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Items: 1 to 50 of 193

1.

Variance component estimates for post-thaw sperm variables measured by computer assisted semen analyzer for inbred and non-inbred Hereford bulls.

Tseveenjav B, Blackburn HD, Garrick DJ.

Anim Reprod Sci. 2018 Dec;199:45-50. doi: 10.1016/j.anireprosci.2018.10.005. Epub 2018 Oct 23.

PMID:
30477690
2.

Integration of genome wide association studies and whole genome sequencing provides novel insights into fat deposition in chicken.

Moreira GCM, Boschiero C, Cesar ASM, Reecy JM, Godoy TF, Pértille F, Ledur MC, Moura ASAMT, Garrick DJ, Coutinho LL.

Sci Rep. 2018 Nov 1;8(1):16222. doi: 10.1038/s41598-018-34364-0.

3.

CpG binding protein (CFP1) occupies open chromatin regions of active genes, including enhancers and non-CpG islands.

van de Lagemaat LN, Flenley M, Lynch MD, Garrick D, Tomlinson SR, Kranc KR, Vernimmen D.

Epigenetics Chromatin. 2018 Oct 6;11(1):59. doi: 10.1186/s13072-018-0230-0.

4.

Empirical Comparisons of Different Statistical Models To Identify and Validate Kernel Row Number-Associated Variants from Structured Multi-parent Mapping Populations of Maize.

Yang J, Yeh CE, Ramamurthy RK, Qi X, Fernando RL, Dekkers JCM, Garrick DJ, Nettleton D, Schnable PS.

G3 (Bethesda). 2018 Nov 6;8(11):3567-3575. doi: 10.1534/g3.118.200636.

5.

The paradox of irrigation efficiency.

Grafton RQ, Williams J, Perry CJ, Molle F, Ringler C, Steduto P, Udall B, Wheeler SA, Wang Y, Garrick D, Allen RG.

Science. 2018 Aug 24;361(6404):748-750. doi: 10.1126/science.aat9314. No abstract available.

PMID:
30139857
6.

Identification of putative regulatory regions and transcription factors associated with intramuscular fat content traits.

Cesar ASM, Regitano LCA, Reecy JM, Poleti MD, Oliveira PSN, de Oliveira GB, Moreira GCM, Mudadu MA, Tizioto PC, Koltes JE, Fritz-Waters E, Kramer L, Garrick D, Beiki H, Geistlinger L, Mourão GB, Zerlotini A, Coutinho LL.

BMC Genomics. 2018 Jun 27;19(1):499. doi: 10.1186/s12864-018-4871-y.

7.

Identification of an immune modulation locus utilising a bovine mammary gland infection challenge model.

Littlejohn MD, Turner SA, Walker CG, Berry SD, Tiplady K, Sherlock RG, Sutherland G, Swift S, Garrick D, Lacy-Hulbert SJ, McDougall S, Spelman RJ, Snell RG, Hillerton JE.

J Dairy Res. 2018 May;85(2):185-192. doi: 10.1017/S0022029918000158.

PMID:
29785904
8.

A genome-wide association study reveals novel genomic regions and positional candidate genes for fat deposition in broiler chickens.

Moreira GCM, Boschiero C, Cesar ASM, Reecy JM, Godoy TF, Trevisoli PA, Cantão ME, Ledur MC, Ibelli AMG, Peixoto JO, Moura ASAMT, Garrick D, Coutinho LL.

BMC Genomics. 2018 May 21;19(1):374. doi: 10.1186/s12864-018-4779-6.

9.

A nested mixture model for genomic prediction using whole-genome SNP genotypes.

Zeng J, Garrick D, Dekkers J, Fernando R.

PLoS One. 2018 Mar 21;13(3):e0194683. doi: 10.1371/journal.pone.0194683. eCollection 2018.

10.

Genomic Prediction from Multiple-Trait Bayesian Regression Methods Using Mixture Priors.

