Animal Breeding and Genetics

Dr. Ulrike Ober




Education and Employments







since 10/2015Manager at Ernst & Young GmbH, Frankfurt/M., Germany,
People Advisory Services
09/2013 - 09/2015Senior Consultant at Ernst & Young GmbH, Frankfurt/M., Germany,
Talent & Reward
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 PostDoc at the Department for Animal Sciences
10/2009 - 09/2012 PhD in Mathematics (Dr. rer. nat.)
Supervisors: Prof. M. Schlather und Prof. H. Simianer
10/2011 - 11/2011 Research stay at the North Carolina State University, Raleigh, USA
(with Prof. T. F. C. Mackay)
05/2011 - 02/2012 Mentor within the mentoring-programme of the Faculty of Mathematics and Computer Science
08/2010 - 12/2010 Research stay at the University of Wisconsin-Madison, Madison, USA
(with Prof. D. Gianola)
10/2010 - 08/2013 Associate member of the DFG Research Training Group 1644 «Scaling Problems in Statistics»
10/2009 - 09/2012 Member of the PhD Programme "Applied Statistics and Empirical Methods" at the Centre for Statistics
10/2009 - 09/2012 Research associate at the Department for Animal Sciences (within the "Synbreed" -project)
10/2009 Diploma in Mathematics (Dipl.-Math.)
07/2007 - 02/2009 Student research assistant at the Institute for Mathematical Stochastics
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: October 1, 2015