I. Hoeschele

发表

Discovery of meaningful associations in genomic data using partial correlation coefficients

Alberto de la Fuente, Ina Hoeschele, Pedro Mendes, 2004, Bioinform..

Cross-species transcriptional analysis reveals conserved and host-specific neoplastic processes in mammalian glioma

J. Simard, S. Devine, C. Miller, 2018, Scientific Reports.

Nonparametric Bayesian Variable Selection With Applications to Multiple Quantitative Trait Loci Mapping With Epistasis and Gene–Environment Interaction

Ina Hoeschele, Fei Zou, Seunggeun Lee, 2010, Genetics.

Ina Hoeschele, Hendrik Stunnenberg, Steven Shea, 2014, Nature Communications.

A note on local maxima in maximum likelihood, restricted maximum likelihood, and baysian estimation of variance components

I. Hoeschele, 1989 .

Adrenocortical Challenge Response and Genomic Analyses in Scottish Terriers With Increased Alkaline Phosphate Activity

I. Hoeschele, S. Werre, K. Zimmerman, 2018, Front. Vet. Sci..

Gene Network Inference via Structural Equation Modeling in Genetical Genomics Experiments

A. G. de la Fuente, Bing Liu, I. Hoeschele, 2008, Genetics.

A note on joint versus gene-specific mixed model analysis of microarray gene expression data.

I. Hoeschele, Hua Li, 2005, Biostatistics.

Approximating Identity-by-Descent Matrices Using Multiple Haplotype Configurations on Pedigrees

I. Hoeschele, Guimin Gao, 2005, Genetics.

Genetical Genomics Analysis of a Yeast Segregant Population for Transcription Network Inference

N. Bing, I. Hoeschele, 2005, Genetics.

Transcriptomic profiles of aging in purified human immune cells

D. Jacobs, R. Barr, K. Lohman, 2015, BMC Genomics.

Comparison of “Maximum A‐Posteriori Estimation” and “Quasi Best Linear Unbiased Prediction” with threshold characters

I. Hoeschele, 1988 .

Gaussian Process Based Bayesian Semiparametric Quantitative Trait Loci Interval Mapping

Haibo Zhou, I. Hoeschele, F. Zou, 2010, Biometrics.

Mapping-linked quantitative trait loci using Bayesian analysis and Markov chain Monte Carlo algorithms.

I. Hoeschele, P. Uimari, I Hoeschele, 1997, Genetics.

Bayesian and residual maximum likelihood statistical gene mapping

I. Hoeschele, 1997 .

The use of multiple markers in a Bayesian method for mapping quantitative trait loci.

G Thaller, I. Hoeschele, P. Uimari, 1996, Genetics.

A Monte Carlo method for Bayesian analysis of linkage between single markers and quantitative trait loci. I. Methodology

I. Hoeschele, G. Thaller, 1996, Theoretical and Applied Genetics.

Blood monocyte transcriptome and epigenome analyses reveal loci associated with human atherosclerosis

L. Hou, S. Murphy, D. Jacobs, 2017, Nature Communications.

Use of reproductive technology to estimate variances and predict effects of gene interactions.

P. VanRaden, I. Hoeschele, T. Lawlor, 1992, Journal of dairy science.

Genetic evaluation methods for populations with dominance and inbreeding

I. D. Boer, I. Hoeschele, I. Boer, 1993, Theoretical and Applied Genetics.

Differential protein expression analysis using stable isotope labeling and PQD linear ion trap MS technology

I. Hoeschele, I. Lazar, Jenny M. Armenta, 2009, Journal of the American Society for Mass Spectrometry.

Genome scan for loci regulating HDL cholesterol levels in Finnish extended pedigrees with early coronary heart disease

J. Kere, I. Hoeschele, M. Savolainen, 2010, European Journal of Human Genetics.

The association between aging-related monocyte transcriptional networks and comorbidity burden: the Multi-Ethnic Study of Atherosclerosis (MESA)

J. Pankow, R. Barr, K. Lohman, 2022, GeroScience.

- 1-From genetics to gene networks : Evaluating approaches for integrative analysis of genetic marker and gene expression data for the purpose of gene network inference

Bing Liu, A. Fuente, I. Hoeschele, 2007 .

Rapid inversion of additive by additive relationship matrices by including sire-dam combination effects.

P. VanRaden, I. Hoeschele, 1991, Journal of dairy science.

Estimation of variance components with dominance and inbreeding in dairy cattle.