Cheng H, Kizilkaya K, Zeng J, Garrick D, Fernando R.

Genetics. 2018 May;209(1):89-103. doi: 10.1534/genetics.118.300650. Epub 2018 Mar 7.

PMID:
29514861
11.

Meta-analysis of genome-wide association studies for cattle stature identifies common genes that regulate body size in mammals.

Bouwman AC, Daetwyler HD, Chamberlain AJ, Ponce CH, Sargolzaei M, Schenkel FS, Sahana G, Govignon-Gion A, Boitard S, Dolezal M, Pausch H, Brøndum RF, Bowman PJ, Thomsen B, Guldbrandtsen B, Lund MS, Servin B, Garrick DJ, Reecy J, Vilkki J, Bagnato A, Wang M, Hoff JL, Schnabel RD, Taylor JF, Vinkhuyzen AAE, Panitz F, Bendixen C, Holm LE, Gredler B, Hozé C, Boussaha M, Sanchez MP, Rocha D, Capitan A, Tribout T, Barbat A, Croiseau P, Drögemüller C, Jagannathan V, Vander Jagt C, Crowley JJ, Bieber A, Purfield DC, Berry DP, Emmerling R, Götz KU, Frischknecht M, Russ I, Sölkner J, Van Tassell CP, Fries R, Stothard P, Veerkamp RF, Boichard D, Goddard ME, Hayes BJ.

Nat Genet. 2018 Mar;50(3):362-367. doi: 10.1038/s41588-018-0056-5. Epub 2018 Feb 19.

PMID:
29459679
12.

Genomic study and Medical Subject Headings enrichment analysis of early pregnancy rate and antral follicle numbers in Nelore heifers.

Júnior GAO, Perez BC, Cole JB, Santana MHA, Silveira J, Mazzoni G, Ventura RV, Júnior MLS, Kadarmideen HN, Garrick DJ, Ferraz JBS.

J Anim Sci. 2017 Nov;95(11):4796-4812. doi: 10.2527/jas2017.1752.

PMID:
29293733
13.

Genetic parameters for carcass and ultrasound traits in Hereford and admixed Simmental beef cattle: Accuracy of evaluating carcass traits.

Su H, Golden B, Hyde L, Sanders S, Garrick D.

J Anim Sci. 2017 Nov;95(11):4718-4727. doi: 10.2527/jas2017.1865.

PMID:
29293732
14.

Highly accurate sequence imputation enables precise QTL mapping in Brown Swiss cattle.

Frischknecht M, Pausch H, Bapst B, Signer-Hasler H, Flury C, Garrick D, Stricker C, Fries R, Gredler-Grandl B.

BMC Genomics. 2017 Dec 29;18(1):999. doi: 10.1186/s12864-017-4390-2.

15.

Familial episodic ataxia in lambs is potentially associated with a mutation in the fibroblast growth factor 14 (FGF14) gene.

Dittmer KE, Jolly RD, Mayhew IG, Ridler AL, Chernyavtseva A, Garrick DJ, Blair HT.

PLoS One. 2017 Dec 18;12(12):e0190030. doi: 10.1371/journal.pone.0190030. eCollection 2017.

16.

Genome-wide association studies of fertility and calving traits in Brown Swiss cattle using imputed whole-genome sequences.

Frischknecht M, Bapst B, Seefried FR, Signer-Hasler H, Garrick D, Stricker C; Intergenomics Consortium, Fries R, Russ I, Sölkner J, Bieber A, Strillacci MG, Gredler-Grandl B, Flury C.

BMC Genomics. 2017 Nov 25;18(1):910. doi: 10.1186/s12864-017-4308-z.

17.

Valuing water for sustainable development.

Garrick DE, Hall JW, Dobson A, Damania R, Grafton RQ, Hope R, Hepburn C, Bark R, Boltz F, De Stefano L, O'Donnell E, Matthews N, Money A.

Science. 2017 Nov 24;358(6366):1003-1005. doi: 10.1126/science.aao4942. No abstract available.

