Registry
Module Specifications
Archived Version 2018 - 2019
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Description The purpose of this module is to build on the principles of genetics and genomics from earlier modules in the programme with a focus on the human genome. Students will develop a good understanding of how this knowledge has been extended and developed to analyse, manipulate and understand the genomes of humans in different populations. This will be achieved by gaining knowledge in human inheritance and genetic variation of both mendelian and non-mendelian traits. Knowledge of how to measure genetic diversity in a population of samples and investigate linkage patterns, selective processes and population admixture. Knowledge of the latest in genome technology and analysis. Students are expected to attend lectures and participate in tutorial discussions. | |||||||||||||||||||||||||||||||||||||||||
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Learning Outcomes 1. Knowledge and understanding of human inheritance (mendelian and non-mendelian), biometrical and quantitative genetics. 2. Knowledge and understanding of historical and contemporary approaches to disease gene identification. 3. Relate methods for quantifying mutation co-occurrence. 4. Assess population DNA data using a spectrum of tools and strategies. 5. Calculate various tests for inheritance, association, linkage disequilibrium, genetic diversity and selection. | |||||||||||||||||||||||||||||||||||||||||
All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml |
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Indicative Content and
Learning Activities Human InheritanceAn overview of the different types of human inheritance: autosomal, sex chromosomal inheritance, mitochondrial inheritance and epigenetics. Approaches to identifying the genes responsible for monogenic disorders. The latest therapeutic approaches to treating monogenic diseases. An understanding of oligogenic & polygenic inheritance and quantitative & discontinuous traits. How to conduct an association study and utilize the HapMap data. An understanding of linkage disequilibrium. Latest technologies and post-human genome projects. The impact of the environment on the human genome.Population GeneticsThe general aim is to equip students with the capacity to solve problems involving predicting mutation frequencies in a population as they change over time based on neutral expectations. Specifically: Hardy Weinberg equilibrium & genetic diversity. Apply algorithms to infer DNA patterns and linkage disequilibrium. Neutral population variation. Estimating population structure and admixture from DNA changes. | |||||||||||||||||||||||||||||||||||||||||
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Indicative Reading List
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Other Resources None | |||||||||||||||||||||||||||||||||||||||||
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