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Ina Hoeschele

Professor

Education

  • German National Science Foundation Postdoctoral Fellow, Department of Animal Sciences, (D. Gianola), University of Illinois, Champaign-Urbana, 1987
  • German National Science Foundation Postdoctoral Fellow, Departments of Animal Science and Statistics, (M.F. Rothschild, A.E. Freeman, D.A. Harville), Iowa State University, Ames, 1986 - 1987
  • Ph.D., Animal Genetics and Biometry, Hohenheim University, Stuttgart, Germany, 1983-1986
  • Diploma (Dipl. Ing. Agr., B.S. & MS equivalent), Animal Genetics and Biometry, Hohenheim University, Stuttgart, Germany, 1978-1983

Awards and Honors

  • German Foreign Academic Exchange Organization (DAAD) Fellow, Station de Genetique Quantitative et Appliquee, Jouy-en-Josas, France, 1985
  • Young Scientist's Research Award of the European Association for Animal Production (EAAP), 1985
  • Summa Cum Laude Dissertation Award, Hohenheim University, Stuttgart, Germany, 1986
  • Postdoctoral Fellowship of the German National Science Foundation, 1986-87
  • Visiting Professor, Australian Meat Corporation Fund, Animal Genetics and Breeding Unit, University of New England, Armidale, NSW, Australia, 1993
  • Visiting Professor, Human Capital and Mobility Fund, Wageningen Agricultural University, The Netherlands, 1995
  • Visiting Professor, Department of Statistics, North Carolina State University (Host: Dr. Bruce S. Weir, NIH supported 6-month sabbatical), 1999

Other Activities

  • Associate Editor (Biometrics (past), Genetics, Genetics-Selection-Evolution)
  • Member of the University-wide Genetics Ph.D. program in Genetics, Bioinformatics and Computational Biology (GBCB) (steering and admissions committees)

Professional Memberships

  • American Statistical Association
  • Genetics Society of America
  • Sigma Xi - The Scientific Research Society

  • STAT 5564 Statistical Genetics
  • STAT 5984 Special Topics in Statistical Genomics and Bioinformatics

  • Statistical genetics
  • Genetical Systems Biology
  • QTL linkage mapping
  • Genome-wide association mapping (GWAS)
  • Statistical design and analysis of 'omics experiments
  • Bayesian parametric and nonparametric methods
  • High-dimensional variable selection and feature extraction