PMID:
29170225
18.

Network Analysis Reveals Putative Genes Affecting Meat Quality in Angus Cattle.

Mateescu RG, Garrick DJ, Reecy JM.

Front Genet. 2017 Nov 6;8:171. doi: 10.3389/fgene.2017.00171. eCollection 2017.

19.

Short communication: Genomic prediction using imputed whole-genome sequence variants in Brown Swiss Cattle.

Frischknecht M, Meuwissen THE, Bapst B, Seefried FR, Flury C, Garrick D, Signer-Hasler H, Stricker C; Intergenomics Consortium, Bieber A, Fries R, Russ I, Sölkner J, Bagnato A, Gredler-Grandl B.

J Dairy Sci. 2018 Feb;101(2):1292-1296. doi: 10.3168/jds.2017-12890. Epub 2017 Nov 15.

PMID:
29153527
20.

Population structure and genomic inbreeding in nine Swiss dairy cattle populations.

Signer-Hasler H, Burren A, Neuditschko M, Frischknecht M, Garrick D, Stricker C, Gredler B, Bapst B, Flury C.

Genet Sel Evol. 2017 Nov 7;49(1):83. doi: 10.1186/s12711-017-0358-6.

21.

Genotype imputation in a tropical crossbred dairy cattle population.

Oliveira Júnior GA, Chud TCS, Ventura RV, Garrick DJ, Cole JB, Munari DP, Ferraz JBS, Mullart E, DeNise S, Smith S, da Silva MVGB.

J Dairy Sci. 2017 Dec;100(12):9623-9634. doi: 10.3168/jds.2017-12732. Epub 2017 Oct 4.

PMID:
28987572
22.

DNA methylation of intragenic CpG islands depends on their transcriptional activity during differentiation and disease.

Jeziorska DM, Murray RJS, De Gobbi M, Gaentzsch R, Garrick D, Ayyub H, Chen T, Li E, Telenius J, Lynch M, Graham B, Smith AJH, Lund JN, Hughes JR, Higgs DR, Tufarelli C.

Proc Natl Acad Sci U S A. 2017 Sep 5;114(36):E7526-E7535. doi: 10.1073/pnas.1703087114. Epub 2017 Aug 21.

23.

Fixed-length haplotypes can improve genomic prediction accuracy in an admixed dairy cattle population.

Hess M, Druet T, Hess A, Garrick D.

Genet Sel Evol. 2017 Jul 3;49(1):54. doi: 10.1186/s12711-017-0329-y.

24.

The Accuracy and Bias of Single-Step Genomic Prediction for Populations Under Selection.

Hsu WL, Garrick DJ, Fernando RL.

G3 (Bethesda). 2017 Aug 7;7(8):2685-2694. doi: 10.1534/g3.117.043596.

25.

Genome-wide association study for feed efficiency and growth traits in U.S. beef cattle.

Seabury CM, Oldeschulte DL, Saatchi M, Beever JE, Decker JE, Halley YA, Bhattarai EK, Molaei M, Freetly HC, Hansen SL, Yampara-Iquise H, Johnson KA, Kerley MS, Kim J, Loy DD, Marques E, Neibergs HL, Schnabel RD, Shike DW, Spangler ML, Weaber RL, Garrick DJ, Taylor JF.

BMC Genomics. 2017 May 18;18(1):386. doi: 10.1186/s12864-017-3754-y.

26.

A comparison of identity-by-descent and identity-by-state matrices that are used for genetic evaluation and estimation of variance components.

Fernando RL, Cheng H, Sun X, Garrick DJ.

J Anim Breed Genet. 2017 Jun;134(3):213-223. doi: 10.1111/jbg.12275.

PMID:
28508481
27.

Efficient strategies for leave-one-out cross validation for genomic best linear unbiased prediction.

Cheng H, Garrick DJ, Fernando RL.

J Anim Sci Biotechnol. 2017 May 2;8:38. doi: 10.1186/s40104-017-0164-6. eCollection 2017.

