BSc, Animal Sciences, San Paulo State University, 1990
MSc, Animal Breeding, San Paulo State University, 1994
PhD, Biostatistics, University of San Paulo , 1999
Post doctoral, Statistical Genetics, University of Wisconsin - Madison, 2000


AnSci/DySci 361 Intro to Animal & Veterinary Genetics
AnSci/DySci 362 Veterinary Genetics
AnSci/DySci 363 Principles of Animal Breeding


Abdollahi-Arpanahi R, Morota G, Valente BD, Kranis A, Rosa GJ, Gianola D. Differential contribution of genomic regions to marked genetic variation and prediction of quantitative traits in broiler chickens. Genet Sel Evol. 2016 Feb 3;48(1):10.

Peñagaricano F, Valente BD, Steibel JP, Bates RO, Ernst CW, Khatib H, Rosa GJ. Exploring causal networks underlying fat deposition and muscularity in pigs through the integration of phenotypic, genotypic and transcriptomic data. BMC Syst Biol. 2015 Sep 16;9:58

Hu Y, Rosa GJ, Gianola D. A GWAS assessment of the contribution of genomic imprinting to the variation of body mass index in mice. BMC Genomics. 2015 Aug 5;16:576.

Abdollahi-Arpanahi R, Morota G, Valente BD, Kranis A, Rosa GJ, Gianola D. Assessment of bagging GBLUP for whole-genome prediction of broiler chicken traits. J Anim Breed Genet. 2015 Mar 1. doi: 10.1111/jbg.12131. [Epub ahead of print]

Felipe VP, Silva MA, Valente BD, Rosa GJ. Using multiple regression, Bayesian networks and artificial neural networks for prediction of total egg production in European quails based on earlier expressed phenotypes. Poult Sci. 2015 Feb 22.

Ferreira VC, Rosa GJM, Berger YM, Thomas DL. 2015 Survival in crossbred lambs: Breed and geterosis effects. J Anim Sci 93(3): 912-919.

Peñagaricano F, Wang X, Rosa GJ, Radunz AE, Khatib H.Maternal nutrition induces gene expression changes in fetal muscle and adipose tissues in sheep. BMC Genomics. 2014 Nov 28;15:1034.

Wu XL, Gianola D, Rosa GJ, Weigel KA. Meta-analysis of candidate gene effects using bayesian parametric and non-parametric approaches. J Genomics. 2014 Jan 2;2:1-19.

Van Melis MH, Figueiredo LG, Oliveira HN, Eler JP, Rosa GJ, Santana ML Jr, Rezende FM, Ferraz JB. Quantitative genetic study of age at subsequent rebreeding in Nellore cattle by using survival analysis. Genet Mol Res. 2014 May 30;13(2):4071-82.

Abdollahi-Arpanahi R, Pakdel A, Nejati-Javaremi A, Moradi Shahrbabak M, Morota G, Valente BD, Kranis A, Rosa GJ, Gianola D. Dissection of additive genetic variability for quantitative traits in chickens using SNP markers. J Anim Breed Genet. 2014 Jun;131(3):183-93. doi: 10.1111/jbg.12079. Epub 2014 Jan 25.

Bouwman AC, Valente BD, Janss LL, Bovenhuis H, Rosa GJ. Exploring causal networks of bovine milk fatty acids in a multivariate mixed model context. Genet Sel Evol. 2014 Jan 17;46:2.

Abdollahi-Arpanahi R, Nejati-Javaremi A, Pakdel A, Moradi-Shahrbabak M, Morota G, Valente BD, Kranis A, Rosa GJ, Gianola D. Effect of allele frequencies, effect sizes and number of markers on prediction of quantitative traits in chickens. J Anim Breed Genet. 2014 Apr;131(2):123-33.

Laporta J, Rosa GJ, Naya H, Carriquiry M. Liver functional genomics in beef cows on grazing systems: novel genes and pathways revealed. Physiol Genomics. 2014 Feb 15;46(4):138-47.

Piccinato CA, Rosa GJ, N'jai AU, Jefcoate CR, Wiltbank MC. Estradiol and progesterone exhibit similar patterns of hepatic gene expression regulation in the bovine model. PLoS One. 2013 Sep 17;8(9):e73552.

Savegnago RP, Rosa GJ, Valente BD, Herrera LG, Carneiro RL, Sesana RC, El Faro L, Munari DP. Estimates of genetic parameters and eigenvector indices for milk production of Holstein cows. J Dairy Sci. 2013 Nov;96(11):7284-93.

Okut H, Wu XL, Rosa GJ, Bauck S, Woodward BW, Schnabel RD, Taylor JF, Gianola D. Predicting expected progeny difference for marbling score in Angus cattle using artificial neural networks and Bayesian regression models. Genet Sel Evol. 2013 Sep 11;45:34.

Abdalla EA, Rosa GJ, Weigel KA, Byrem T. Genetic analysis of leukosis incidence in United States Holstein and Jersey populations. J Dairy Sci. 2013 Sep;96(9):6022-9.

