Module Database

Information for module GENEG005

This module is available for 2016/17 and 2017/18 (provisional)

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Module code:GENEG005 (Add to my personalised list)
Title:Statistics for Interpreting Genetic Data
Credit value:15
Division:Division of Biosciences
Module organiser (provisional):Dr Doug Speed and Dr Elvira Mambetisaeva
Organiser's location:Darwin Building
Available for students in Year(s):
Module prerequisites:Available to Masters students only 
Module outline:The module will provide an introduction to computer-based statistical methods of analyzing and interpreting genetics data. The topics to be covered include population genetics (both forward-in-time and backward-in-time models), the study of disease transmission in families (twin studies, segregation and linkage analysis), genetic epidemiology, Mendelian randomization, genetic association studies, genome-wide analyses, fine mapping. The effects on association analyses of admixture and population stratification. The emphasis will be on students doing analyses in class, in groups, and on their own, and on their interpretation of the results.  
Module aims:To provide an introduction to computational statistical techniques applied in genetics and genetic epidemiology.  
Module objectives:An understanding of the rationale underlying standard computational statistics procedures, and the situations in which different procedures are applicable. The ability to use computational statistical techniques to analyse genetic data, particularly to understand the role of genetics in disease causation The ability to interpret the results of statistical analyses  
Key skills provided by module: 
Module timetable: 
Module assessment:Four computer-based assignments 40.00%
Unseen two-hour written examination 60.00% 
Taking this module as an option?: 
Link to virtual learning environment (registered students only)
Last updated:2016-11-18 14:38:26 by ucbtema