28.

Single nucleotide variants and InDels identified from whole-genome re-sequencing of Guzerat, Gyr, Girolando and Holstein cattle breeds.

Stafuzza NB, Zerlotini A, Lobo FP, Yamagishi ME, Chud TC, Caetano AR, Munari DP, Garrick DJ, Machado MA, Martins MF, Carvalho MR, Cole JB, Barbosa da Silva MV.

PLoS One. 2017 Mar 21;12(3):e0173954. doi: 10.1371/journal.pone.0173954. eCollection 2017.

29.

Erratum to: A FAS-ligand variant associated with autoimmune lymphoproliferative syndrome in cats.

Aberdein D, Munday JS, Gandolfi B, Dittmer KE, Malik R, Garrick DJ, Lyons LA; 99 Lives Consortium.

Mamm Genome. 2017 Apr;28(3-4):152-154. doi: 10.1007/s00335-016-9676-1. No abstract available.

PMID:
28101633
30.

Comparison of alternative approaches to single-trait genomic prediction using genotyped and non-genotyped Hanwoo beef cattle.

Lee J, Cheng H, Garrick D, Golden B, Dekkers J, Park K, Lee D, Fernando R.

Genet Sel Evol. 2017 Jan 4;49(1):2. doi: 10.1186/s12711-016-0279-9.

31.
32.

Epistatic interactions associated with fatty acid concentrations of beef from angus sired beef cattle.

Kramer LM, Ghaffar MA, Koltes JE, Fritz-Waters ER, Mayes MS, Sewell AD, Weeks NT, Garrick DJ, Fernando RL, Ma L, Reecy JM.

BMC Genomics. 2016 Nov 8;17(1):891.

33.
34.

A FAS-ligand variant associated with autoimmune lymphoproliferative syndrome in cats.

Aberdein D, Munday JS, Gandolfi B, Dittmer KE, Malik R, Garrick DJ, Lyons LA; 99 Lives Consortium.

Mamm Genome. 2017 Feb;28(1-2):47-55. doi: 10.1007/s00335-016-9668-1. Epub 2016 Oct 21. Erratum in: Mamm Genome. 2017 Apr;28(3-4):152-154.

PMID:
27770190
35.

An Upper Bound for Accuracy of Prediction Using GBLUP.

Karaman E, Cheng H, Firat MZ, Garrick DJ, Fernando RL.

PLoS One. 2016 Aug 16;11(8):e0161054. doi: 10.1371/journal.pone.0161054. eCollection 2016.

36.

Deriving Gene Networks from SNP Associated with Triacylglycerol and Phospholipid Fatty Acid Fractions from Ribeyes of Angus Cattle.

Buchanan JW, Reecy JM, Garrick DJ, Duan Q, Beitz DC, Koltes JE, Saatchi M, Koesterke L, Mateescu RG.

Front Genet. 2016 Jun 20;7:116. doi: 10.3389/fgene.2016.00116. eCollection 2016.

37.

Impact of fitting dominance and additive effects on accuracy of genomic prediction of breeding values in layers.

Heidaritabar M, Wolc A, Arango J, Zeng J, Settar P, Fulton JE, O'Sullivan NP, Bastiaansen JW, Fernando RL, Garrick DJ, Dekkers JC.

J Anim Breed Genet. 2016 Oct;133(5):334-46. doi: 10.1111/jbg.12225. Epub 2016 Jun 30.

PMID:
27357473
38.

Age-Associated Decrease of the Histone Methyltransferase SUV39H1 in HSC Perturbs Heterochromatin and B Lymphoid Differentiation.

Djeghloul D, Kuranda K, Kuzniak I, Barbieri D, Naguibneva I, Choisy C, Bories JC, Dosquet C, Pla M, Vanneaux V, Socié G, Porteu F, Garrick D, Goodhardt M.

Stem Cell Reports. 2016 Jun 14;6(6):970-984. doi: 10.1016/j.stemcr.2016.05.007.