Morota G, Koyama M, Rosa GJ, Weigel KA, Gianola D. Predicting complex traits using a diffusion kernel on genetic markers with an application to dairy cattle and wheat data. Genet Sel Evol. 2013 Jun 13;45:17.

Pérez-Rodríguez P, Gianola D, Weigel KA, Rosa GJ, Crossa J. Technical note: An R package for fitting Bayesian regularized neural networks with applications in animal breeding. J Anim Sci. 2013 Aug;91(8):3522-31.

Valente BD, Rosa GJ, Gianola D, Wu XL, Weigel K. Is structural equation modeling advantageous for the genetic improvement of multiple traits? Genetics. 2013 Jul;194(3):561-72.

Boligon AA, Long N, Albuquerque LG, Weigel KA, Gianola D, Rosa GJ. Comparison of selective genotyping strategies for prediction of breeding values in a population undergoing selection. J Anim Sci. 2012 Dec;90(13):4716-22.

Peñagaricano F, Weigel KA, Rosa GJ, Khatib H. Inferring quantitative trait pathways associated with bull fertility from a genome-wide association study. Front Genet. 2013 Jan 11;3:307.

Rosa GJ, Valente BD. Breeding and Genetics Symposium: inferring causal effects from observational data in livestock. J Anim Sci. 2013 Feb;91(2):553-64.

Iager AE, Kocabas AM, Otu HH, Ruppel P, Langerveld A, Schnarr P, Suarez M, Jarrett JC, Conaghan J, Rosa GJ, Fernández E, Rawlins RG, Cibelli JB, Crosby JA. Identification of a novel gene set in human cumulus cells predictive of an oocyte's pregnancy potential. Fertil Steril. 2013 Mar 1;99(3):745-752.e6.

Morota G, Valente BD, Rosa GJ, Weigel KA, Gianola D. An assessment of linkage disequilibrium in Holstein cattle using a Bayesian network. J Anim Breed Genet.2012 Dec;129(6):474-87.

Vazquez AI, de los Campos G, Klimentidis YC, Rosa GJ, Gianola D, Yi N, Allison DB. A comprehensive genetic approach for improving prediction of skin cancer risk in humans. Genetics. 2012 Dec;192(4):1493-502.

Caetano SL, Rosa GJ, Savegnago RP, Ramos SB, Bezerra LA, Lôbo RB, de Paz CC, Munari DP. Characterization of the variable cow's age at last calving as a measurement of longevity by using the Kaplan-Meier estimator and the Cox model. Animal. 2013 Apr;7(4):540-6.

Wu XL, Sun C, Beissinger TM, Rosa GJ, Weigel KA, Gatti Nde L, Gianola D.Parallel Markov chain Monte Carlo - bridging the gap to high-performance Bayesian computation in animal breeding and genetics. Genet Sel Evol. 2012 Sep 25;44:29.

Sun C, Wu XL, Weigel KA, Rosa GJ, Bauck S, Woodward BW, Schnabel RD, Taylor JF, Gianola D. An ensemble-based approach to imputation of moderate-density genotypes for genomic selection with application to Angus cattle. Genet Res (Camb). 2012 Jun;94(3):133-50.

Gianola D, Rosa GJ, Allison DB. Humble Thanks to a Gentle Giant (an Obituary or James F. Crow). Front Genet. 2012 Jun 4;3:93.

Pantoja JC, Rosa GJ, Reinemann DJ, Ruegg PL. Sampling strategies for total bacterial count of unpasteurized bulk milk. J Dairy Sci. 2012 May;95(5):2326-35.

Bignardi AB, El Faro L, Rosa GJ, Cardoso VL, Machado PF, Albuquerque LG. Short communication: Principal components and factor analytic models for test-day milk yield in Brazilian Holstein cattle. J Dairy Sci. 2012 Apr;95(4):2157-64.

Pérez-Cabal MA, Vazquez AI, Gianola D, Rosa GJ, Weigel KA. Accuracy of Genome-Enabled Prediction in a Dairy Cattle Population using Different Cross-Validation Layouts. Front Genet. 2012 Feb 28;3:27.

Vazquez AI, Perez-Cabal MA, Heringstad B, Rodrigues-Motta M, Rosa GJ, Gianola D, Weigel KA. Predictive ability of alternative models for genetic analysis of clinical mastitis. J Anim Breed Genet. 2012 Apr;129(2):120-8.

Rosa GJ. Grand challenge in livestock genomics: for food, for medicine, for the environment, for knowledge. Front Genet. 2011 Jul 11;2:34.

Wu XL, Beissinger TM, Bauck S, Woodward B, Rosa GJ, Weigel KA, Gatti Nde L, Gianola D. A primer on high-throughput computing for genomic selection. Front Genet. 2011 Feb 24;2:4.