  • Hoeschele, I. and E. Niebel. 1983. Population analysis of beef performance characteristics by visual appraisal in young Fleckvieh heifers. Zuchtungskde. 55:321-329.
  • Karras, K., I. Hoeschele, and G. Averdunk. 1985. A first evaluation of stayability in the German Fleckvieh. Der Tierzuchter 37:116-118.
  • Hoeschele, I., J.L. Foulley, J.J. Colleau, and D. Gianola. 1986. Genetic evaluation for multiple binary responses. Genet. Sel. Evol. 18:299-319.
  • Hoeschele, I., D. Gianola, and J.L. Foulley. 1987. Estimation of variance components with quasi-continuous data using Bayesian methods. J. Anim. Breed. Genet. 104:334-349.
  • Foulley, J.L., S. Im, D. Gianola, and I. Hoeschele. 1987. Empirical Bayes estimation of parameters for n polygenic binary traits. Genet. Sel. Evol. 19: 197-224.
  • Hoeschele, I. 1988. "Comparison of Maximum A-Posteriori Estimation" and "Quasi Best Linear Unbiased Prediction" with quasi-continuous data. J. Anim. Breed. Genet. 105:337-361.
  • Hoeschele, I., M.F. Rothschild, and D. Gianola. 1988. Recursive estimation of breeding values with categorical data. J. Dairy Sci. 71:452-466.
  • Hoeschele, I. 1988. Genetic evaluation with data presenting evidence of mixed major gene and polygenic inheritance. Theor. Appl. Genet. 76:81-92.
  • Hoeschele, I. 1988. Statistical techniques for detection of major genes in animal breeding data. Theor. Appl. Genet. 76:311-319.
  • Misztal, I., D. Gianola, and I. Hoeschele. 1989. Note on threshold models with heterogeneous residual variance due to missing information. Genet. Sel. Evol. 20:511.
  • Komender, P. and I. Hoeschele. 1989. Use of mixed model methodology to improve estimation of crossbreeding parameters. Livst. Prod. Sci. 21:101-113.
  • Hoeschele, I. and D. Gianola. 1989. Bayesian versus Maximum Quasi-Likelihood methods for sire evaluation with categorical data. J. Dairy Sci. 72:1569-1577.
  • Hoeschele, I. 1989. A note on local maxima in maximum likelihood, restricted maximum likelihood and Bayesian estimation of variance components. J. Statist. Comput. Simul. 33:149-160.
  • Hoeschele, I. and T.R. Meinert. 1990. Association of genetic defects with yield and type traits: a major production gene is linked to Weaver. J. Dairy Sci. 73:2503-2515.
  • Hoeschele, I. 1990. Potential gains from major gene insertion in dairy cattle. J. Dairy Sci. 73:2601-2618.
  • Hoeschele, I. and P.M. VanRaden. 1991. Rapid method to compute inverses of dominance relationship matrices for noninbred populations including sire x dam subclass effects. J. Dairy Sci. 74:557-569.
  • VanRaden, P.M. and I. Hoeschele. 1991. Rapid method to compute inverses of additive-by-additive relationship matrices including sire-dam combination effects. J. Dairy Sci. 74:570-579.
  • Hoeschele, I. 1991. Additive and nonadditive genetic variance in female fertility of Holsteins. J. Dairy Sci. 74:1743-1752.
  • DeStefano, A.L. and I. Hoeschele. 1992. Utilization of dominance variance through mate allocation strategies. J. Dairy Sci. 75:1680-1690.
  • VanRaden, P.M., T.J. Lawlor, T.H. Short, and I. Hoeschele. 1992. Use of reproductive technology to investigate gene interactions. J. Dairy Sci. 75:2892-2901.
  • Hoeschele, I. and P.M. VanRaden. 1993. Bayesian analysis of linkage between genetic markers and quantitative trait loci. I. Prior knowledge. Theor. Appl. Genet. 85:953-960.
  • Hoeschele, I. and P.M. VanRaden. 1993. Bayesian analysis of linkage between genetic markers and quantitative trait loci. II. Combining prior knowledge with experimental evidence. Theor. Appl. Genet. 85:946-952.
  • Hoeschele, I. 1993. Elimination of quantitative trait loci equations in an animal model incorporating genetic marker data. J. Dairy Sci. 76:1693-1713.
