Statistical and Quantitative Genomics

In this Focus Group, Hans Fischer Senior Fellow Prof. Daniel Gianola (Animal Sciences, University of Wisconsin-Madison) and and his host from the Chair for Plant Breeding, Prof. Chris-Carolin Schön, have developed new methods for predicting complex traits in plant and animal breeding and in human or veterinary medicine using genomic information and statistical learning techniques. The goal was to develop methodology that accounts for the highly-dimensional nature of genomic information as well as genome complexity, from the perspective of genetic improvement of agricultural species, as well as personalized prediction of treatment outcomes in medicine.

TUM-IAS funded doctoral candidate:
Katrin Töpner (PhD in 2019), Plant Breeding

Publications by the Focus Group

2015

  • Gianola, D.; de los Campos, G.; Toro, M. A.; Naya, H.; Schon, C.-C.; Sorensen, D.: Do Molecular Markers Inform About Pleiotropy? Genetics 201 (1), 2015, 23-29 more…
  • Gianola, Daniel; Rosa, Guilherme J.M.: One Hundred Years of Statistical Developments in Animal Breeding. Annual Review of Animal Biosciences 3 (1), 2015, 19-56 more…

2014

  • Gianola, Daniel; Weigel, Kent A.; Krämer, Nicole; Stella, Alessandra; Schön, Chris-Carolin: Enhancing Genome-Enabled Prediction by Bagging Genomic BLUP. PLoS ONE 9 (4), 2014, e91693 more…

2013

  • Lehermeier, Christina; Wimmer, Valentin; Albrecht, Theresa; Auinger, Hans-Jürgen; Gianola, Daniel; Schmid, Volker J.; Schön, Chris-Carolin: Sensitivity to prior specification in Bayesian genome-based prediction models. Statistical Applications in Genetics and Molecular Biology 12 (3), 2013 more…
  • Wimmer, Valentin; Lehermeier, Christina; Albrecht, Theresa; Auinger, Hans-Jürgen; Wang, Yu; Schön, Chris-Carolin: Genome-Wide Prediction of Traits with Different Genetic Architecture Through Efficient Variable Selection. Genetics 195 (2), 2013, 573-587 more…