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Ina Hoeschele, Ph.D.
Professor, Virginia Bioinformatics Institute and Department of Statistics
Virginia Tech, Blacksburg, VA 24061-0477
Phone:
(540) 231-3135
Fax: (540) 231-2606
Email:
inah@vt.edu
Adjunct Professor, Department of Cancer Biology
Wake Forest University School of Medicine
Medical Center Blvd.
Winston-Salem, NC 27157
Tel:
(336) 716-3833
Fax:
(336) 716-6427




Education:

Hohenheim University, Stuttgart, Germany, Ph.D. - Quantitative Genetics & Biometry
Hohemheim University, Stuttgart, Germany – Dipl. Ing Agr. Agricultural Sciences

Research Topics:

Quantitative and statistical genetics
QTL mapping
Genetic architecture of complex traits
Pedigree analysis
Genetic parameter estimation
(Co)Variance components estimation
Generalized linear mixed models
Design and analysis of microarray expression experiments
Gene regulatory network inference
Genetical Genomics

Background:

Dr. Hoeschele has been an Assistant, Associate and Full Professor at Virginia Tech since 1989. Prior to these appointments she was a postdoctoral fellow in the Departments of Animal Science and Statistics at Iowa State University and at the University of Illinois at Champaign-Urbana.  Dr. Hoeschele was a visiting Professor in the Animal Genetics and Breeding Unit of the University of New England (Australia), at Wageningen Agricultural University (The Netherlands), and in the Department of Statistics at North Carolina State University. Dr. Hoeschele serves as an Associate Editor for the journals Biometrics and Genetics-Selection-Evolution. She has served on various NIH and NSF panels, lastly on the NSF/NIGMS Panel on Mathematical Biology.
Research:

Dr. Hoeschele serves as the Principal Investigator on an NIH grant and a grant from the Monsanto Company investigating statistical and computational methods for haplotyping and joint linkage and linkage disequilibrium QTL mapping in complex pedigrees. Dr. Hoeschele serves as a Co-Investigator and lead-statistician on an NSF Plant Genome grant studying the interactions, regulatory relationships and networks of host and pathogen genes in P. Sojae infection of Soybean. These and previous projects involve QTL mapping in various populations including complex human and animal pedigrees as well as inbred line crosses in plants and mice, and the design and analysis of cDNA and Affymetrix gene expression experiments. A current focus is QTL mapping of gene expression profiles in segregating populations (Genetical Genomics) and genetic network inference based on undirected dependency graphs and causal regulatory networks reconstructed via structural equation modeling.

Selected recent publications:

Hoeschele, I. (2003) Mapping of quantitative trait loci in outbred pedigrees. Handbook of Statistical Genetics, 2nd edition, DJ Balding, M Bishop & C Cannings (eds.), Wiley, p. 477-519.

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., I. Hoeschele, P. Sorensen and F.-X. Du (2004) Conditional probability methods for haplotyping in pedigrees. Genetics 167:2555-2565.

De la Fuente, A., N. Bing, I. Hoeschele and P. Mendes (2004) Discovery of topologically meaningful associations in genomic data using partial correlation coefficients. Bioinformatics 20:3565-3574.

Bing, N., I. Hoeschele, K. Ye and K.J. Eilertsen (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.

Hoeschele, I. and H. Li (2005) A note on joint versus gene-specific mixed model analysis of microarray gene expression data. Biostatistics 6:183-186.

Pfister-Genskow, M., C. Myers, L. Childs, J. Lacson, J. Betthauser, J. Gouleke, E.P. Forsberg, Y. Zheng, G. Leno, R. Schultz, B. Liu, C. Chetia, X. Yang, I. Hoeschele and K.J. Eilertsen (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.

Bing, N and I. Hoeschele (2005) Genetical genomics analysis of a yeast segregant population for transcription network inference. Genetics 170:533-542.

Gao, G., and I. Hoeschele (2005) Approximating identity-by-descent matrices using multiple haplotype configurations on pedigrees. Genetics 171:365-376.

Gao, G., and I. Hoeschele (2005) A note on a conditional enumeration haplotyping method in pedigrees. Lecture Notes in Bioinformatics, New York: Springer-Verlag (in press).

Betthauser, J.M., M. Pfister-Genskow, H. Xu, P.J. Gouleke, J.C. Lacson, R.W. Koopang, B. Liu, I. Hoeschele, K.J. Eilertsen and G.H. Leno (2006) Nucleoplasmin facilitates reprogramming and in vivo development of bovine nuclear transfer embryos. Molecular Reproduction and Development (in press).

 

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Last Modified: 3/27/2008