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Center for Quantitative Genetics and Genomics (QGG) is an international research center with more than 70 employees and visitors from more than 20 nations world wide.

AT QGG we do basic and applied research within quantitative genetics and genomics. We particularly work with the development of statistical models to be used in animal and plant breeding, studies of the genetic basis for different traits and diseases, and management of genetic resources. Our main focus is animals and plants, but we are increasingly working with human genetics and model organisms. Our research is characterised by a very close collaboration with researchers and industry partners all over the world.

In the menu to the left and below, you can read more about who we are what we do, and which species we work with.

If you have any questions, you are welcome to contact us.


The assumptions made by prediction tools are described by something called the "heritability model". Most existing tools assume the GCTA Model. This figure shows that for four different tools (from left to right, lasso, ridge regression, Bolt-LMM and BayesR), prediction accuracy always increases when one switches from the GCTA Model to more realistic heritability models (e.g., the LDAK-Thin and BLD-LDAK Models). The top plot shows results for 14 individual phenotypes (including traits such as height, body mass index, neuroticism and hypertension), while the bottom plot shows averages across all phenotypes.

2021.07.05 | Research

New and improved methods for predicting phenotypes for use in personalized medicine

Professor Doug Speed from Center for Quantitative Genetics and Genomics (QGG) and colleagues from the Bioinformatics Research Center (BiRC) and National Centre for Register-based Research (NCRR) at Aarhus University have recently developed improved methods for predicting complex traits. The work has this week been published in the journal Nature…

2021.07.02 | Research

To reduce methane emissions, new study finds it necessary to include methane in breeding goals

Researchers from Center for Quantitative Genetics and Genomics (QGG) have participated in an international project, where findings show the necessity of either including methane in the breeding goal, or do it through a correlated trait as residual feed intake, if methane emissions are to be reduced.

2021.05.12 | Grant

QGG researcher receives the prestigious Novo Nordisk Emerging Investigator Grant

Assistant professor (tenure track) Guillaume Ramstein from Center for Quantitative Genetics and Genomics (QGG) has received an Emerging Investigator Grant from the Novo Nordisk Foundation. The grant will be used for research in finding a new strategy to improve fitness of important crops.

Photo: Ari Kejonen (Pixabay.com)

2021.04.07 | Grant

New H2020 project with an ethical dimension aims at developing more sustainable breeding programmes

Researchers from Center for Quantitative Genetics and Genomics (QGG) participate in a new EU Horizon2020 project – RUMIGEN – which aims at developing more sustainable breeding programs and linked technologies in line with social demand, adding a novel, societal dimension defined as ‘room of acceptance’ to the project goals.

Photo: Pixabay

2021.02.10 | Grant

Local and sustainable production of faba beans will strengthen green transition

A new project aims at developing new sorts of faba beans for a more sustainable production in Denmark for the purpose of decreasing the import of soya beans for animal feed. Center for Quantitative Genetics and Genomics (QGG) contributes to the project with its substantial expertise in large scale computations and statistical analyses.


Sun 03 Jul
08:00-16:00 | Rotterdam, The Netherlands
The next World Congress of Genetics Applied to Livestock Production will be held from 3 to 8 July 2022 in Rotterdam, The Netherlands.