  • Smothers, C.D., R.E. Pearson, I. Hoeschele, and D.A. Funk. 1993. Herd level for final score and its relationship to genetic and environmental parameters of conformation traits in U.S. Holsteins. J. Dairy Sci. 76:1671-1677.
  • Hoeschele, I. and A.R. Vollema. 1993. Estimation of variance components with dominance and inbreeding in dairy cattle. J. Anim. Breed. Genet. 10:93-104.
  • DeBoer, I.J.M. and I. Hoeschele. 1993. Genetic evaluation methods for populations with dominance and inbreeding. Theor. Appl. Genet. 86:245-258.
  • Hoeschele, I. and E.O. Romano. 1993. On the use of marker information from granddaughter designs. J. Anim. Breed. Genet. 110:429-449.
  • Weigel, D.J., R.E. Pearson, and I. Hoeschele. 1994. Impact of different strategies and levels of preferential treatment on different methods of bull dam selection. J. Dairy Sci. 77:3163-3173.
  • Grignola, F.E., I. Hoeschele, and K. Meyer. 1994. Empirical Best Linear Unbiased Prediction to map QTL. 5th World Congr. Genet. Appl. Livest. Prod., Guelph, Canada, Vol 21:245.
  • Hoeschele, I. 1994. Bayesian QTL mapping via the Gibbs sampler. 5th World Congr. Genet. Appl. Livest. Prod., Guelph, Canada, Vol 21:241.
  • Georges, M., D. Nielsen, M. Mackinnon, A. Mishra, R. Okimoto, A.T. Pasquino, L.S. Sargeant, A. Sorensen, M.R. Steele, X. Zhao, J.E. Womack, and I. Hoeschele*. 1994. Exploiting progeny-testing to identify polygenes controlling milk production in cattle. 5th World Congr. Genet. Appl. Livest. Prod., Guelph, Canada, Vol 21:81.
  • Hoeschele, I., B. Tier, and H.-U. Graser. 1995. Multiple trait genetic evaluation for one polychotomous and several continuous traits with missing data and different models. J. Anim. Sci. 73:1609-1627.
  • Weigel, D.J., B.G. Cassell, I. Hoeschele, and R.E. Pearson. 1994. Multiple trait prediction of transmitting abilities for herd life and estimation of economic weights using relative net income adjusted for opportunity cost. J. Dairy Sci. 78:639-649.
  • Georges, M., D. Nielsen, M. Mackinnon, A. Mishra, R. Okimoto, A.T. Pasquino, L.S. Sargeant, A. Sorensen, M.R. Steele, X. Zhao, J.E. Womack and I. Hoeschele. 1995. Mapping genes controlling milk production: toward marker-assisted selection in livestock. Genetics 139:907-920.
  • Hoeschele, I. and B. Tier. 1995. Marginal Maximum Likelihood estimation of variance components of threshold characters via Gibbs sampling. Genet. Sel. Evol. 27:519-540.
  • Thaller, G. and I. Hoeschele. 1996a. A Monte Carlo method for Bayesian analysis of linkage between single markers and quantitative trait loci: I. Methodology. Theor Appl Genet 93:1161-1166.
  • Thaller, G. and I. Hoeschele. 1996b. A Monte Carlo method for Bayesian analysis of linkage between single markers and quantitative trait loci: II. A simulation study. Theor Appl Genet 93:1167-1174.
  • Thaller, G., L. Dempfle and I. Hoeschele. 1996. Investigation of the inheritance of birth defects in swine by complex segregation analysis. J. Anim. Breed. Genet. 113:77-92.
  • Uimari, P., G. Thaller and I. Hoeschele. 1996. A Monte Carlo method for Bayesian analysis of linkage between multiple linked markers and quantitative trait loci. Genetics 143:1831-1842.
  • Grignola F.E., I. Hoeschele and B. Tier. 1996. Mapping Quantitative Trait Loci in outcross populations via Residual Maximum Likelihood. I. Methodology. Genet. Sel. Evol. 28:479-490.
  • Grignola F.E., I. Hoeschele, Q. Zhang and G. Thaller. 1996. Mapping Quantitative Trait Loci in outcross populations via Residual Maximum Likelihood. II. A simulation study. Genet. Sel. Evol. 28:491-504.
  • Thaller, G., L.. Dempfle and I. Hoeschele. 1996. Maximum Likelihood analysis of binary traits under different modes of inheritance. Genetics 143:1819-1829.
