Past Faculty - Gustavo de los Campos, Ph.D.

Gustavo de los Campos, Ph.D. Department of Biostatistics
Ryals Public Health Bldg
University of Alabama at Birmingham
Birmingham, AL 35294
Full CV
Current Location

My interest centers on statistical learning methods with emphasis on applications in quantitative genetics. I have an Agronomy degree from Universidad de la República-Uruguay, as well as two MS degrees (Statistics and Animal Sciences) and a joint doctoral degree (Animal Sciences and Agricultural & Applied Economics) from the University of Wisconsin-Madison. My current research focuses on the use of dense molecular markers and pedigrees for prediction of genetic values in plants (Wheat and Maize) and animals (Dairy Cattle and Broilers) and on the use of such markers to predict likelihood of diseases in humans.


  • 2014
  • 2013
  • 2012
  • 2011
  • 2010
  • 2009
  • pre 2009
  1. Perez-Rodriguez, Paulino and Gustavo de los Campos. Genome-wide Regression & Prediction with the BGLR statistical package. Genetics (published online ahead of print (Genetics, pii: genetics.114.164442. [PMID: 25009151]
  2. Klimentidis, Yann, C., Nathan E. Wineinger, Ana I. Vazquez and Gustavo de los Campos. Multiple metabolic genetic risk scores and type 2 diabetes risk in three racial/ethnic groups (published online June 06, 2014) [doi: 10.1210/jc.2014-1818]
  3. de los Campos, Gustavo and Daniel A. Sorensen. On the genomic analysis of data from structured populations (Editorial). Journal of Animal Breeding and Genetics, 131(3): 163-164. [doi: 10.1111/jbg.12091]
  1. de los Campos, Gustavo, and Daniel A. Sorensen. A Commentary on Pitfalls of Predicting Complex Traits from SNPs. Nature Reviews Genetics 14 (12): 894–894. [doi:10.1038/nrg3457-c1] [PMID: 24240514]
  2. Jarquín, Diego, Crossa, José, Lacaze, Xavier, Cheyron, Philippe, Daucourt, Joëlle, Lorgeou, Josiane, Piraux, Piraux, Guerreiro, Laurent, Pérez, Paulino, Calus, Mario, Burgueño, Juan, de los Campos, Gustavo. A reaction norm model for genomic selection using high-dimensional genomic and environmental data. Theor. Appl. Genet.: 1–13. [doi:10.1007/s00122-013-2243-1] [PMID: 24337101] [PMCID: PMC3931944]
  3. de los Campos, Gustavo, Ana I. Vazquez, Rohan Fernando, Yann C. Klimentidis, and Daniel Sorensen. 2013. Prediction of Complex Human Traits Using the Genomic Best Linear Unbiased Predictor. Edited by Michael E. Goddard. PLoS Genetics 9 (7) (July 11): e1003608. [doi:10.1371/journal.pgen.1003608] [PMID: 23874214] [PMCID: PMC3815055]
  4. de los Campos, Gustavo, Paulino Pérez, Ana I. Vazquez, and José Crossa. 2013. Genome-Enabled Prediction Using the BLR (Bayesian Linear Regression) R-Package. In Genome-Wide Association Studies and Genomic Prediction, edited by Cedric Gondro, Julius van der Werf, and Ben Hayes, 299–320. Methods in Molecular Biology 1019. Humana Press. [PMID:23756896]
  5. de los Campos, Gustavo, John M. Hickey, Ricardo Pong-Wong, Hans D. Daetwyler, and Mario P. L. Calus. 2012. Whole Genome Regression and Prediction Methods Applied to Plant and Animal Breeding. Genetics 2: 327-345.[doi:10.1534/genetics.112.143313] [PMID: 22745228] [PMCID: PMC3567727 ]        
  6. Klimentidis, Yann C., Ana I. Vazquez, Gustavo de los Campos, David B. Allison, Mark Dransfield, and Victor J. Thannickal. 2013. Heritability of Pulmonary Function Estimated from Pedigree and Whole-genome Markers. Frontiers in Genetics 4: 174. [doi: 10.3389/fgene.2013.00174] [PMID:24058366] [PMCID: PMC3766834]
  7. Robertson Henry, T., Gustavo de los Campos and David B. Allison. Turning the analysis of obesity–mortality associations upside down: Modeling years of life lost through conditional distributions. Obesity 21 (2): 398-404. [ doi: 10.1002/oby.20019 ] [PMCID: PMC3610864]
  8. Crossa, J., Y. Beyene, S. Kassa, P. Pérez, J.M. Hickey, C. Chen, G. de los Campos, et al. 2013. Genomic Prediction in Maize Breeding Populations with Genotyping-by-sequencing. G3: GENES, GENOMES, GENETICS 3(11):1903-1926 [doi: 10.1534/g3.113.008227] [PMID:24022750] [PMCID: PMC3815055]