39.

Host genetic influence on papillomavirus-induced tumors in the horse.

Staiger EA, Tseng CT, Miller D, Cassano JM, Nasir L, Garrick D, Brooks SA, Antczak DF.

Int J Cancer. 2016 Aug 15;139(4):784-92. doi: 10.1002/ijc.30120. Epub 2016 May 6.

40.

Effects of number of training generations on genomic prediction for various traits in a layer chicken population.

Weng Z, Wolc A, Shen X, Fernando RL, Dekkers JC, Arango J, Settar P, Fulton JE, O'Sullivan NP, Garrick DJ.

Genet Sel Evol. 2016 Mar 19;48:22. doi: 10.1186/s12711-016-0198-9.

41.

The Effect of Calf Gender on Milk Production in Seasonal Calving Cows and Its Impact on Genetic Evaluations.

Hess MK, Hess AS, Garrick DJ.

PLoS One. 2016 Mar 14;11(3):e0151236. doi: 10.1371/journal.pone.0151236. eCollection 2016.

42.

Mixture models detect large effect QTL better than GBLUP and result in more accurate and persistent predictions.

Wolc A, Arango J, Settar P, Fulton JE, O'Sullivan NP, Dekkers JC, Fernando R, Garrick DJ.

J Anim Sci Biotechnol. 2016 Feb 11;7:7. doi: 10.1186/s40104-016-0066-z. eCollection 2016.

43.
44.

A fast and efficient Gibbs sampler for BayesB in whole-genome analyses.

Cheng H, Qu L, Garrick DJ, Fernando RL.

Genet Sel Evol. 2015 Oct 14;47:80. doi: 10.1186/s12711-015-0157-x.

45.

Response and inbreeding from a genomic selection experiment in layer chickens.

Wolc A, Zhao HH, Arango J, Settar P, Fulton JE, O'Sullivan NP, Preisinger R, Stricker C, Habier D, Fernando RL, Garrick DJ, Lamont SJ, Dekkers JC.

Genet Sel Evol. 2015 Jul 7;47:59. doi: 10.1186/s12711-015-0133-5.

46.

Genetic parameters and genetic correlations among triacylglycerol and phospholipid fractions in Angus cattle.

Buchanan JW, Reecy JM, Garrick DJ, Duan Q, Beitz DC, Mateescu RG.

J Anim Sci. 2015 Feb;93(2):522-8. doi: 10.2527/jas.2014-8418.

PMID:
26020741
47.

XSim: Simulation of Descendants from Ancestors with Sequence Data.

Cheng H, Garrick D, Fernando R.

G3 (Bethesda). 2015 May 7;5(7):1415-7. doi: 10.1534/g3.115.016683.

48.

Comparison of Bayesian models to estimate direct genomic values in multi-breed commercial beef cattle.

Rolf MM, Garrick DJ, Fountain T, Ramey HR, Weaber RL, Decker JE, Pollak EJ, Schnabel RD, Taylor JF.

Genet Sel Evol. 2015 Apr 1;47:23. doi: 10.1186/s12711-015-0106-8.

49.

Functionally reciprocal mutations of the prolactin signalling pathway define hairy and slick cattle.

Littlejohn MD, Henty KM, Tiplady K, Johnson T, Harland C, Lopdell T, Sherlock RG, Li W, Lukefahr SD, Shanks BC, Garrick DJ, Snell RG, Spelman RJ, Davis SR.

Nat Commun. 2014 Dec 18;5:5861. doi: 10.1038/ncomms6861.

50.

Comparison of breeding value prediction for two traits in a Nellore-Angus crossbred population using different Bayesian modeling methodologies.

Hulsman Hanna LL, Garrick DJ, Gill CA, Herring AD, Sanders JO, Riley DG.

Genet Mol Biol. 2014 Oct;37(4):631-7. doi: 10.1590/S1415-47572014005000021. Epub 2014 Nov 14.

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