Armidale Genetics Summer Course 2027
Venue:
University of New England, Armidale, NSW Australia
Course Audience:
Postgraduate students and other professionals
In collaboration with the
Fundamentals of Genomic Analysis and Prediction of
Polygenic Traits
Teacher: Professor Gustavo de los Campos
Michigan
State University
Dates: Monday
8 February 2026 (9am) - Friday
12 February 2026 (4pm)
About the Course
This one-week course introduces the core statistical
methods behind genomic analysis and the prediction of polygenic traits. We
cover a broad set of approaches widely used in plant and animal breeding, and
we build a conceptual framework for understanding the factors that determine
prediction accuracy.
The course consists of 8-10 modules, each focused on a
specific model or prediction problem. Every module includes:
- A short introductory lecture
- Hands-on work with real data, supported by handouts
(R Markdown and the accompanying PDF) that present the conceptual
foundations and worked examples
- A group discussion of the results
Who Should Attend
The course is designed for MS and PhD students in
plant breeding, animal breeding, and related fields, as well as postdocs and
scientists who want to strengthen their skills in genomic analysis and
prediction.
Prerequisites: MS-level knowledge of statistical
methods, particularly linear models and linear algebra.
Course Content
Part A: Fundamentals
- Genomic prediction: factors
influencing prediction accuracy
- Linear models
- Subset selection (sure independent screening and
forward regression)
- Shrinkage and variable selection methods:
- Penalized regression
- Gradient descent with early stopping
- Bayesian methods
- GBLUP (genomic best
linear unbiased prediction)
- Single Step GBLUP
- Reproducing kernel Hilbert space (RKHS)
regression
Part B: Special Topics
- Credible set inference
- Estimating genic and genetic variances using
genomic data
- Multi-trait models
- Transfer learning
- Models for multi-environment data
- Models for DNA and environmental covariates
·
Course Fees:
|
Fees in AU$ |
Students |
Academics |
Other |
|
Fundamentals of
Genomic Analysis and Prediction of Polygenic Traits |
550 |
770 |
990 |
|
Prices
include GST, UNE personnel should not pay GST component |
|||
Registration deadline: Friday 31 January
2027:
Register
online here
UNE staff and students should NOT book online
Accommodation TBA
Inquiries Julius van der Werf jvanderw (at) une.edu.au
Materials previous
Armidale summer courses
Material of previous years:
Armidale Genetics Summer Course 2026 Materials
Theory and Tools for
Designing Breeding Programs
of Animals and Plants
Armidale Genetics Summer Course 2024 Materials
Theory and Tools for
Designing Breeding Programs
of Animals and Plants
Armidale Genetics Summer Course 2023 Materials
· Methods and Tool for Genomic Predictions and GWAS in
Breeding Programs Daniela Lourenco and Mehdi Sargolzaei
- COVID
break -
Armidale Genetics Summer Course 2020 Materials
· The Search for Selection: Bruce Walsh and Michael
Morrissey
Armidale Genetics Summer Course 2019 Materials
· Introduction to Graphical Models with Applications to
Quantitative Genetics and Genomics: Guilherme
Rosa and Francisco Peñagaricano
Armidale Genetics Summer Course 2018 Materials
· Mathematical modeling of infection dynamics in genetically
diverse livestock populations: Andrea Doeschl-Wilson and Osvaldo Anacleto
Armidale Genetics Summer Course 2017 Materials
· Genotype by environment interaction in breeding
programs: Piter Bijma and Han Mulder
Armidale Genetics Summer Course 2016 Materials
Investigating the Genetic Architecture of Complex
Traits & Prediction of
Phenotype
from Genome-wide SNPs - Doug Speed and David Balding
Armidale Animal Breeding
Summer Course 2015 Materials
•
Primer to genomic
analysis using R:
Cedric Gondro
•
From Sequence Data to
Genomic Prediction: Ben Hayes
and Hans Daetwyler
Armidale Animal Breeding
Summer Course 2014 Materials
Breeding Program Design
with Genomic Selection: Jack Dekkers, Julius van der Werf
Armidale Animal Breeding
Summer Course 2012 Materials
Statistical Methods for
Genome-Enabled Selection:
Daniel Gianola, Gustavo de los
Campos
Armidale Animal Breeding
Summer Course 2011 Materials
·
Statistical
methods and design in plant breeding and genomics: Ian Mackay
· IBD inference in genome association studies: Elizabeth Thompson
Armidale Animal Breeding
Summer Course 2010 Materials
·
Application of
evolutionary algorithms to solve complex problems in quantitative genetics
and
bioinformatics: Brian Kinghorn, Cedric Gondro
·
Bayesian methods in genome association studies: Dorian Garrick, Rohan
Fernando
Armidale Animal Breeding
Summer Course 2009 Materials
· Quantitative Genetic Theory and Analysis- Selection Theory: Bruce Walsh
·
Quantitative
Genetic Models for social interaction and inherited variability: Piter
Bijma
Armidale Animal Breeding Summer Course
2008 Materials
· Genomic Selection: Ben Hayes
Armidale Animal Breeding Summer Course
2007 Materials
· Generalized Linear Mixed Models:
Steve Kachman
Armidale Animal Breeding Summer Course
2006 Materials
· Gene Expression:
Toni Reverter
· Breeding Program Design:
Graser, James, Van der Werf
Armidale Animal Breeding Summer Course
2003 Materials