Previous Publications (-2013)

(New Publications)

2013

Peer-reviewed paper

  • Aggrey, S. E., and R. Rekaya2013Dissection of Koch’s residual feed intake: Implications for selectionPoultry Sci. 92:2600-2605.
  • Elzo, M.A., C.A. Martinez, G.C. Lamb, D.D. Johnson, M.G. Thomas, I. Misztal, D.O. Rae, J.G. Wasdin, J.D. Driver. 2013. Genomic-polygenic evaluation for ultrasound and weight traits in Angus?Brahman multibreed cattle with the Illumina3k chip, Livest. Sci. 153:39-49.
  • Dufrasne, M., I. Misztal, S. Tsuruta, J. Holl, K. A. Gray, and N. Gengler. 2013. Estimation of genetic parameters for birth weight, preweaning mortality, and hot carcass weight of crossbred pigs. J. Anim. Sci. 5565-5571.
  • Lourenco, D. A. L., I. Misztal, H. Wang, I. Aguilar, S. Tsuruta, and J. K. Bertrand. 2013. Prediction accuracy for a simulated maternally affected trait of beef cattle using different genomic evaluation models. J. Anim. Sci. 4090-4098.
  • Misztal, I., S. Aggrey, and B. Muir. 2013. Experiences with a Single-Step Genome Evaluation (ssGBLUP)” . Poultry Sci. 92:2530-2534.
  • Misztal, I., S. Tsuruta, I. Aguilar, A. Legarra, P. M. VanRaden, and T. J. Lawlor. 2013. Methods to Approximate Reliabilities in Single-Step Genomic Evaluation. J. Dairy Sci. 96:647-654.
  • Misztal, I., Z.G. Vitezica, A. Legarra, I. Aguilar, and A.A. Swan. 2013. Unknown-parent groups in single-step genomic evaluation. J. Anim. Breed. Genet. 130:252-258.
  • Rekaya, R., R. L. Sapp, T. Wing, and S. E. Aggrey2013Genetic evaluation for growth, body composition, feed efficiency, and leg soundnessPoultry Sci. 92:923-929.
  • Rekaya, R., S. Smith, H. El Hay, and S. E. Aggrey2013Misclassification in binary responses and effect on genome-wide association studiesPoultry Sci. 92:2535-2540.
  • Smith, S., E. Hay, N. Farhat, and R. Rekaya2013Genome wide association studies in presence of misclassified binary responsesBMC Genet. 14:124.
  • Tsuruta, S., I. Misztal, and T. J. Lawlor. 2013. Genomic evaluations of final score for US Holsteins benefit from the inclusion of genotypes on cows. J. Dairy Sci. 96:3332-3335.

2012

Peer-reviewed paper

  • Bloemhof, S.,A. Kause, E. Knol, J. van Arendonk, and I. Misztal. 2012. Heat stress effects on farrowing rate in sows: Genetic parameter estimation using within-line and crossbred models. J. Anim. Sci. 90:2109-2119.
  • Elzo,M. A., G. C. Lamb, D. D. Johnson, M. G. Thomas, I. Misztal, D. O. Rae, C. A. Martinez, J. G. Wasdin and J. D. Driver. 2012. Genomic-polygenic evaluation of Angus-Brahman multibreed cattle for feed efficiency and postweaning growth using the Illumina3k chip. J. Animal Sci. 90:2488-2497.
  • Faux, P., N. Gengler, and I. Misztal. 2012. A recursive algorithm for decomposition and creation of the inverse of the genomic relationship matrix. J. Dairy Sci. 95:6093-6102.
  • Liu, X., Y. Wang, R. Rekaya, and T. N. Sriram2012Sample size determination for classifiers based on single-nucleotide polymorphismsBiostatistics. 13:217-227.
  • London, M. L., J. K. Bernard, M. A. Froetschel, J. K. Bertrand, and W. M. Graves2012The relationship between weight, age, and average daily gain to show performance of Georgia 4-H and Future Farmers of America (FFA) commercial dairy heifersJ. Dairy Sci. 95:986-996.
  • Simeone, R., I. Misztal, I. Aguilar, and Z. Vitezica. 2012. Evaluation of a multi-line broiler chicken population using a single-step genomic evaluation procedure. J, Anim. Breed. Genet. 129( 1):3-10.
  • Wang, H., I. Misztal, I. Aguilar, A. Legarra, and W. M. Muir. 2012. Genome-wide association mapping including phenotypes from relatives without genotypes. Genet. Res. 94:73-83.
  • Wang, H., B. Woodward, S. Bauck, and R. Rekaya2012Imputation of missing SNP genotypes using low density panelsLivestock Science 146:80-83.
  • Wang, Y., S. J. Joseph, X. Liu, M. Kelley, and R. Rekaya2012SNPxGE2: a database for human SNP–coexpression associationsBioinformatics 28:403-410.
  • Williams, J. L., J.K. Bertrand, M. Lukaszewicz and I. Misztal. 2012. Genotype by environment interaction for growth due to high altitude disease in United States Angus cattle. J. Animal Sci. 90:2152-2158.
  • Williams, J. L., J.K. Bertrand, M. Lukaszewicz and I. Misztal. 2012. Genotype by region and season interactions on weaning weight in United States Angus cattle. J. Animal Sci. 90:3368-3374.