  • Uimari, P., Q. Zhang, F.E. Grignola, I. Hoeschele and G. Thaller. 1996. Analysis of QTL workshop I granddaughter design data using Least-Squares, Residual Maximum Likelihood, and Bayesian methods. Journal of Quantitative Trait Loci 7: No. 2.
  • Hoeschele, I., P. Uimari, F.E. Grignola, Q. Zhang and K.M. Gage. 1996. Statistical mapping of polygene loci in livestock. Proceedings of the Biometrics Section, p.21-25.
  • Grignola, F.E., Q. Zhang and I. Hoeschele. 1997. Mapping linked quantitative trait loci via Residual Maximum Likelihood. Genet. Sel. Evol. 29:529-544.
  • Hoeschele I. 1997. Bayesian and Residual Maximum Likelihood statistical gene mapping. Animal Biotechnology 8:47-54.
  • Uimari, P. and I Hoeschele. 1997. Mapping linked quantitative trait loci using Bayesian analysis and Markov chain Monte Carlo algorithms. Genetics 146:735-743.
  • Hoeschele, I., P. Uimari, F.E. Grignola, Q. Zhang and K.M. Gage. 1997.Advances in statistical methods to map quantitative trait loci in outbred populations. Genetics 147: 1445-1456.
  • Zhang, Q., D. Boichard, M. C. Bishop, I. Hoeschele, C. Ernst et al.. 1998. Mapping quantitative trait loci for milk production and health of dairy cattle in a large outbred pedigree. Genetics 149:1959-1973.
  • Fuerst-Waltl, B., J. Soelkner, A. Essl and I. Hoeschele. 1997. Estimation of non-linear genetic relationships between yield and type traits in Holstein cattle. 6th World Congr. Genet. Appl. Livest. Prod., January 11-16, 1988, Armidale, NSW, Australia, Vol 23:415-418.
  • Zhang, Q., and I. Hoeschele. 1997. Multiple QTL mapping via Residual Maximum Likelihood in outbred populations. 6th World Congr. Genet. Appl. Livest. Prod., January 11-16, 1988, Armidale, NSW, Australia, Vol 26: 265-268.
  • Fuerst, C., I. Hoeschele, J. Sölkner and A. Essl. 1997. The potential use of specific combining ability as selection criterion. 6th World Congr. Genet. Appl. Livest. Prod., January 11-16, 1988, Armidale, NSW, Australia, Vol. 26:109-111.
  • Hoeschele, I., F.E. Grignola, Y.-J. Li, G. Thaller, P. Uimari and Q. Zhang. 1996. MQREML, MQAREML, MPLGIB, and NQTLGIB: Software for QTL mapping in outcross or complex pedigrees. 6th World Congr. Genet. Appl. Livest. Prod., January 11-16, 1988, Armidale, NSW, Australia, Vol 27:441-442.
  • Fuerst-Waltl, B., J. Soelkner, A. Essl, I. Hoeschele and C. Fuerst (1998) Non-linearity in the genetic relationship between milk yield and type traits in Holstein cattle. Livst. Prod. Sci 57:41-47.
    55.
  • Du F.-X., I. Hoeschele and K.M. Gage-Lahti (1999) Estimation of additive and dominance variances components in finite polygenic models and complex pedigrees. Genetical Research 74:179-187.
  • Du, F., and I. Hoeschele (2000) Estimation of additive, dominance, and epistatic variance components using finite-locus models implemented with a single-site Gibbs and a descent graph sampler. Genetical Research 76:187-198.
  • Thaller G., and I. Hoeschele (2000) Fine-mapping of quantitative trait loci in half-sib families using current recombinations. Genetical Research 76:87-104.
  • Du, F. and I. Hoeschele (2000) A note on genotype and allele elimination in complex pedigrees with incomplete genotype data. Genetics 156:2051-2062.
  • Von Rohr, P. and I. Hoeschele (2002) Robust Bayesian QTL mapping using skewed Student- t distributions. Genetics, Selection, Evolution 34:1-21.
  • Freyer G., C. Kühn, R. Weikard, Q. Zhang, M. Mayer and I. Hoeschele (2002) Multiple QTL on chromosome six in dairy cattle affecting yield and content traits. J. Anim. Breed. Genet. 119:69-82.
