Statistics for Human Genomics

This module aims to develop skills in the analysis of human genetic data, particular with respect to applications in biomedical research.

Most modules require a 2.2 degree in a related discipline or equivalent professional experience. Should you have any queries regarding your eligibility, please contact us at info@advancecentre.ie N.B It is a requirement that applicants have good computing skills, basic programming, and a solid foundation in statistics and mathematics

On completion of this module learners will be able to:

1. Understand the theory of, and choice of statistical test for the analysis of hypotheses concerning genetic effects on phenotypes

2. Use dedicated software for the analysis of genetic linkage in pedigrees

3. Use dedicated or generic software for the analysis of genetic association between a trait or disease status and single locus

4. Be able to estimate haplotypes in pedigree or unrelated samples using dedicated software and understand the limitations of the methods

5. Understand the concept of population stratification and be aware of the methods used to model this

6. Demonstrate understanding of the issues surrounding the analysis of rare variants or private mutations, and the methods developed to circumvent these

Learn from world renowned academic staff in Ireland’s leading, future focused and globally recognised colleges.

Gain an accredited NFQ qualification/micro credential that you may count towards a full award if you so wish in the future.

Previous modules may be used as recognition of prior learning towards Advance Centre degree programmes.

Equip yourself with the latest in demand skillset, tools, know-how and knowledge to succeed in your career.

Gain a competitive edge, influence growth and steer strategic goals in your organisation upon completion of your studies with the Advance Centre.

Yes, if you complete this module it can be credited as part of the GD Artificial Intelligence for Medicine & MedicalResearch FT.

Detailed Course Information

Our enterprise partners

The founding industry Centre partners are:

  • Twitter
  • LinkedIn
  • Facebook
  • Instagram
  • YouTube