MIG SNP-based heritability workshop – 11 December, 2018

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Andrew Siebel


T: +61 3 8344 0707

MIG Workshop Series

Understanding the Genetic Architecture of Complex Traits through SBP-heritability analysis

Tuesday 11th December
The University of Melbourne

Professor David Balding (MIG) and Dr Doug Speed (Aarhus University) have successfully delivered similar (sold out) workshops in London (3 times all sold out), Denmark and Estonia.

Course outline

This workshop will cover genome-wide association analysis, including latest developments in confounding adjustments, and heritability analyses, both using individual-level genetic data (GCTA, LDAK) and using summary statistics (LDSC, SumHer). The workshop will also cover assessing heritability enrichment in functionally-annotated regions, genetic correlation and risk prediction (e.g., polygenic risk scores, BLUP and MultiBLUP). The common elements of these methods will be emphasised, highlighting a standard framework that has emerged for genome-wide SNP analysis, while also contrasting the differences in modelling assumptions underlying the different software.

The practicals will provide step-by-step details for analysing genetic data, starting either with individual-level data (e.g., PLINK files or the output from IMPUTE2) or summary statistics (p-values from a GWAS). There will be a selection of worked examples; to take part in the practicals, participants should bring a laptop preferably with either MAC or LINUX OS although Windows laptop users can also participate via a remote login using PuTTY or similar.


Participants should be proficient in statistics including maximum-likelihood estimation and hypothesis testing, preferably some familiarity with random-effects regression models and experience of computer-based data analysis. In genetics, knowledge of SNP genotyping and Hardy-Weinberg and linkage equilibria will be assumed. Computer scripts and output will be discussed that assume some familiarity with scientific computing using linux. Some familiarity with PLINK would be helpful, but is not essential.


The workshop will be taught from 10am to 4:30pm.
Registration fees (Staff = $200, Students = $140) include coffee breaks and lunch.

The Computational Biology Research Initiative proudly sponsors registration bursaries (50% of the registration costs) to 5 RHD students enrolled at UoM and 5 UoM/affiliate staff members. Selection and CBRI bursaries will be announced on November 23. Priority will be given to postgraduate students and early career researchers, with a maximum of 40 participants.

Please complete this Expression of Interest survey before the November 20.

Enquiries: Andrew Siebel (asiebel@unimelb.edu.au)