2011

Peer-reviewed paper

  • Aguilar, I., I. Misztal , A. Legarra , S. Tsuruta. 2011. Efficient computation of genomic relationship matrix and other matrices used in single-step evaluation. J. Anim. Breed. Genet. 128(6):422-428.
  • Aguilar, I., I. Misztal, S. Tsuruta, G. R. Wiggans and T. J. Lawlor. 2011. Multiple trait genomic evaluation of conception rate in Holsteins. J. Dairy Sci. 94:2621-2624.
  • Boonkum, W., I. Misztal, M. Duangjinda, V. Pattarajinda, S. Tumwasorn, and S. Buaban. 2011. Short communication: Genetic effects of heat stress on days open for Thai Holstein crossbreds. J. Dairy Sci. 94:1592-1596.
  • Boonkum, W., I. Misztal, M. Duangjinda, V. Pattarajinda, S. Tumwasorn, and J. Sanpote. 2011. Genetic effects of heat stress on milk yield of Thai Holstein crossbreds. J. Dairy Sci. 94:487-492.
  • Chen, C. Y., I. Misztal, I. Aguilar, A. Legarra, and B. Muir. 2011. Effect of different genomic relationship matrix on accuracy and scale. J. Anim. Sci. 89:2673-2679.
  • Chen, C. Y., I. Misztal, I. Aguilar, S. Tsuruta, T. H. E. Meuwissen, S. E. Aggrey, T. Wing, and W. M. Muir. 2011. Genome-wide marker-assisted selection combining all pedigree phenotypic information with genotypic data in one step: an example using broiler chickens. J. Anim. Sci. 89:23-28.
  • Costa, R. B., I. Misztal, M. A. Elzo, J. K. Bertrand, L. O. C. Silva, and M. Lukaszewicz. 2011. Estimation of genetic parameters for mature weight in Angus cattle. J. Animal Sci. 89:2680-2686.
  • Forni, S., I. Aguilar, and I. Misztal. 2011. Different genomic relationship matrices for single-step analysis using phenotypic, pedigree and genomic information. Genet. Sel. Evol. 43:1.
  • Johanson, J. M., P. J. Berger, S. Tsuruta, and I. Misztal. 2011. A Bayesian Threshold-Linear Model Evaluation of Perinatal Mortality, Dystocia, Birth Weight, and Gestation Length in a Holstein Herd. J. Dairy Sci. 94:450-460.
  • Koduru, V. K. R., S. Tsuruta, M. Łukaszewicz, I. Misztal, and T. J. Lawlor2011Studies on changes of estimated breeding values of U.S. Holstein bulls for final score from the first to second crop of daughtersJ. Appl. Genet. 52:81-88.
  • Perez-Enciso, M., and I. Misztal. 2011. Qxpak.5: Old mixed model solutions for new genomics problems. BMC Bioinformatics.12:202.
  • Rekaya, R., R. L. Sapp, E. H. Hay, R. Davis, and J. K. Bertrand2011Simulation study for analysis of binary responses in the presence of extreme case problemsGenet. Sel. Evol. 43:41.
  • Simeone, R., I. Misztal, I. Aguilar, and A. Legarra. 2011. Evaluation of the utility of genomic relationship matrix as a diagnostic tool to detect mislabeled genotyped animals in a broiler chicken population. J, Anim. Breed. Genet. 128(5):386-393.
  • Tsuruta, S., I. Aguilar, I. Misztal, and T. J. Lawlor. 2011. Multiple-trait genomic evaluation of linear type traits using genomic and phenotypic data in US Holsteins. J. Dairy Sci. 94:4198-4204.
  • Vitezica, Z. G., I. Aguilar, I. Misztal, and A. Legarra. 2011. Bias in Genomic Predictions for Populations Under Selection. Genet. Res. Camb. 93:357-366.