I. Hoeschele, A. Vollema, 1993, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Impact of different strategies and amounts of preferential treatment on various methods of bull-dam selection.

I. Hoeschele, R. Pearson, D. Weigel, 1994, Journal of dairy science.

Additive and nonadditive genetic variance in female fertility of Holsteins.

I. Hoeschele, Ina Hoeschele, 1991, Journal of dairy science.

Analysis of QTL workshop I granddaughter design data using least-squares, residual maximum likelihood and bayesian methods.

I. Hoeschele, P. Uimari, G. Thaller, 1996 .

Use of mixed-model methodology to improve estimation of crossbreeding parameters

I. Hoeschele, P. Komender, 1989 .

Inferring Gene Regulatory Networks from Genetical Genomics Data

Ina Hoeschele, Bing Liu, Bing Liu, 2010 .

Analysis of Genes Underlying Soybean Quantitative Trait Loci Conferring Partial Resistance to Phytophthora sojae

Ina Hoeschele, Konstantinos Krampis, Sucheta Tripathy, 2010 .

Bioinformatics Applications Note Systems Biology Simulating Systems Genetics Data with Sysgensim

Andrea Pinna, Alberto de la Fuente, Nicola Soranzo, 2022 .

Investigation of the inheritance of birth defects in swine by complex segregation analysis

L. Dempfle, I. Hoeschele, G. Thaller, 1996 .

Mapping Quantitative Trait Loci for Partial Resistance to Phytophthora sojae in a Soybean Interspecific Cross

I. Hoeschele, A. Dorrance, B. Tyler, 2010 .

Infection and genotype remodel the entire soybean transcriptome

Ina Hoeschele, Konstantinos Krampis, Sucheta Tripathy, 2009, BMC Genomics.

Methylomics of gene expression in human monocytes.

D. Jacobs, R. Barr, J. Kaufman, 2013, Human molecular genetics.

Maximum likelihood analysis of rare binary traits under different modes of inheritance.

L. Dempfle, I. Hoeschele, G. Thaller, 1996, Genetics.

Utilization of Dominance Variance Through Mate Allocation Strategies

I. Hoeschele, A. DeStefano, 1992 .

Search for pleiotropic QTL on chromosome BTA6 affecting yield traits of milk production.

I. Hoeschele, P. Sørensen, C. Kühn, 2003, Journal of dairy science.

Rapid inversion of dominance relationship matrices for noninbred populations by including sire by dam subclass effects.

P M VanRaden, P. VanRaden, I. Hoeschele, 1991, Journal of dairy science.

Mapping quantitative trait loci for milk production and health of dairy cattle in a large outbred pedigree.

I. Hoeschele, C. Ernst, D. Boichard, 1998, Genetics.

Identification of Differentially Expressed Genes in Individual Bovine Preimplantation Embryos Produced by Nuclear Transfer: Improper Reprogramming of Genes Required for Development1

I. Hoeschele, M. Pfister-Genskow, R. Schultz, 2005, Biology of reproduction.

Multiple-trait prediction of transmitting abilities for herd life and estimation of economic weights using relative net income adjusted for opportunity cost.

I. Hoeschele, R. Pearson, D. Weigel, 1995, Journal of dairy science.

Role of DNA methylation on the association between physical activity and cardiovascular diseases: results from the longitudinal multi-ethnic study of atherosclerosis (MESA) cohort

Yongmei Liu, I. Hoeschele, W. Post, 2021, BMC Genomics.

Nucleoplasmin facilitates reprogramming and in vivo development of bovine nuclear transfer embryos

Ina Hoeschele, Bing Liu, I. Hoeschele, 2006, Molecular reproduction and development.

Association of genetic defects with yield and type traits: the weaver locus effect on yield.

I. Hoeschele, T. Meinert, 1990, Journal of dairy science.

Estimation of variance components of threshold characters by marginal posterior modes and means via Gibbs sampling

I. Hoeschele, B. Tier, 1995, Genetics Selection Evolution.

Theoretical and Statistical Approaches to Understand Human Mitochondrial DNA Heteroplasmy Inheritance

I. Hoeschele, A. Dickerman, D. Samuels, 2010 .

Cell Cycle Model System for Advancing Cancer Biomarker Research

I. Hoeschele, I. Lazar, Milagros J. Tenga, 2017, Scientific Reports.

Blood monocyte transcriptome and epigenome analyses reveal loci associated with human atherosclerosis

L. Hou, S. Murphy, D. Jacobs, 2017, Nature Communications.

Haplotyping Methods for Pedigrees

Ina Hoeschele, David B. Allison, Guimin Gao, 2009, Human Heredity.

