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Items: 1 to 50 of 74

1.

Changes in milk characteristics and fatty acid profile during the estrous cycle in dairy cows.

Toledo-Alvarado H, Vazquez AI, de Los Campos G, Tempelman RJ, Gabai G, Cecchinato A, Bittante G.

J Dairy Sci. 2018 Jul 25. pii: S0022-0302(18)30674-X. doi: 10.3168/jds.2018-14480. [Epub ahead of print]

PMID:
30055916
2.

Correction to: Bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture.

Montesinos-López A, Montesinos-López OA, de Los Campos G, Crossa J, Burgueño J, Luna-Vazquez FJ.

Plant Methods. 2018 Jul 9;14:57. doi: 10.1186/s13007-018-0321-8. eCollection 2018.

3.

Bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture.

Montesinos-López A, Montesinos-López OA, de Los Campos G, Crossa J, Burgueño J, Luna-Vazquez FJ.

Plant Methods. 2018 Jun 11;14:46. doi: 10.1186/s13007-018-0314-7. eCollection 2018. Erratum in: Plant Methods. 2018 Jul 9;14:57.

4.

Genomic Selection for Late Blight and Common Scab Resistance in Tetraploid Potato (Solanum tuberosum).

Enciso-Rodriguez F, Douches D, Lopez-Cruz M, Coombs J, de Los Campos G.

G3 (Bethesda). 2018 Jul 2;8(7):2471-2481. doi: 10.1534/g3.118.200273.

5.

Diagnosing pregnancy status using infrared spectra and milk composition in dairy cows.

Toledo-Alvarado H, Vazquez AI, de Los Campos G, Tempelman RJ, Bittante G, Cecchinato A.

J Dairy Sci. 2018 Mar;101(3):2496-2505. doi: 10.3168/jds.2017-13647. Epub 2017 Dec 28.

PMID:
29290427
6.

Can we make genomic selection 100% accurate?

de Los Campos G, Toro MÁ.

J Anim Breed Genet. 2017 Dec;134(6):437. doi: 10.1111/jbg.12306. No abstract available.

PMID:
29164760
7.

Genomic Selection in Plant Breeding: Methods, Models, and Perspectives.

Crossa J, Pérez-Rodríguez P, Cuevas J, Montesinos-López O, Jarquín D, de Los Campos G, Burgueño J, González-Camacho JM, Pérez-Elizalde S, Beyene Y, Dreisigacker S, Singh R, Zhang X, Gowda M, Roorkiwal M, Rutkoski J, Varshney RK.

Trends Plant Sci. 2017 Nov;22(11):961-975. doi: 10.1016/j.tplants.2017.08.011. Epub 2017 Sep 28. Review.

PMID:
28965742
8.

Will Big Data Close the Missing Heritability Gap?

Kim H, Grueneberg A, Vazquez AI, Hsu S, de Los Campos G.

Genetics. 2017 Nov;207(3):1135-1145. doi: 10.1534/genetics.117.300271. Epub 2017 Sep 11.

9.

Genomic variance estimates: With or without disequilibrium covariances?

Lehermeier C, de Los Campos G, Wimmer V, Schön CC.

J Anim Breed Genet. 2017 Jun;134(3):232-241. doi: 10.1111/jbg.12268.

PMID:
28508483
10.

Genomic models with genotype × environment interaction for predicting hybrid performance: an application in maize hybrids.

Acosta-Pech R, Crossa J, de Los Campos G, Teyssèdre S, Claustres B, Pérez-Elizalde S, Pérez-Rodríguez P.

Theor Appl Genet. 2017 Jul;130(7):1431-1440. doi: 10.1007/s00122-017-2898-0. Epub 2017 Apr 11.

PMID:
28401254
11.

Prediction of years of life after diagnosis of breast cancer using omics and omic-by-treatment interactions.

González-Reymúndez A, de Los Campos G, Gutiérrez L, Lunt SY, Vazquez AI.

Eur J Hum Genet. 2017 May;25(5):538-544. doi: 10.1038/ejhg.2017.12. Epub 2017 Mar 8.

12.

Daniel Gianola's contributions to animal breeding and quantitative genetics, a vuelo de pájaro.

Sorensen D, de Los Campos G.

