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Results: 1 to 20 of 124

1.

Hot topic: Definition and implementation of a breeding value for feed efficiency in dairy cows.

Pryce JE, Gonzalez-Recio O, Nieuwhof G, Wales WJ, Coffey MP, Hayes BJ, Goddard ME.

J Dairy Sci. 2015 Aug 5. pii: S0022-0302(15)00555-X. doi: 10.3168/jds.2015-9621. [Epub ahead of print]

PMID:
26254533
2.

Validation of markers with non-additive effects on milk yield and fertility in Holstein and Jersey cows.

Aliloo H, Pryce JE, González-Recio O, Cocks BG, Hayes BJ.

BMC Genet. 2015 Jul 22;16:89. doi: 10.1186/s12863-015-0241-9.

3.

Selection on Optimal Haploid Value Increases Genetic Gain and Preserves More Genetic Diversity Relative to Genomic Selection.

Daetwyler HD, Hayden MJ, Spangenberg GC, Hayes BJ.

Genetics. 2015 Aug;200(4):1341-8. doi: 10.1534/genetics.115.178038. Epub 2015 Jun 19.

PMID:
26092719
4.

Impact of QTL properties on the accuracy of multi-breed genomic prediction.

Wientjes YC, Calus MP, Goddard ME, Hayes BJ.

Genet Sel Evol. 2015 May 8;47:42. doi: 10.1186/s12711-015-0124-6.

5.

A computationally efficient algorithm for genomic prediction using a Bayesian model.

Wang T, Chen YP, Goddard ME, Meuwissen TH, Kemper KE, Hayes BJ.

Genet Sel Evol. 2015 Apr 30;47:34. doi: 10.1186/s12711-014-0082-4.

6.

Improved precision of QTL mapping using a nonlinear Bayesian method in a multi-breed population leads to greater accuracy of across-breed genomic predictions.

Kemper KE, Reich CM, Bowman PJ, Vander Jagt CJ, Chamberlain AJ, Mason BA, Hayes BJ, Goddard ME.

Genet Sel Evol. 2015 Apr 17;47:29. doi: 10.1186/s12711-014-0074-4.

7.

Non-additive genetic variation in growth, carcass and fertility traits of beef cattle.

Bolormaa S, Pryce JE, Zhang Y, Reverter A, Barendse W, Hayes BJ, Goddard ME.

Genet Sel Evol. 2015 Apr 2;47:26. doi: 10.1186/s12711-015-0114-8.

8.

Characterizing homozygosity across United States, New Zealand and Australian Jersey cow and bull populations.

Howard JT, Maltecca C, Haile-Mariam M, Hayes BJ, Pryce JE.

BMC Genomics. 2015 Mar 15;16:187. doi: 10.1186/s12864-015-1352-4.

9.

Coordinated international action to accelerate genome-to-phenome with FAANG, the Functional Annotation of Animal Genomes project.

Andersson L, Archibald AL, Bottema CD, Brauning R, Burgess SC, Burt DW, Casas E, Cheng HH, Clarke L, Couldrey C, Dalrymple BP, Elsik CG, Foissac S, Giuffra E, Groenen MA, Hayes BJ, Huang LS, Khatib H, Kijas JW, Kim H, Lunney JK, McCarthy FM, McEwan JC, Moore S, Nanduri B, Notredame C, Palti Y, Plastow GS, Reecy JM, Rohrer GA, Sarropoulou E, Schmidt CJ, Silverstein J, Tellam RL, Tixier-Boichard M, Tosser-Klopp G, Tuggle CK, Vilkki J, White SN, Zhao S, Zhou H; FAANG Consortium.

Genome Biol. 2015 Mar 25;16:57. doi: 10.1186/s13059-015-0622-4.

10.

Simultaneous discovery, estimation and prediction analysis of complex traits using a bayesian mixture model.

Moser G, Lee SH, Hayes BJ, Goddard ME, Wray NR, Visscher PM.

PLoS Genet. 2015 Apr 7;11(4):e1004969. doi: 10.1371/journal.pgen.1004969. eCollection 2015 Apr.

11.

How old are quantitative trait loci and how widely do they segregate?

Kemper KE, Hayes BJ, Daetwyler HD, Goddard ME.

J Anim Breed Genet. 2015 Apr;132(2):121-34. doi: 10.1111/jbg.12152.

PMID:
25823838
12.

Including overseas performance information in genomic evaluations of Australian dairy cattle.

Haile-Mariam M, Pryce JE, Schrooten C, Hayes BJ.

J Dairy Sci. 2015 May;98(5):3443-59. doi: 10.3168/jds.2014-8785. Epub 2015 Mar 12.

PMID:
25771052
13.

Efficient iPS cell generation from blood using episomes and HDAC inhibitors.

Hubbard JJ, Sullivan SK, Mills JA, Hayes BJ, Torok-Storb BJ, Ramakrishnan A.

J Vis Exp. 2014 Oct 28;(92):e52009. doi: 10.3791/52009.

PMID:
25408260
14.

Identification of genomic regions associated with inbreeding depression in Holstein and Jersey dairy cattle.

Pryce JE, Haile-Mariam M, Goddard ME, Hayes BJ.

Genet Sel Evol. 2014 Nov 18;46:71. doi: 10.1186/s12711-014-0071-7.

15.

Regulator of G-protein signaling-5 is a marker of hepatic stellate cells and expression mediates response to liver injury.

Bahrami AJ, Gunaje JJ, Hayes BJ, Riehle KJ, Kenerson HL, Yeung RS, Stempien-Otero AS, Campbell JS, Mahoney WM Jr.

PLoS One. 2014 Oct 7;9(10):e108505. doi: 10.1371/journal.pone.0108505. eCollection 2014.

16.

The effects of demography and long-term selection on the accuracy of genomic prediction with sequence data.

MacLeod IM, Hayes BJ, Goddard ME.

Genetics. 2014 Dec;198(4):1671-84. doi: 10.1534/genetics.114.168344. Epub 2014 Sep 18.

PMID:
25233989
17.

Improving breeding efficiency in potato using molecular and quantitative genetics.

Slater AT, Cogan NO, Hayes BJ, Schultz L, Dale MF, Bryan GJ, Forster JW.

Theor Appl Genet. 2014 Nov;127(11):2279-92. doi: 10.1007/s00122-014-2386-8. Epub 2014 Sep 4. Review.

PMID:
25186170
18.

Linkage disequilibrium over short physical distances measured in sheep using a high-density SNP chip.

Kijas JW, Porto-Neto L, Dominik S, Reverter A, Bunch R, McCulloch R, Hayes BJ, Brauning R, McEwan J; International Sheep Genomics Consortium.

Anim Genet. 2014 Oct;45(5):754-7. doi: 10.1111/age.12197. Epub 2014 Jul 17.

PMID:
25040320
19.

Accuracy of imputation to whole-genome sequence data in Holstein Friesian cattle.

van Binsbergen R, Bink MC, Calus MP, van Eeuwijk FA, Hayes BJ, Hulsegge I, Veerkamp RF.

Genet Sel Evol. 2014 Jul 15;46:41. doi: 10.1186/1297-9686-46-41.

20.

Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle.

Daetwyler HD, Capitan A, Pausch H, Stothard P, van Binsbergen R, Brøndum RF, Liao X, Djari A, Rodriguez SC, Grohs C, Esquerré D, Bouchez O, Rossignol MN, Klopp C, Rocha D, Fritz S, Eggen A, Bowman PJ, Coote D, Chamberlain AJ, