrition
 
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Describe the application of genetics and systems biology in modern nutrition
LO2 Interpret information from a range of database sources and apply strategies for the analysis of genetic data
LO3 Employ in silico bioinformatic tools in the analysis of dietary related non-communicable diseases
LO4 Critically evaluate the current literature relating to nutrigenetics and nutrigenomics
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named MTU module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module. You may not earn additional credit for the same learning and therefore you may not enrol in this module if you have successfully completed any modules in the incompatible list.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
Requirements

This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section.
No requirements listed
 
Indicative Content
Introduction to Nutrigenomics and Nutrigenetics
The role of genetics, genomics, transcriptomics and epigenetics in modern nutrition
Genetic databases
A comprehensive overview of the main databases and the information retrieval systems which provide access to these databases.
Database searching and interpretation
Alignment strategies for DNA (genes and genomes) or protein sequences such that differences or regions of structural or functional similarity are highlighted
Genetics, nutrition and health
An overview of diet related non-communicable diseases (NCD) and their genetic components, case studies of nutrigenomic/nutrigenetic studies
Module Content & Assessment
Assessment Breakdown%
Coursework100.00%

Assessments

Coursework
Assessment Type Practical/Skills Evaluation % of Total Mark 60
Timing Every Second Week Learning Outcomes 1,2,3
Assessment Description
In silico problem-based laboratory sessions with
online assessments
Assessment Type Project % of Total Mark 40
Timing Sem End Learning Outcomes 4
Assessment Description
Critical review of a selection of relevant peer
reviewed Nutrigenetics and Nutrigenomic studies
No End of Module Formal Examination
Reassessment Requirement
Coursework Only
This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.

The University reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact Lecture Every Week 2.00 2
Lab Contact In silico problem based learning Every Second Week 1.00 2
Independent & Directed Learning (Non-contact) Non Contact Independent study Every Week 4.00 4
Total Hours 8.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 3.00
Workload: Part Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact Lecture Every Week 2.00 2
Lab Contact In silico problem based learning Every Second Week 1.00 2
Independent & Directed Learning (Non-contact) Non Contact Independent study Every Week 4.00 4
Total Hours 8.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 3.00
 
Module Resources
Recommended Book Resources
  • Editor(s):Julie A Lovegrove, Leanne Hodson, Sangita Sharma, Susan A Lanham-New. (2015), Nutrition Research Methodologies, Wiley, [ISBN: 9781119180425].
  • Mourad Elloumi and Albert Y. Zomaya. (2014), Biological Knowledge Discovery Handbook: Preprocessing, Mining and Postprocessing of Biological Data, Wiley, [ISBN: 978-1-118-132].
This module does not have any article/paper resources
This module does not have any other resources
 
Module Delivered in
Programme Code Programme Semester Delivery
CR_SNUHA_9 Master of Science in Nutrition & Health Analytics 3 Mandatory