  • Kakko S, Kelloniemi J, P von Rohr, I Hoeschele, M Tamminen, ME. Brousseau, YA Kesäniemi, and MJ Savolainen (2002) ATP-binding cassette transporter A1 locus was not a major locus for HDL-C regulation in a population with high risk of coronary heart disease. Arteriosclerosis 166:285-290.
  • Du. F.-X., P. Sorensen, G. Thaller and I. Hoeschele (2002) Joint linkage disequilibrium and linkage mapping of quantitative trait loci. Proc. 7th World Congr. Genet. Appl. Livest. Prod. 32:661-668.
  • Stricker C., M. Schelling, F.-X. Du, I. Hoeschele, S. A. Fernández and R. L. Fernando (2002) A comparison of efficient genotype samplers for complex pedigrees and multiple linked loci. Proc. 7th World Congr. Genet. Appl. Livest. Prod. 32:637-644.
  • Freyer G., P. Sorensen, C. Kuhn, R. Weikard and I. Hoeschele (2003) Search for pleiotropic QTL on chromosome BTA6 affecting milk production traits. J. Dairy Sci. 86: 999-1008.
  • Gao, G., Hoeschele, I., Sorensen, P., and F.-X. Du (2004) Conditional probability methods for haplotyping in pedigrees. Genetics 167:2055-2065.
  • De la Fuente, A., N. Bing, I. Hoeschele and P. Mendes (2004) Discovery of meaningful associations in genomic data using partial correlation coefficients. Bioinformatics 20, 3565-3574.
  • Pfister-Genskow, M., Myers, C., Childs, L., Lacson, J.C., Betthauser, J., Gouleke, P.J., Forsberg, E., P., Zheng, Y., Leno, G., Schultz, R., Liu, B., Chetia, C., Yang, X., Hoeschele, I., and Eilertsen, K.J. (2005) Identification of differentially expressed genes in individual bovine preimplantation embryos produced by nuclear transfer: Improper reprogramming of genes required for trophoblast development. Biology of Reproduction 72:546-555.
  • Hoeschele, I., and Li, H. (2005) A note on joint versus gene-specific mixed model analysis of microarray gene expression data. Biostatistics 6:183-186.
  • Bing, N., Hoeschele, I., Ye, K., and Eilertsen, K.J. (2005) Finite mixture model analysis of microarray expression data on samples of uncertain biological type with application to reproductive efficiency. Veterinary Immunology and Immunopathology 105:187-196.
  • Bing, N., and Hoeschele, I., (2005) Genetical genomics analysis of a yeast segregant population for transcription network inference. Genetics 170:533-542.
  • Gao, G., and Hoeschele, I. (2005) Approximating identity-by-descent matrices using multiple haplotype configurations on pedigrees. Genetics 171:365-376.
  • Betthauser, J.M., Pfister-Genskow, M., Xu, H., Gouleke, P.J., Lacson, J.C., Koopang, R.W., Liu, B., Hoeschele, I., Eilertsen, K.J., and Leno, G.H. (2006) Nucleoplasmin facilitates reprogramming and in vivo development of bovine nuclear transfer embryos. Molecular Reproduction and Development 73:977-986.
  • Stock, K.F., Distl, O., and Hoeschele, I. (2007) Influence of priors in Bayesian estimation of genetic parameters for multivariate threshold models using Gibbs sampling. Genetics-Selection-Evolution 39:123-137.
  • Stock, K.F., Hoeschele, I. and Distl, O. (2007) Bayesian estimation of genetic parameters for multivariate threshold and continuous phenotypes and molecular genetic data in simulated horse populations using Gibbs sampling. BMC Genetics 8:19.
  • Stock, K.F., I. Hoeschele and O. Distl (2007) Estimation of Genetic parameters and prediction of breeding values for multivariate threshold and continuous data in a simulated horse population using Gibbs sampling and residual maximum likelihood. J. Anim. Breed. Genet. 124:308-319.
  • Gao, G. and I. Hoeschele (2007) A note on a haplotyping method in pedigrees. Genetics, Selection, Evolution 40: 25-36.
  • Liu, B., de la Fuente, A., and Hoeschele, I. (2008) Gene network inference via structural equation modeling in genetical genomics experiments. Genetics 178: 1763-1776.