  9. Daetwyler, Hans, Mario P.L. Calus, Ricardo Pong-Wong, Gustavo de los Campos and John M. Hickey . Genomic Prediction in Animals and Plants: Simulation of Data, Validation, Reporting, and Benchmarking. Genetics. 2013 Feb;193(2):347-65. [doi:10.1534/genetics.112.147983] [PMID: 23222650] [PMCID: PMC3567728]
  1. Vazquez, Ana I, Gustavo de los Campos, Yann C Klimentidis, Guilherme J M Rosa, Daniel Gianola, Nengjun Yi, and David B Allison. 2012. “A Comprehensive Genetic Approach for Improving Prediction of Skin Cancer Risk in Humans.” Genetics (October 10). [ doi:10.1534/genetics.112.141705 ]. [PMID: 23051645] [PMCID: PMC3512154]
  2. de los Campos, Gustavo, Yann C. Klimentidis, Ana I. Vazquez, and David B. Allison. Prediction of Expected Years of Life Using Whole-Genome Markers PLoS ONE (7) (July 25): e40964. [doi:10.1371/journal.pone.0040964] [PMID: 22848416][PMCID:PMC3405107]
  3. Janss, L., de los Campos, G., Sheehan, N. and Sorensen, D. Inferences from Genomic Models in Stratified Populations. Genetics [doi: 10.1534/genetics.112.141143] [PMID:22813891] [PMCID: PMC3454890]
  4. Pérez, Paulino, Gustavo de los Campos, Susan Dreisigacker, Hector Sanchez-Villeda, and José Crossa. 2012. “Application of Bayesian Elastic Net and Other Shrinkage Methods in Genomic Selection Adn QTL Mapping.” Journal of the Indian Society of Agricultural Statistics 66 (3): 413–426.
  5. González-Camacho J. M., de los Campos G., Pérez P., Gianola D., Cairns J. E., Mahuku G., Babu R. and Crossa J. Genome-enabled prediction of genetic values using radial basis function neural networks. Theoretical & Applied Genetics [doi:10.1007/s00122-012-1876-9] [PMID:22566067] [PMCID: PMC3405257].
  6. Hickey, J.M., Crossa, J., Babu, R. and de los Campos, G.. Factors Affecting the Accuracy of Genotype Imputation in Populations from Several Maize Breeding Programs. [doi: 10.2135/cropsci2011.07.0358] Crop Sci 52 654-663
  1. Juan Burgueño, Gustavo de los Campos, Kent Weigel, and José Crossa. Genomic Prediction of Breeding Values when Modeling Genotype × Environment Interaction using Pedigree and Dense Molecular Markers. [doi: 10.2135/cropsci2011.06.0299] Published online 8 Dec. 2011
  2. Fonseca Silva, F., Rosa, G.J.M., Guimarães, S.E.F., Lopes, P.S. and de los Campos, G. Three-step Bayesian factor analysis applied to QTL detection in crosses between outbred pig populations. Livestock Science 142:210-215 [doi: 10.1016/j.livsci.2011.07.012]
  3. Makowsky, R., Pajewski, N.M., Klimentidis, Y.C., Vazquez, A.I., Duarte, C.W., Allison, D.B. and de los Campos, G. Beyond Missing Heritability: Prediction of Complex Traits. PLoS GENETICS 7(4):e1002051 [PMID: 21552331] [PMCID: PMC3084207]
  4. Rosa, Guilherme, J.M., Valente B.D., de los Campos, G., Wu X.L., Gianola, D. and Silva M.A. Inferring causal phenotype networks using structural equation models. Genetics Selection Evoultion 43:6. [PMID 21310061] [PMCID PMC3056759]
  1. de los Campos, G., Gianola, D. and Allison, D.B. Predicting genetic predisposition in humans: the promise of whole-genome markers. Nature Reviews Genetics Nature Reviews Genetics. 11(12):880-6. [doi:10.1038/nrg2898] [PMID: 21045869]
  2. de los Campos, G., Gianola, D., Rosa, G.J.M., Weigel, K.A. and Crossa, J. Semi-parametric genomic-enabled prediction of genetic values using reproducing kernel Hilbert spaces methods. Genetics Research, 92:295-308. [doi: 10.1017/S0016672310000285] [PMID:20943010]
  3. Crossa, J., de los Campos, G., Pérez, P., Gianola, D., Burgueño, J., Araus, J.L., Makumbi, D., Singh, R., Dreisigacker, S., Yan, J., Arief, V., Banziger, M., and Braun, H.J. Prediction of Genetic Values of Quantitative Traits in Plant Breeding Using Pedigree and Molecular Markers. Genetics, 186: 713-724. [doi:10.1534/genetics.110.118521] [PMID: 20813882] [PMCID:PMC2954475]
  4. Pérez, P., de los Campos, G., Crossa, J. and Gianola, D. Genomic-enabled prediction based on molecular markers and pedigree using the BLR package in R. The Plant Genome, 3:106-116. [doi: 10.3835/plantgenome2010.04.0005] [PMID:21566722] [PMCID: PMC3091623]
  5. Weigel, K.A., de los Campos, G., Vazquez, A.I., Rosa, G.J.M., Gianola, D., Van Tassell, C.P. Accuracy of direct genomic values derived from imputed single nucleotide polymorphism genotypes in Jersey cattle. Journal of Dairy Science 93: 5423-5435 [doi:10.3168/jds.2010-3149] [PMID: 20965358]