J Anim Breed Genet. 2017 Jun;134(3):175-177. doi: 10.1111/jbg.12254. Epub 2017 Jan 29. No abstract available.

PMID:
28133826
13.

Use of genotype × environment interaction model to accommodate genetic heterogeneity for residual feed intake, dry matter intake, net energy in milk, and metabolic body weight in dairy cattle.

Yao C, de Los Campos G, VandeHaar MJ, Spurlock DM, Armentano LE, Coffey M, de Haas Y, Veerkamp RF, Staples CR, Connor EE, Wang Z, Hanigan MD, Tempelman RJ, Weigel KA.

J Dairy Sci. 2017 Mar;100(3):2007-2016. doi: 10.3168/jds.2016-11606. Epub 2017 Jan 18.

PMID:
28109605
14.

Genotype by environment (climate) interaction improves genomic prediction for production traits in US Holstein cattle.

Tiezzi F, de Los Campos G, Parker Gaddis KL, Maltecca C.

J Dairy Sci. 2017 Mar;100(3):2042-2056. doi: 10.3168/jds.2016-11543. Epub 2017 Jan 18.

PMID:
28109596
15.

Heat Maps of Hypertension, Diabetes Mellitus, and Smoking in the Continental United States.

Loop MS, Howard G, de Los Campos G, Al-Hamdan MZ, Safford MM, Levitan EB, McClure LA.

Circ Cardiovasc Qual Outcomes. 2017 Jan;10(1). pii: e003350. doi: 10.1161/CIRCOUTCOMES.116.003350.

16.

Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data.

Montesinos-López OA, Montesinos-López A, Crossa J, de Los Campos G, Alvarado G, Suchismita M, Rutkoski J, González-Pérez L, Burgueño J.

Plant Methods. 2017 Jan 3;13:4. doi: 10.1186/s13007-016-0154-2. eCollection 2017.

17.

Evaluating Sequence-Based Genomic Prediction with an Efficient New Simulator.

Pérez-Enciso M, Forneris N, de Los Campos G, Legarra A.

Genetics. 2017 Feb;205(2):939-953. doi: 10.1534/genetics.116.194878. Epub 2016 Dec 2.

18.

Bayesian Genomic Prediction with Genotype × Environment Interaction Kernel Models.

Cuevas J, Crossa J, Montesinos-López OA, Burgueño J, Pérez-Rodríguez P, de Los Campos G.

G3 (Bethesda). 2017 Jan 5;7(1):41-53. doi: 10.1534/g3.116.035584.

19.

The 'heritability' of domestication and its functional partitioning in the pig.

Pérez-Enciso M, de Los Campos G, Hudson N, Kijas J, Reverter A.

Heredity (Edinb). 2017 Feb;118(2):160-168. doi: 10.1038/hdy.2016.78. Epub 2016 Sep 21.

20.

Genome-wide association study reveals putative regulators of bioenergy traits in Populus deltoides.

Fahrenkrog AM, Neves LG, Resende MF Jr, Vazquez AI, de Los Campos G, Dervinis C, Sykes R, Davis M, Davenport R, Barbazuk WB, Kirst M.

New Phytol. 2017 Jan;213(2):799-811. doi: 10.1111/nph.14154. Epub 2016 Sep 6.

21.

Increased Proportion of Variance Explained and Prediction Accuracy of Survival of Breast Cancer Patients with Use of Whole-Genome Multiomic Profiles.

Vazquez AI, Veturi Y, Behring M, Shrestha S, Kirst M, Resende MF Jr, de Los Campos G.

Genetics. 2016 Jul;203(3):1425-38. doi: 10.1534/genetics.115.185181. Epub 2016 Apr 29.

22.

Modelling heterogeneity among fitness functions using random regression.

Reynolds RJ, de Los Campos G, Egan SP, Ott JR.

Methods Ecol Evol. 2016 Jan;7(1):70-79. Epub 2015 Aug 11. No abstract available.

23.
24.

Incorporating Genetic Heterogeneity in Whole-Genome Regressions Using Interactions.

de Los Campos G, Veturi Y, Vazquez AI, Lehermeier C, Pérez-Rodríguez P.

J Agric Biol Environ Stat. 2015;20(4):467-490. Epub 2015 Nov 9.

25.

