PD Dr. rer. nat. habil. Dörte Wittenburg
Research Institute for Farm Animal Biology (FBN)
Head of the focus topic "Promoting diversity in animal farming"
Head of Working group Statistics in Genomics
Wilhelm-Stahl-Allee 2
18196 Dummerstorf
Head of the focus topic "Promoting diversity in animal farming"
Head of Working group Statistics in Genomics
Wilhelm-Stahl-Allee 2
18196 Dummerstorf
Research interests
- Statistical methods for the estimation of genetic effects on quantitative traits
- Inclusion of dependencies between genomic sites in penalised regression approaches
- Estimation of population-genetic parameters (linkage disequilibrium and recombination rate)
Curriculum Vitae
- 2021: Habilitation and Venia Legendi in animal breeding and genetics
Thesis: Statistical perspectives on dependencies between genomic markers - Since 2019: Head of Research Group “Statistics in Genomics”, FBN Dummerstorf
- 2013-2018: Head of Junior Scientist Group “Improving the genome-based phenotype prediction”, FBN Dummerstorf
- 2008-2012: Postdoc in Junior Scientist Group “BovIBI Bovine Integrative Bioinformatics for Genomic Selection”, FBN Dummerstorf
- 2005-2008: Doctoral studies in statistical genetics (Dr. rer. nat. in Biomathematics), FBN Dummerstorf and University Greifswald
PhD thesis: Statistical modelling of birth weight variability within litter in pigs - 2000-2005: Studies of Business Mathematics (Dipl.-Math. oec.), University Rostock
Diploma thesis: Linear and generalised linear models for the detection of QTL effects on the variability of repeated measurements
Teaching
Contribution to lectures in the module “Statistical modelling and experimental design” which is part of the master programme Sustainable Agricultural Systems at the University Rostock, AUF
Master theses offered in the field of animal breeding at https://www.auf.uni-rostock.de/studium/studienorganisation/angebot-abschlussarbeiten/
Publications
Hampel, A.; Teuscher, F.; Wittenburg, D. (2016):
A likelihood approach for the estimation of recombination rate and linkage disequilibrium in half-sib families . Schriftenreihe / Leibniz-Institut für Nutztierbiol 25: 9-12
Wittenburg, D.; Teuscher, F.; Klosa, J.; Reinsch, N. (2016):
Covariance between genotypic effects and its use for genomic inference in half-sib families. G3-Genes Genomes Genetics 6 (9): 2761-2772
https://dx.doi.org/10.1534/g3.116.032409
Zebunke, M.; Repsilber, D.; Nürnberg, G.; Wittenburg, D.; Puppe, B. (2015):
The backtest in pigs revisited - an analysis of intra-situational behaviour. Appl Anim Behav Sci 169: 17-25
https://dx.doi.org/10.1016/j.applanim.2015.05.002
Wittenburg, D.; Melzer, N.; Reinsch, N. (2015):
Genomic additive and dominance variance of milk performance traits. J Anim Breed Genet 132 (1): 3-8
https://dx.doi.org/10.1111/jbg.12103
Wittenburg, D.; Reinsch, N. (2014):
Selective shrinkage of genomic effects using synthetic dependencies in neighboring chromosome regions. In: Proceedings of the 10th World Congress on Genetics Applied to Livestock Production (American Society of Animal Science, Hrsg.): 216
Melzer, N.; Wittenburg, D.; Repsilber, D. (2013):
Investigating a complex genotype-phenotype map for development of methods to predict genetic values based on genome-wide marker data - a simulation study for the livestock perspective. Arch Tierzucht 56 (38): 380-398
https://dx.doi.org/10.7482/0003-9438-56-038
Melzer, N.; Wittenburg, D.; Repsilber, D. (2013):
Integrating milk metabolite profile information for the prediction of traditional milk traits based on SNP information for Holstein cows. Plos One 8 (8): 1-10
https://dx.doi.org/10.1371/journal.pone.0070256
Melzer, N.; Wittenburg, D.; Hartwig, S.; Jakubowski, S.; Kesting, U.; Willmitzer, L.; Lisec, J.; Reinsch, N.; Repsilber, D. (2013):
Investigating associations between milk metabolite profiles and milk traits of Holstein cows. J Dairy Sci 96 (3): 1521-1534
https://dx.doi.org/10.3168/jds.2012-5743
Muràni, E.; Ponsuksili, S.; Reyer, H.; Wittenburg, D.; Wimmers, K. (2013):
Expression variation of the porcine ADRB2 has a complex genetic background. Mol Genet genomics 288 (11): 615-625
https://dx.doi.org/10.1007/s00438-013-0776-2
Wittenburg, D.; Melzer, N.; Willmitzer, L.; Lisec, J.; Kesting, U.; Reinsch, N.; Repsilber, D. (2013):
Milk metabolites and their genetic variability. J Dairy Sci 96 (4): 2557-2569
https://dx.doi.org/10.3168/jds.2012-5635
Wittenburg, D.; Melzer, N.; Reinsch, N. (2011):
Including non-additive genetic effects in Bayesian methods for the prediction of genetic values based on genome-wide markers. BMC Genet 12: 74-88
https://dx.doi.org/10.1186/1471-2156-12-74
Wittenburg, D.; Teuscher, F.; Reinsch, N. (2010):
Statistical tools to detect genetic variation for a sex dimorphism in piglet birth weight. J Anim Sci 89 (3): 622-629
https://dx.doi.org/10.2527/jas.2009-2692
Wittenburg, D.; Guiard, V.; Teuscher, F.; Reinsch, N. (2010):
Analysis of birth weight variability in pigs with respect to liveborn and total born offspring. J Anim Breed Genet 128 (1): 35-43
https://dx.doi.org/10.1111/j.1439-0388.2010.00880.x
Bielohuby, M.; Sawitzky, M.; Johnsen, H.; Wittenburg, D.; Beuschlein, F; Wolf, E.; Hoeflich, A. (2009):
Decreased p44/42 Mitogen-Activated protein Kinase Phoshorylation in Gender- or Hormone-Related But Not during Age-Related Adrenal Gland Growth in Mice. Endocrinology 150 (3): 1269-1277
https://dx.doi.org/10.1210/en.2008-1055
Wittenburg, D.; Guiard, V.; Teuscher, F.; Reinsch, N. (2008):
Comparison of statistical models to analyse the genetic effect on within-litter variance in pigs. Animal 2 (11): 1559-1568
https://dx.doi.org/10.1017/S1751731108002851
Wittenburg, D. (2008):
Statistical modelling of birth weight variability within litter in pigs Rostock: 1- 144
Wittenburg, D.; Guiard, V.; Liese, F.; Reinsch, N. (2007):
Linear and generalized linear models for the detection of QTL effects on within-subject variability. Genet Res 89 (4): 245-257
https://dx.doi.org/10.1017/S0016672307008968