Functional Genomics and Bioinformatics of the Phytophthora sojae Soybean Interaction

Brian M. Smith, R. Hanlon, I. Hoeschele, 2008 .

Alterations of a Cellular Cholesterol Metabolism Network Are a Molecular Feature of Obesity-Related Type 2 Diabetes and Cardiovascular Disease

Ina Hoeschele, Alberto de la Fuente, Timothy Howard, 2015, Diabetes.

Sporadic breast cancer patients' germline DNA exhibit an AT‐rich microsatellite signature

J. Minna, I. Hoeschele, H. Garner, 2011, Genes, chromosomes & cancer.

Potential Gain from Insertion of Major Genes into Dairy Cattle

I. Hoeschele, 1990 .

DNA Methylation of the Aryl Hydrocarbon Receptor Repressor Associations With Cigarette Smoking and Subclinical Atherosclerosis

Brian D. Bennett, D. Jacobs, R. Barr, 2015, Circulation. Cardiovascular genetics.

Transcriptome prediction performance across machine learning models and diverse ancestries

H. Im, Yongmei Liu, A. Luke, 2021, HGG advances.

Short title: Cellular cholesterol in obesity-related disease

S. Murphy, D. Jacobs, S. Blankenberg, 2015 .

Mapping quantitative trait loci controlling milk production by exploiting progeny testing

M. Georges, I. Hoeschele, J. Womack, 1995 .

Advances in statistical methods to map quantitative trait loci in outbred populations.

I. Hoeschele, P. Uimari, F. Grignola, 1997, Genetics.

Fine-mapping of quantitative trait loci in half-sib families using current recombinations.

I. Hoeschele, G. Thaller, 2000, Genetical research.

Non-linearity in the genetic relationship between milk yield and type traits in Holstein cattle

I. Hoeschele, J. Sölkner, C. Fuerst, 1998 .

Monocyte miRNAs Are Associated With Type 2 Diabetes

D. Corcoran, D. Jacobs, K. Lohman, 2022, Diabetes.

ATP-binding cassette transporter A1 locus is not a major determinant of HDL-C levels in a population at high risk for coronary heart disease.

P. von Rohr, I. Hoeschele, M. Savolainen, 2003, Atherosclerosis.

Secondhand Tobacco Smoke Exposure Associations With DNA Methylation of the Aryl Hydrocarbon Receptor Repressor

R. Barr, J. Kaufman, K. Lohman, 2016, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

Association between sleep disordered breathing and epigenetic age acceleration: Evidence from the Multi-Ethnic Study of Atherosclerosis

D. Levy, S. Redline, Yongmei Liu, 2019, EBioMedicine.

Multiple QTL on chromosome six in dairy cattle affecting yield and content traits

Qin Zhang, I. Hoeschele, C. Kühn, 2002 .

Mapping quantitative trait loci in outcross populations via residual maximum likelihood. II. A simulation study

I. Hoeschele, G. Thaller, F. Grignola, 1996, Genetics Selection Evolution.

Mapping quantitative trait loci in outcross populations via residual maximum likelihood. I. Methodology

I. Hoeschele, B. Tier, F. Grignola, 1996, Genetics Selection Evolution.

Cross-species transcriptional analysis reveals conserved and host-specific neoplastic processes in mammalian glioma

J. Simard, S. Devine, C. Miller, 2018, Scientific Reports.

Estimation of additive, dominance and epistatic variance components using finite locus models implemented with a single-site Gibbs and a descent graph sampler.

I. Hoeschele, F. Du, 2000, Genetical research.

Elimination of Quantitative Trait Loci Equations in an Animal Model Incorporating Genetic Marker Data

I. Hoeschele, 1993 .

Cell Cycle Model System for Advancing Cancer Biomarker Research

I. Hoeschele, I. Lazar, Milagros J. Tenga, 2017, Scientific Reports.

Herd Final Score and Its Relationship to Genetic and Environmental Parameters of Conformation Traits of United States Holsteins

I. Hoeschele, R. Pearson, C. D. Smothers, 1993 .

Bioinformatics Applications Note Systems Biology Simulating Systems Genetics Data with Sysgensim

A. Fuente, I. Hoeschele, Andrea Pinna, 2022 .

Finite mixture model analysis of microarray expression data on samples of uncertain biological type with application to reproductive efficiency.