  • Tyler, B.M., R.J.Y. Jiang, L. Zhou, S. Tripathy, D. Dou, T. Torto-Alalibo, H. Li, Y. Mao, B. Liu, M. Vega-Sanchez, S.X. Mideros, R. Hanlon, B.M. Smith, K. Krampis, K. Ye, S. St. Martin, A.E. Dorrance, I. Hoeschele and M.A. Saghai Maroof (2007) Functional genomics and bioinformatics of the Phytophthora-soybean interaction. Stadler Genetics Symposium book.
  • Bao, L and I. Hoeschele (2008) Comment: Quality assessment of short oligonucleotide microarray data. Technometrics 50: 268-271.
  • Gao, G., D.B. Allison and I. Hoeschele (2008) A review of haplotyping methods in pedigrees. Human Heredity 67:248-266.
  • Huang, H., H. Zhu, F. Cheng, I. Hoeschele and F. Zou (2010) Gaussian process based Bayesian semiparametric quantitative trait loci interval mapping. Biometrics 66:222-232. Selected by the Co-Editors for Showcase session.
  • Zhou, L., S. X. Mideros, L. Bao, R. Hanlon, F. Arredondo, S. Tripathy, K. Kampis, A. Jerauld, C. Evans, S.K. St. Martin, S. Maroof, I. Hoeschele, A.E. Dorrance and B.M. Tyler (2009) Infection and genotype remodel the entire soybean transcriptome. BMC Genomics 10:49.
  • Armenta, J., I.M. Lazar and I. Hoeschele (2009) A quantitative proteomic study of the MCF-7 breast cancer cell line using iTRAQ/PQD linear ion trap MS technology. Journal of the American Society for Mass Spectrometry 20:1287-1302.
  • Kangas-Kontio, T., S. Kakko, S., M. Tamminen, P. Von Rohr, I. Hoeschele, T. Juvonen, J. Kere, and M.J. Savolainen (2009) Genome scan for loci regulating HDL-cholesterol levels in Finnish extended pedigrees with early coronary heart disease. European Journal of Human Genetics (advance online publication November 5 2009; doi: 10.1038/ejhg.2009.202).
  • Zou, F., H. Huang and I. Hoeschele (2010) Nonparametric Bayesian multiple quantitative trait loci mapping with epistasis and gene-environment interaction. Genetics 186:385-394.
  • Wang, H., L. Waller, S. Tripathy, S.K. St. Martin, L. Zhou, K. Krampis, D.M. Tucker, Y. Mao, I. Hoeschele, S.M.A. Maroof, B.M. Tyler and A.E. Dorrance (2010) Analysis of Genes Underlying Soybean QTL Conferring Partial Resistance to Phytophthora sojae. Plant Genome 3:14-22.
  • Tucker, D.M., M.A. Saghai Maroof, S. Mideros, J.A. Skoneczka, D.A. Nabati, G.R. Buss, I. Hoeschele, B.M. Tyler, S.K. St. Martin, and A.E. Dorrance (2010) Mapping quantitative trait loci for partial resistance to Phytophthora sojae in a soybean interspecific cross. Crop Science (doi: 10.2135/cropsci2009.03.0161; Published online 22 Jan. 2010).
  • Galindo, C.L., L.J. McIver, H. Tae, J.F. McCormick, M.A. Skinner, I. Hoeschele, C.M. Lewis, J.D. Minna, D.A. Boothman and H.R. Garner (2010) Sporadic breast cancer patients’ germline DNA exhibit an AT-rich microsatellite signature. Genes, Chromosomes & Cancer (Jan 14, 2011, Epub ahead of print).
  • Pinna, A., N. Soranzo, I. Hoeschele and A. de la Fuente. 2011. “Simulating system genetics data with SysGenSIM”. Bioinformatics (published online: July 6, 2011).

Book Chapters

  • Hoeschele I. (2001, 2003, 2007) Mapping quantitative trait loci in outbred populations. Handbook of Statistical Genetics, DJ Balding, M Bishop & C Cannings (eds.), Wiley, p. 623-677.
  • Liu, B., I. Hoeschele and A. de la Fuente (2010) Inferring gene regulatory networks from genetical genomics data. In: Handbook of research on computational methodologies in gene regulato

 

Ina Hoeschele

Professor

  • Adjunct Professor, Department of Cancer Biology, Biostatistics Core
  • Member, Comprehensive Cancer Center, Wake Forest University School of Medicine, Winston-Salem, NC
  • Adjunct Professor, Virginia Tech Carilion School of Medicine

Dr. Hoeschele's CV