This module covers a series of critical concepts and state-of-the-art methods in quantitative genetics, focusing on the estimation of genetic variance. We will learn about genetic variance, genetic relationships, heritability, genetic correlation, and prevailing estimation methods including HE regression, univariate and bivariate Genomic Restricted Maximum Likelihood (GREML), and LD score regression. In practical sessions, we will use R, HPC and popular command line software in the field, such as PLINK, GCTA and ldsc.

Primary instructor:
A/P Loic Yengo
A/P Loic Yengo is a statistical geneticist and group leader of the Statistical Genomics Laboratory. Yengo joined the University of Queensland in 2016 with a research background in applied mathematics, statistics, and molecular epidemiology. His current research focuses on understanding the genetic and phenotypic consequences of non-random mating (inbreeding and assortative mating) in human populations, and on developing analytical methods for multi-ancestry genome-wide association studies (GWAS).

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