Animal Breeding and Genetics


Dr. Ulrike Ober


Education and Employments





































since 10/2017Senior Manager
Ernst & Young GmbH Wirtschaftsprüfungsgesellschaft
People Advisory Services
10/2015 - 09/2017Manager
Ernst & Young GmbH Wirtschaftsprüfungsgesellschaft
09/2013 - 09/2015Senior Consultant
Ernst & Young GmbH Wirtschaftsprüfungsgesellschaft
12/2012Foundation Council Award of the Georg-August-University Göttingen Public Law Foundation in the Category "Outstanding Publications of Young Scientists"
10/2012 - 08/2013 Postdoctoral Researcher
Department for Animal Sciences
Georg-August-Universität Göttingen
10/2009 - 09/2012 PhD in Mathematics (Dr. rer. nat.)
Georg-August-Universität Göttingen
Supervisors: Prof. M. Schlather und Prof. H. Simianer
10/2011 - 11/2011 Research Stay
North Carolina State University, Raleigh, USA
(with Prof. T. F. C. Mackay)
05/2011 - 02/2012 Mentor
Faculty of Mathematics and Computer Science
Georg-August-Universität Göttingen
08/2010 - 12/2010 Research Stay
University of Wisconsin-Madison, Madison, USA
(with Prof. D. Gianola)
10/2010 - 08/2013 Associate Member
DFG Research Training Group 1644 «Scaling Problems in Statistics»
Georg-August-Universität Göttingen
10/2009 - 09/2012 Research Associate within the "Synbreed" -project
Department for Animal Sciences
Georg-August-Universität Göttingen
10/2009 - 09/2012 PhD Programme "Applied Statistics and Empirical Methods"
Centre for Statistics
Georg-August-Universität Göttingen
10/2009 Diploma in Mathematics (Dipl.-Math.)
Georg-August-Universität Göttingen
07/2007 - 02/2009 Student Research Assistant
Institute for Mathematical Stochastics
Georg-August-Universität Göttingen
10/2005 - 10/2009 Studies of Mathematics
Georg-August-Universität Göttingen
2005 - 2009 Scholarship
German National Academic Foundation
2005 Academic High School Diploma (German “Abitur”)
Rheingauschule Geisenheim



Publications



  • Ober*, U., Huang*, W., Magwire, M., Schlather, M., Simianer, H., Mackay, T.F.C. (2015)
    Accounting for Genetic Architecture Improves Sequence Based Genomic Prediction for a Drosophila Fitness Trait.
    PLoS ONE 10(5): e0126880. doi:10.1371/journal.pone.0126880
    *equal contribution

  • Zhang, Z., Erbe, M., He, J., Ober, U., Gao, N., Zhang, H., Simianer, H., Li, J. (2015)
    Accuracy of Whole Genome Prediction Using a Genetic Architecture Enhanced Variance-Covariance Matrix.
    G3: Genes|Genomes|Genetics: g3.114.016261. doi:10.1534/g3.114.016261

  • Zhang, Z., Ober, U., Erbe, M., Zhang, H., Gao, N., He, J., Li, J., Simianer, H. (2014)
    Improving the Accuracy of Whole Genome Prediction for Complex Traits Using the Results of Genome Wide Association Studies.
    PLoS ONE 9(3): e93017. doi:10.1371/journal.pone.0093017

  • Weigend, S., Janßen-Tapken, U., Erbe, M., Ober, U., Weigend, A., Preisinger, R., Simianer, H. (2014)
    Biodiversität beim Huhn - Potenziale für die Praxis.
    Züchtungskunde 86(1), 24-41

  • Ober, U., Malinowski, A., Schlather, M., Simianer, H. (2013)
    The Expected Linkage Disequilibrium in a Finite Population Revisited.
    arXiv:1304.4856v2 [q-bio.PE]

  • Ober, U. (2012)
    Genomic Prediction for Quantitative Traits: Using Kernel Methods and Whole Genome Sequence Based Approaches
    PhD-thesis. Niedersächsische Staats- und Universitätsbibliothek, Georg-August-Universität Göttingen. Link.

  • Ober, U., Ayroles, J.F., Stone, E.A., Richards, S., Zhu, D., Gibbs, R.A., Stricker, C., Gianola, D., Schlather, M., Mackay, T.F.C., Simianer, H. (2012)
    Using Whole Genome Sequence Data to Predict Quantitative Trait Phenotypes in Drosophila melanogaster.
    PLoS Genetics 8(5): e1002685. doi:10.1371/journal.pgen.1002685

  • Ober, U., Erbe, M., Long, N., Porcu, E., Schlather, M., Simianer, H. (2011)
    Predicting Genetic Values: a Kernel-Based Best Linear Unbiased Prediction with Genomic Data.
    Genetics 188(3), 695-708 pdf

  • Ober, U., Erbe, M., Schlather, M., Simianer, H. (2010)
    Kernel-based BLUP with Genomic Data.
    Proceedings: 9th World Congress on Genetics Applied to Livestock Production (WCGALP), ISBN 978-3-00-031608-1 pdf

  • Ober, U. (2009)
    Zum Problem, ob zentrale Divisionsalgebren von Primzahlgrad stets zyklisch sind.
    Diploma Thesis (unpublished), Institute of Mathematics, Georg-August-Universität Göttingen, supervised by Prof. I. Kersten



Talks



  • Using whole genome sequence data to predict quantitative trait phenotypes in Drosophila melanogaster.
    June 22nd, 2012, 4th International Conference on Quantitative Genetics, Edinburgh, Scotland

  • Estimation of effective population size from linkage disequilibrium structure revisited.
    June 14th, 2012, Research Seminar "New developments in quantitative and population genetics of Drosophila", Göttingen, Germany

  • A new recursion formula for the expected linkage disequilibrium in a finite population.
    April 12th, 2012, European Mathematical Genetics Meeting 2012, Göttingen, Germany

  • Using whole genome sequence data to predict quantitative trait phenotypes in Drosophila melanogaster.
    November 1st, 2011, Mackay Lab, NC State University, Raleigh, USA

  • Using whole genome sequence data to predict quantitative trait phenotypes in Drosophila melanogaster.
    September 30th, 2011, Genetisch-Statistischer Ausschuss der DGfZ, Werder (Havel), Germany

  • Using whole genome sequence data to predict phenotypic traits in Drosophila melanogaster.
    August 30th, 2011, 62nd Annual Meeting of the European Federation of Animal Science (EAAP), Stavanger, Norway

  • Kernel-based BLUP with Genomic Data.
    October 1st, 2010, Opening ceremony of the Deutsche Forschungsgemeinschaft Research Training Group 1644 "Scaling Problems in Statistics", Göttingen, Germany

  • Kernel-based BLUP with Genomic Data.
    August 4th, 2010, 9th World Congress on Genetics Applied to Livestock Production (WCGALP), Leipzig, Germany


Reviewing for


BMC Genomics, Frontiers in Livestock Genomics, Genetics, Heredity, PLoS ONE, Statistics and Probability Letters, Theoretical and Applied Genetics


last modified: September 27, 2017