N. Bing, I. Hoeschele, K. Eilertsen, 2005, Veterinary immunology and immunopathology.

Blood monocyte transcriptome and epigenome analyses reveal loci associated with human atherosclerosis

S. Murphy, D. Jacobs, K. Lohman, 2017, Nature Communications.

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.

I. Hoeschele, O. Distl, K. Stock, 2007, Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie.

Bayesian estimation of genetic parameters for multivariate threshold and continuous phenotypes and molecular genetic data in simulated horse populations using Gibbs sampling

I. Hoeschele, O. Distl, K. Stock, 2007, BMC Genetics.

Bayesian prediction of breeding values for multivariate binary and continuous traits in simulated horse populations using threshold-linear models with Gibbs sampling.

I. Hoeschele, O. Distl, K. Stock, 2008, Animal : an international journal of animal bioscience.

Estimation of genetic parameters for categorical, continuous and molecular genetic data in multivariate animal threshold models using Gibbs sampling

I. Hoeschele, O. Distl, 2006 .

Influence of priors in Bayesian estimation of genetic parameters for multivariate threshold models using Gibbs sampling

Ina Hoeschele, Ottmar Distl, I. Hoeschele, 2007, Genetics Selection Evolution.

Bayesian analysis of linkage between genetic markers and quantitative trait loci. I. Prior knowledge

I. Hoeschele, Paul M. VanRaden, 1993, Theoretical and Applied Genetics.

Mapping linked quantitative trait loci via residual maximum likelihood

I. Hoeschele, F. Grignola, Q. Zhang, 1997, Genetics Selection Evolution.

Genetic evaluation with data presenting evidence of mixed major gene and polygenic inheritance

I. Hoeschele, Ina Hoeschele, 1988, Theoretical and Applied Genetics.

DNA Methylation of the Aryl Hydrocarbon Receptor Repressor Associations With Cigarette Smoking and Subclinical Atherosclerosis

K. Lohman, Yongmei Liu, D. Siscovick, 2015, Circulation: Cardiovascular Genetics.

Dna Methylation of the Aryl Hydrocarbon Receptor Repressor Associations with Cigarette Smoking and Subclinical Atherosclerosis Running Title: Reynolds Et Al.; Ahrr Methylation Associations with Atherosclerosis

K. Lohman, D. Siscovick, I. Hoeschele, 2022 .

Inferring Gene Regulatory Networks from Genetical Genomics Data

Bing Liu, A. Fuente, I. Hoeschele, 2010 .

Penalized Multimarker vs. Single-Marker Regression Methods for Genome-Wide Association Studies of Quantitative Traits

Ina Hoeschele, Patrick Breheny, Hui Yi, 2014, Genetics.

Using a complete microsatellite map and the grand‐daughter design to locate polygenes controlling milk production.

M. Georges, I. Hoeschele, D. Nielsen, 1994 .

Bayesian Versus Maximum Quasi-Likelihood Methods for Sire Evaluation with Categorical Data

D. Gianola, I. Hoeschele, 1989 .

Threshold models with heterogeneous residual variance due to missing information

D. Gianola, I. Hoeschele, I. Misztal, 1988, Génétique, sélection, évolution.

Gene Network Inference via Structural Equation Modeling in Genetical Genomics Experiments

A. G. de la Fuente, Bing Liu, I. Hoeschele, 2008, Genetics.

Bayesian analysis of linkage between genetic markers and quantitative trait loci. II. Combining prior knowledge with experimental evidence

I. Hoeschele, Paul M. VanRaden, 1993, Theoretical and Applied Genetics.

Statistical techniques for detection of major genes in animal breeding data

I. Hoeschele, 1988, Theoretical and Applied Genetics.

Comment

Ina Hoeschele, Lei Bao, I. Hoeschele, 2008, Technometrics.

Mapping Quantitative Trait Loci in Outbred Pedigrees

I. Hoeschele, I. Hoeschele, 2004 .

Conditional Probability Methods for Haplotyping in Pedigrees

Ina Hoeschele, Guimin Gao, I. Hoeschele, 2004, Genetics.

LXR signaling pathways link cholesterol metabolism with risk for prediabetes and diabetes

K. Lohman, I. Hoeschele, M. Goodarzi, 2024, The Journal of clinical investigation.

LXR signaling pathways link cholesterol metabolism with risk for prediabetes and diabetes

K. Lohman, I. Hoeschele, M. Goodarzi, 2024, The Journal of clinical investigation.