Silva FF, Tunin KP, Rosa GJ, da Silva MV, Azevedo AL, da Silva Verneque R, Machado MA, Packer IU. Zero-inflated Poisson regression models for QTL mapping applied to tick-resistance in a Gyr × Holstein F2 population. Genet Mol Biol. 2011 Oct;34(4):575-81.

Valente BD, Rosa GJ, Silva MA, Teixeira RB, Torres RA. Searching for phenotypic causal networks involving complex traits: an application to European quail. Genet Sel Evol. 2011 Nov 2;43:37.

Gianola D, Okut H, Weigel KA, Rosa GJ. Predicting complex quantitative traits with Bayesian neural networks: a case study with Jersey cows and wheat. BMC Genet. 2011 Oct 7;12:87.

Long N, Gianola D, Rosa GJ, Weigel KA. Dimension reduction and variable selection for genomic selection: application to predicting milk yield in Holsteins. J Anim Breed Genet. 2011 Aug;128(4):247-57.

Long N, Gianola D, Rosa GJ, Weigel KA. Application of support vector regression to genome-assisted prediction of quantitative traits. Theor Appl Genet. 2011 Nov;123(7):1065-74.

Long N, Gianola D, Rosa GJ, Weigel KA. Marker-assisted prediction of non-additive genetic values. Genetica. 2011 Jul;139(7):843-54.

Long N, Gianola D, Rosa GJ, Weigel KA. Long-term impacts of genome-enabled selection. J Appl Genet. 2011 Nov;52(4):467-80.

Okut H, Gianola D, Rosa GJ, Weigel KA. Prediction of body mass index in mice using dense molecular markers and a regularized neural network. Genet Res (Camb). 2011 Jun;93(3):189-201.

Steibel JP, Bates RO, Rosa GJ, Tempelman RJ, Rilington VD, Ragavendran A, Raney NE, Ramos AM, Cardoso FF, Edwards DB, Ernst CW. Genome-wide linkage analysis of global gene expression in loin muscle tissue identifies candidate genes in pigs. PLoS One. 2011 Feb 8;6(2):e16766.

Rosa GJ, Valente BD, de los Campos G, Wu XL, Gianola D, Silva MA. Inferring causal phenotype networks using structural equation models. Genet Sel Evol. 2011 Feb 10;43:6.

Vazquez AI, Rosa GJ, Weigel KA, de los Campos G, Gianola D, Allison DB. Predictive ability of subsets of single nucleotide polymorphisms with and without parent average in US Holsteins. J Dairy Sci. 2010 Dec;93(12):5942-9.

Weigel KA, de Los Campos G, Vazquez AI, Rosa GJ, Gianola D, Van Tassell CP. Accuracy of direct genomic values derived from imputed single nucleotide polymorphism genotypes in Jersey cattle. J Dairy Sci. 2010 Nov;93(11):5423-35.

De los Campos G, Gianola D, Rosa GJ, Weigel KA, Crossa J. Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods. Genet Res (Camb). 2010 Aug;92(4):295-308.

González-Recio O, Weigel KA, Gianola D, Naya H, Rosa GJ. L2-Boosting algorithm applied to high-dimensional problems in genomic selection. Genet Res (Camb). 2010 Jun;92(3):227-37.

Long N, Gianola D, Rosa GJ, Weigel KA, Kranis A, González-Recio O. Radial basis function regression methods for predicting quantitative traits using SNP markers. Genet Res (Camb). 2010 Jun;92(3):209-25.

Van Melis MH, Eler JP, Rosa GJ, Ferraz JB, Figueiredo LG, Mattos EC, Oliveira HN. Additive genetic relationships between scrotal circumference, heifer pregnancy, and stayability in Nellore cattle. J Anim Sci. 2010

Huang W, Kirkpatrick BW, Rosa GJ, Khatib H. A genome-wide association study using selective DNA pooling identifies candidate markers for fertility in Holstein cattle. Anim Genet. 2010 Dec;41(6):570-8.

Valente BD, Rosa GJ, de Los Campos G, Gianola D, Silva MA. Searching for recursive causal structures in multivariate quantitative genetics mixed models. Genetics. 2010 Jun;185(2):633-44.

Zaitoun I, Downs KM, Rosa GJ, Khatib H. Upregulation of imprinted genes in mice: an insight into the intensity of gene expression and the evolution of genomic imprinting. Epigenetics. 2010 Feb 16;5(2):149-58. Epub 2010 Mar 1.


Association of the progesterone receptor with fertility
Publication date: 2014-02-11 Patent application number: US 12/946,865

Identification of genes or polypeptides the expression of which correlates to fertility, ovarian function and/or fetal/newborn viability Publication date: 2007-10-11 Patent application number: US20070238111 A1

For the identification of "pregnancy competent" oocytes; identifying female subjects, preferably human females having impaired fertility function; evaluating the efficacy of a putative fertility treatment
Publication date: 2006-02-02 Patent application number: US20060024693 A1