  6. Vazquez, A.I., Rosa, G. J. M., Weigel, K.A., de los Campos, G., Gianola, D. and Allison, D.B. Predictive ability of subsets of single nucleotide polymorphisms with and without parent average in US Holsteins. Journal of Dairy Science 93(12):5942-9. [doi: 10.3168/jds.2010-3335] [PMID: 21094768] [PMCID:PMC3207239]
  7. Valente B.D., G.J.M. Rosa, G. de los Campos, D. Gianola, and M.A. Silva. Searching for Recursive Causal Structures in Multivariate Quantitative Genetics Mixed Models. Genetics, 185:633-644. [doi:10.1534/genetics.109.112979] [PMID: 20351220] [PMCID: PMC2881143]
  8. Cecchinato A., G. de los Campos, D. Gianola, L. Gallo and P. Carnier. The relevance of purebred information for predicting genetic merit of survival at birth of crossbred piglets. Journal of animal Science, 88: 481-490. [doi:10.2527/jas.2008-1744] [PMID: 19897636]
  9. Lopez de Maturana E., G. de los Campos, X. L. Wu, D. Gianola, K. A. Weigel and G. J. M. Rosa. Modeling Relationships between Calving Traits: a Comparison between Standard and Recursive Mixed Models. Genetics Selection Evolution. 2010; 42(1): 1. [doi: 10.1186/1297-9686-42-1] [PMID: 20100345] [PMCID: PMC2830933]
  1. de los Campos G., H. Naya, D. Gianola, J. Crossa, A. Legarra, E. Manfredi, and J. M. Cotes. Predicting quantitative traits with regression models for dense molecular markers and pedigree. Genetics, 182: 375-385. [doi:10.1534/genetics.109.101501] [PMID: 19293140] [PMCID:PMC2674834]
  2. de los Campos G., D. Gianola, and G. J. M. Rosa. Reproducing kernel Hilbert spaces regression: A general framework for genetic evaluation. Journal of Animal Science, 87: 1883-1887. [doi:10.2527/jas.2008-1259] [PMID: 19213705]
  3. Gianola D., G. de los Campos, W. G. Hill, E. Manfredi and R. Fernando. Additive genetic variability and the Bayesian alphabet. Genetics, 183: 347-363. [doi: 10.1534/genetics.109.103952] [PMID: 19620397] [PMCID: PMC2746159]
  4. Weigel K. A., G. de los Campos, O. González-Recio, H. Naya, X. L. Wu, N. Long, G. J. M. Rosa, and D. Gianola. Predictive ability of direct genomic values for Lifetime Net Merit of Holstein sires using selected subsets of single nucleotide polymorphism markers. Journal of Dairy Science, 92: 5239-5247. [doi:10.3168/jds.2009-2092] [PMID: 19762843]
  5. Forni S., D. Gianola, G. J. M. Rosa and G. de los Campos. A dynamic linear model for genetic analysis of longitudinal traits. Journal of Animal Science, (forthcoming). [doi: 10.2527/jas.2008-1514] [PMID: 19684262]
  6. Pérez-Cabal M. A., G. de los Campos, A. I. Vazquez, D. Gianola, G. J. M. Rosa, K. A. Weigel, and R. Alenda. Genetic evaluation of susceptibility to clinical mastitis in Spanish Holstein cows. Journal of Dairy Science, 92: 3472-3480. . [doi: 10.3168/jds.2008-1978] [PMID: 19528625]
  1. Gianola D. and G. de los Campos. Inferring genetic values for quantitative traits non-parametrically. Genetics Research, 90: 525-540. [doi:10.1017/S0016672308009890] [PMID: 19123970]
  2. de los Campos G. and D. Gianola. Factor analysis models for structuring covariance matrices of additive genetic effects: A Bayesian implementation. Genetics Selection Evolution, 39: 481-494 [PMID: 17897592] [PMCID: PMC2682801]
  3. Wu X. L., B. Heringstad, Y. M. Chang, G. de los Campos and D. Gianola. Inferring relationships between somatic cell score and milk yield using simultaneous and recursive models. Journal of Dairy Science, 90: 3508-3521. [PMID: 17582135]
  4. de los Campos G., D. Gianola, P. Boettcher, and P. A. Moroni. A structural equation model for describing relationships between somatic cell score and milk yield in dairy goats. Journal of Animal Science, 84: 2934-2941. [PMID: 17032786]
  5. de los Campos G., D. Gianola and B. Heringstad. A structural equation model for describing relationships between somatic cell score and milk yield in first-lactation dairy cows. Journal of Dairy Science, 89: 4445-4455. [PMID: 17033034]


Years: 2010 - 2011 (Postdoctoral Fellow)
Mentor(s): David B. Allison, Ph.D.
Current Position: Associate Professor, Department of Biostatistics, Section on Statistical Genetics, The University of Alabama at Birmingham
Associate Editor: Genetics Selection Evolution, Frontiers in Genetics