A Scale-Corrected Comparison of Linkage Disequilibrium Levels between Genic and Non-Genic Regions.

Berger S, Schlather M, de los Campos G, Weigend S, Preisinger R, Erbe M, Simianer H.

PLoS One. 2015 Oct 30;10(10):e0141216. doi: 10.1371/journal.pone.0141216. eCollection 2015.

26.

Bayesian regression models outperform partial least squares methods for predicting milk components and technological properties using infrared spectral data.

Ferragina A, de los Campos G, Vazquez AI, Cecchinato A, Bittante G.

J Dairy Sci. 2015 Nov;98(11):8133-51. doi: 10.3168/jds.2014-9143. Epub 2015 Sep 18.

27.

Genetic Control of Environmental Variation of Two Quantitative Traits of Drosophila melanogaster Revealed by Whole-Genome Sequencing.

Sørensen P, de los Campos G, Morgante F, Mackay TF, Sorensen D.

Genetics. 2015 Oct;201(2):487-97. doi: 10.1534/genetics.115.180273. Epub 2015 Aug 12.

28.

Do Molecular Markers Inform About Pleiotropy?

Gianola D, de los Campos G, Toro MA, Naya H, Schön CC, Sorensen D.

Genetics. 2015 Sep;201(1):23-9. doi: 10.1534/genetics.115.179978. Epub 2015 Jul 23.

29.

Assessment of Genetic Heterogeneity in Structured Plant Populations Using Multivariate Whole-Genome Regression Models.

Lehermeier C, Schön CC, de Los Campos G.

Genetics. 2015 Sep;201(1):323-37. doi: 10.1534/genetics.115.177394. Epub 2015 Jun 29.

30.

Genomic heritability: what is it?

de Los Campos G, Sorensen D, Gianola D.

PLoS Genet. 2015 May 5;11(5):e1005048. doi: 10.1371/journal.pgen.1005048. eCollection 2015 May.

31.

Increased prediction accuracy in wheat breeding trials using a marker × environment interaction genomic selection model.

Lopez-Cruz M, Crossa J, Bonnett D, Dreisigacker S, Poland J, Jannink JL, Singh RP, Autrique E, de los Campos G.

G3 (Bethesda). 2015 Feb 6;5(4):569-82. doi: 10.1534/g3.114.016097.

32.

Effectiveness of shrinkage and variable selection methods for the prediction of complex human traits using data from distantly related individuals.

Berger S, Pérez-Rodríguez P, Veturi Y, Simianer H, de los Campos G.

Ann Hum Genet. 2015 Mar;79(2):122-35. doi: 10.1111/ahg.12099. Epub 2015 Jan 20. Erratum in: Ann Hum Genet. 2018 Mar;82(2):127.

33.

Threshold models for genome-enabled prediction of ordinal categorical traits in plant breeding.

Montesinos-López OA, Montesinos-López A, Pérez-Rodríguez P, de Los Campos G, Eskridge K, Crossa J.

G3 (Bethesda). 2014 Dec 23;5(2):291-300. doi: 10.1534/g3.114.016188.

34.

Estimating proportions of explained variance: a comparison of whole genome subsets.

Aslibekyan S, Wiener HW, Wu G, Zhi D, Shrestha S, de Los Campos G, Vazquez AI.

BMC Proc. 2014 Jun 17;8(Suppl 1 Genetic Analysis Workshop 18Vanessa Olmo):S102. doi: 10.1186/1753-6561-8-S1-S102. eCollection 2014.

35.

Unraveling additive from nonadditive effects using genomic relationship matrices.

Muñoz PR, Resende MF Jr, Gezan SA, Resende MD, de Los Campos G, Kirst M, Huber D, Peter GF.

Genetics. 2014 Dec;198(4):1759-68. doi: 10.1534/genetics.114.171322. Epub 2014 Oct 15.

36.

Genome-wide regression and prediction with the BGLR statistical package.

Pérez P, de los Campos G.

Genetics. 2014 Oct;198(2):483-95. doi: 10.1534/genetics.114.164442. Epub 2014 Jul 9.

37.

Obesity and mortality: are the risks declining? Evidence from multiple prospective studies in the United States.

Mehta T, Fontaine KR, Keith SW, Bangalore SS, de los Campos G, Bartolucci A, Pajewski NM, Allison DB.