2010

Peer-reviewed paper

  • Aguilar, I., I. Misztal, D. L. Johnson, A. Legarra, S. Tsuruta, and T. J. Lawlor. 2010. A unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score. J. Dairy Sci. 93:743:752.
  • Aguilar, I., I. Misztal, and S. Tsuruta. 2010. Short Communication: Genetic trends of milk yield under heat stress for US Holsteins. J. Dairy Sci. 93:1754-1758.
  • Aguilar, I. S. Tsuruta, and I. Misztal. 2010. Computing options for multiple-trait test-day random regression models while accounting for heat tolerance. J. Anim. Breed. Genet. 127:235-241.
  • Barb, C. R., G. J. Hausman, R. Rekaya, C. A. Lents, S. Lkhagvadorj, L. Qu, W. Cai, O. P. Couture, L. L. Anderson, J. C. M. Dekkers, and C. K. Tuggle2010Gene expression in hypothalamus, liver, and adipose tissues and food intake response to melanocortin-4 receptor agonist in pigs expressing melanocortin-4 receptor mutationsPhysiological Genomics 41:254-268.
  • Chen, C. Y., I. Misztal, S. Tsuruta, W. O. Herring, J. Holl, and M. Culbertson. 2010. Influence of heritable social status on daily gain and feeding pattern in pigs. J. Anim. Breed. Genet. 127:107-112.
  • Chen, C. Y., I. Misztal, S. Tsuruta, B. Zumbach, W. O. Herring, T. Long, and M. Culbertson. 2010. Estimation of genetic parameters of feed intake and daily gain in Durocs using data from electronic swine feeders. J. Anim. Breed. Genet. 27:230-234.
  • Chen, C. Y., I. Misztal, S. Tsuruta, B. Zumbach, W. O. Herring, T. Long, and M. Culbertson. 2010. Genetic analyses of stillbirth in relation to litter size using random regression models. J. Anim. Sci. 88:3800-3808.
  • Joseph, S., S. L. Pratt, E. Pavan, R. Rekaya, and S. K. Duckett2010Omega-6 Fat Supplementation Alters Lipogenic Gene Expression in Bovine Subcutaneous Adipose Tissue. Gene Regul. Syst. Biol. 4:91-101.
  • Joseph, S. J., K. R. Robbins, E. Pavan, S. I. Pratt, S. K. Duckett, and R. Rekaya2010Effect of diet supplementation on the expression of bovine genes associated with fatty acid synthesis and metabolismBioinform. Biol. Insights. 4:19-31.
  • Joseph, S. J., K. R. Robbins, W. Zhang, and R. Rekaya2010Comparison of two output-coding strategies for multi-class tumor classification using gene expression data and latent variable model as binary classifierCancer Inform. 9:39-48.
  • Scholtz. A. J., S.W.P. Cloete, J.B. van Wyk, I. Misztal, E. du Toit, and T.C. de K. van der Linde. 2010. Genetic (co)variances between wrinkle score and absence of breech strike in mulesed and unmulesed Merino sheep using a threshold model. Animal Production Science. 50:210-218.
  • Soyeurt, H, I. Misztal and N. Gengler. 2010. Genetic Variability of Milk Components Based on Mid-Infrared (MIR) Spectral Data. J. Dairy Sci. 93:1722-1728.
  • Tusell, L., M. Garcia-Tomas, M. Baselga, R. Rekaya, O. Rafel, J. Ramon, M. Lopez-Bejar, and M. Piles2010Interaction of genotype x artificial insemination conditions for male effect on fertility and prolificacyJ. Anim. Sci. 88:3475-3485.
  • Wang, Y., X. Liu, K. Robbins, and R. Rekaya2010AntEpiSeeker: detecting epistatic interactions for case-control studies using a two-stage ant colony optimization algorithmBMC Research Notes 3:117.
  • Wang, Y., and R. Rekaya2010LSOSS: Detection of cancer outlier differential gene expressionBiomark. Insights 5:69-78.
  • Wang, Y., K. R. Robbins, and R. Rekaya2010Comparison of Computational Models for Assessing Conservation of Gene Expression across SpeciesPLoS ONE. 5:e13239.
  • Williams, J. L., I. Aguilar, R. Rekaya, and J. K. Bertrand2010Estimation of breed and heterosis effects for growth and carcass traits in cattle using published crossbreeding studiesJ. Anim. Sci. 88:460-466.
  • Zhang, W., K. Robbins, Y. Wang, K. Bertrand, and R. Rekaya2010A jackknife-like method for classification and uncertainty assessment of multi-category tumor samples using gene expression informationBMC Genomics 11:273.
  • Zumbach, B., I. Misztal, C.Y. Chen, S. Tsuruta, M. Lukaszewicz, W.O. Herring, and M. Culbertson. 2010. Use of serial pig body weights for genetic evaluation of daily gain. J. Anim. Breed. Genet. 126:93-99.

