BIOS-613 Fall 2011
"Introduction to statistical genetics"

 

Description:

The goal of the course is to introduce students to the basic concepts and models in modern statistical genetics. It will cover state-of-the-art statistical genetics methods for detection of genetic loci for complex traits, either qualitative or quantitative. Each assignment will include hands-on computer exercises using statistical genetics computer programs. We will cover the general theory behind the methods as well as emphasize the practical aspects needed to interpret the results.

 

 

Course outline: format pdf (click here)

Special note: the lecture on November 28th is canceled

 

Date, time, location: 


Monday - Wednesday, 1:30am - 3:30 pm.

Purvis Hall, Room 48

Instructor:   Aurélie Labbe

Prerequisites: 

Undergraduate course in mathematical statistics at level of MATH 324

 

 


 

Lectures

·         Basic concepts in genetics

·         Introduction to genetic epidemiology

·         Basic tools in statistical genetics

·         Parametric linkage analysis

·         Non parametric linkage analysis

·         Quantitative traits linkage analysis

·         Population-based association studies

·         Genomewide association studies

·         Family-based association studies

·         Gene-gene and gene-environment interactions

·         Microarray data analysis

·         Analysis of QTL experiments

Tutorials (with datasets)

·         Basic concepts in genetics

·         Basic tools in statistical genetics

·         Pedigree errors

·         Parametric linkage analysis

·         Non-parametric linkage analysis

·         Linkage analysis of quantitative traits

·         Hapmap database

·         Linkage Disequilibrium

·         Population association study

·         Fine mapping

·         GWA

·         Family-based association

·         G-G and G-E interactions

·         Microarray data analysis

·         eQTL

 

Papers for student presentation

 

 

 

 

Softwares

·         R (download)

·         Bioconductor

·         R – Getting started

·         Pedcheck

·         Merlin

 

 


 

 

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