Quantitative genetics is the study of the genetic basis underlying phenotypic variation among individuals, with a focus primarily on traits that take a continuous range of values. Quantitative traits tend to be polygenic and also subject to environmental influences. Just over one hundred years ago, in 1918, Sir Ronald Fisher laid the foundations for this field in a paper 'The Correlation Between Relatives on the Supposition of Mendelian Inheritance'. This paper, and subsequent works on fundamentals of quantitative genetics by Fisher and others, also gave birth to much of modern statistics. After one hundred years, the field of quantitative genetics has never been stronger or more vibrant as it moves into the post-genomics era. Our team focuses on application of classical and novel quantitative genetics models and methods to understand genetics and biology of human complex traits.
Habil. Yurii Aulchenko, PhD
- Understanding musculoskeletal pain using human quantitative genetic approaches
- Quantitative and population genetics of human protein N-glycosilation
G4: Quantitative Genetics
Last 5 publications
- Freidin, M. B. et al. Insight into the genetic architecture of back pain and its risk factors from a study of 509,000 individuals. Pain 1 (2019).
- Suri, P. et al. Genome-wide meta-analysis of 158,000 individuals of European ancestry identifies three loci associated with chronic back pain. PLOS Genet. 14, e1007601 (2018).
- Trbojević-Akmačić, I. et al. Plasma N-glycome composition associates with chronic low back pain. Biochim. Biophys. acta. Gen. Subj. 1862, 2124–2133 (2018).
- Momozawa, Y. et al. IBD risk loci are enriched in multigenic regulatory modules encompassing putative causative genes. Nat. Commun. 9, 2427 (2018).
- Shen, X. et al. Multivariate discovery and replication of five novel loci associated with Immunoglobulin G N-glycosylation. Nat. Commun. 8, 1–10 (2017).