2009

Peer-reviewed paper

  • Aguilar, I., I. Misztal, and S. Tsuruta. 2009. Genetic components of heat stress for dairy cattle with multiple lactations. J. Dairy Sci. 92: 5702-5711.
  • Bertrand, J. K2009Using actual and ultrasound carcass information in beef genetic evaluation programsRevista Brasileira de Zootecnia. 38:58-63.
  • Cloete,S.W.P., I. Misztal, and J.J. Olivier. 2009. Genetic parameters and trends for lamb survival and birth weight in a Merino flock divergently selected for multiple rearing ability. J. Anim. Sci. 87:2196?2208.
  • Huang, C., S. Tsuruta, J. K. Bertrand, I. Misztal, T. J. Lawlor, and J. S. Clay. 2009. Trends for conception rate of Holsteins over time in Southeastern USA. J. Dairy Sci. 92:4641-4647.
  • Legarra, A., I. Aguilar, and I. Misztal. 2009. A relationship matrix including full pedigree and genomic information. J. Dairy Sci. 92:4656-4663.
  • Misztal, I., A. Legarra, and I. Aguilar. 2009. Computing procedures for genetic evaluation including phenotypic, full pedigree and genomic information. J. Dairy Sci. 92:4648-4655.
  • Pszczola, M., I. Aguilar, and I. Misztal. 2009. Short communication: Trends for monthly changes in days open in Holsteins. J. Dairy Sci. 92:4689-4696.
  • Rekaya, R. and K. Robbins. Ant colony algorithm for analysis of gene interaction in high-dimensional association data. Revista Brasileira de Zootecnia. 38:93-97.
  • Sanchez, J. P., I. Misztal , I. Aguilar, B. Zumbach, and R. Rekaya. 2009. Genetic determination of the onset of heat stress on daily milk production in the US Holstein cattle. J. Dairy Sci. 92: 4035-4045.
  • Sanchez, J. P., R. Rekaya and I. Misztal. 2009. Reaction norm models subject to threshold response. Genet. Sel. Evol.41:10.
  • Spangler, M. L., K. R. Robbins, J. K. Bertrand, M. MacNeil, and R. Rekaya2009Ant colony optimization as a method for strategic genotype samplingAnim. Genet. 40:308-314
  • Tsuruta, S., I. Misztal, C. Huang, and T. J. Lawlor. 2009. Bivariate analysis of conception rates and test-day milk yields using a threshold-linear model with random regressions. J. Dairy Sci. 92: 2922-2930.
  • Wang, Y., and R. Rekaya2009A comprehensive analysis of gene expression evolution between humans and miceEvolutionary Bioinformatics 5:81.