Obes Rev. 2014 Aug;15(8):619-29. doi: 10.1111/obr.12191. Epub 2014 Jun 9. Review.

38.

Multiple metabolic genetic risk scores and type 2 diabetes risk in three racial/ethnic groups.

Klimentidis YC, Wineinger NE, Vazquez AI, de Los Campos G.

J Clin Endocrinol Metab. 2014 Sep;99(9):E1814-8. doi: 10.1210/jc.2014-1818. Epub 2014 Jun 6.

39.

On the genomic analysis of data from structured populations.

de los Campos G, Sorensen D.

J Anim Breed Genet. 2014 Jun;131(3):163-4. doi: 10.1111/jbg.12091. No abstract available.

40.

A reaction norm model for genomic selection using high-dimensional genomic and environmental data.

Jarquín D, Crossa J, Lacaze X, Du Cheyron P, Daucourt J, Lorgeou J, Piraux F, Guerreiro L, Pérez P, Calus M, Burgueño J, de los Campos G.

Theor Appl Genet. 2014 Mar;127(3):595-607. doi: 10.1007/s00122-013-2243-1. Epub 2013 Dec 12.

41.

A commentary on Pitfalls of predicting complex traits from SNPs.

de los Campos G, Sorensen DA.

Nat Rev Genet. 2013 Dec;14(12):894. doi: 10.1038/nrg3457-c1. No abstract available.

42.

Heritability of pulmonary function estimated from pedigree and whole-genome markers.

Klimentidis YC, Vazquez AI, de Los Campos G, Allison DB, Dransfield MT, Thannickal VJ.

Front Genet. 2013 Sep 9;4:174. doi: 10.3389/fgene.2013.00174. eCollection 2013.

43.

Genomic prediction in maize breeding populations with genotyping-by-sequencing.

Crossa J, Beyene Y, Kassa S, Pérez P, Hickey JM, Chen C, de los Campos G, Burgueño J, Windhausen VS, Buckler E, Jannink JL, Lopez Cruz MA, Babu R.

G3 (Bethesda). 2013 Nov 6;3(11):1903-26. doi: 10.1534/g3.113.008227.

44.

Prediction of complex human traits using the genomic best linear unbiased predictor.

de Los Campos G, Vazquez AI, Fernando R, Klimentidis YC, Sorensen D.

PLoS Genet. 2013;9(7):e1003608. doi: 10.1371/journal.pgen.1003608. Epub 2013 Jul 11.

45.

Genome-enabled prediction using the BLR (Bayesian Linear Regression) R-package.

de Los Campos G, Pérez P, Vazquez AI, Crossa J.

Methods Mol Biol. 2013;1019:299-320. doi: 10.1007/978-1-62703-447-0_12. Review.

PMID:
23756896
46.

Turning the analysis of obesity-mortality associations upside down: modeling years of life lost through conditional distributions.

Robertson HT, de los Campos G, Allison DB.

Obesity (Silver Spring). 2013 Feb;21(2):398-404. doi: 10.1002/oby.20019.

47.

Genomic prediction in animals and plants: simulation of data, validation, reporting, and benchmarking.

Daetwyler HD, Calus MP, Pong-Wong R, de Los Campos G, Hickey JM.

Genetics. 2013 Feb;193(2):347-65. doi: 10.1534/genetics.112.147983. Epub 2012 Dec 5. Review.

48.

A comprehensive genetic approach for improving prediction of skin cancer risk in humans.

Vazquez AI, de los Campos G, Klimentidis YC, Rosa GJ, Gianola D, Yi N, Allison DB.

Genetics. 2012 Dec;192(4):1493-502. doi: 10.1534/genetics.112.141705. Epub 2012 Oct 10.

49.

Prediction of expected years of life using whole-genome markers.

de los Campos G, Klimentidis YC, Vazquez AI, Allison DB.

PLoS One. 2012;7(7):e40964. doi: 10.1371/journal.pone.0040964. Epub 2012 Jul 25.

50.

Inferences from genomic models in stratified populations.

Janss L, de Los Campos G, Sheehan N, Sorensen D.

Genetics. 2012 Oct;192(2):693-704. doi: 10.1534/genetics.112.141143. Epub 2012 Jul 18.

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