2008

Peer-reviewed paper

  • Aguilar, I., and I. Misztal. 2008. Recursive algorithm for inbreeding coefficients assuming non-zero inbreeding of unknown parents. J. Dairy Sci. 91:1669-1672.
  • Bohmanova,J., F. Miglior, J. Jamrozik, I. Misztal and P.G. Sullivan. 2008. Comparison of random regression models with Legendre polynomials and linear splines for production traits and somatic cell score of Canadian Holstein cows. J. Dairy Sci. 91:3627-3638.
  • Bohmanova, J., I. Misztal, S. Tsuruta, H.D. Norman, and T.J. Lawlor. 2008. Heat Stress as a Factor in Genotype x Environment Interaction in U.S. Holsteins. J. Dairy Science. 91:840-846.
  • Huang, C., S. Tsuruta, J. K. Bertrand, I. Misztal, T. J. Lawlor, and J. S. Clay. 2008. Environmental Effects on Conception Rate of Holsteins in New York and Georgia. J. Dairy Sci. 92:818-825.
  • Joseph, S. J., K. Robbins, W. Zhang, and R. Rekaya2008Effects of misdiagnosis in input data on the identification of differential expression genes in incipient Alzheimer patientsIn Silico Biology 8:545-554.
  • Legarra, A., and I. Misztal. 2008. Computing strategies in genome-wide selection. J. Dairy Sci. 91:360-366.
  • Misztal, I. 2008. Reliable Computing in Estimation of Variance Components. J. Anim. Breed. Genet. 125:363-370.
  • Pribyl, J., H. Krejcova, J. Pribylova, I. Misztal, S. Tsuruta, and N. Mielenz. 2008. Models for evaluation of growth of performance tested bulls. Czech J. Anim. Sci. 53:45-54.
  • Sanchez, J. P., I. Misztal, I. Aguilar, and J. K. Bertrand. 2008. Genetic evaluation of growth in a multibreed beef cattle population using random regression linear spline models. J. Anim. Sci. 86:267-277.
  • Sanchez, J. P., I. Misztal, and J. K. Bertrand. 2008. Evaluation of methods for computing approximate accuracies in maternal random regression models for growth trait in beef. J. Anim. Sci. 86:1057-1066.
  • Spangler, M. L., R. L. Sapp, J. K. Bertrand, M. D. MacNeil, and R. Rekaya2008Different methods of selecting animals for genotyping to maximize the amount of genetic information known in the populationJ. Anim. Sci. 86:2471-2479.
  • Tsuruta, S. and I. Misztal. 2008. Computing options for genetic evaluation with a large number of genetic markers. J. Anim. Sci. 86:1514-1518.
  • Wiggans, G. R., S. Tsuruta, and I. Misztal. 2008. Adaptation of an Animal-Model Method for Approximation of Reliabilities to a Sire-Maternal Grandsire Model. J. Dairy Sci. 91:4058-4061.
  • Zumbach, B., I. Misztal, S. Tsuruta, J. P. Sanchez, M. Azain, W. Herring, J. Holl, T. Long, and M. Culbertson. 2008. Genetic components of heat stress in finishing pigs: Development of a heat load function. J. Anim. Sci. 86: 2082-2088.
  • Zumbach, B., I. Misztal, S. Tsuruta, J. P. Sanchez, M. Azain, W. Herring, J. Holl, T. Long, and M. Culbertson. 2008. Genetic components of heat stress in finishing pigs: Parameter estimation. J. Anim. Sci. 86: 2076-2081.
  • Zumbach, B., S. Tsuruta, I. Misztal and K.J. Peters. 2008. Use of a test day model for dairy goat milk yield across lactations in Germany. J. Anim. Breed. Gen. 125:160-167.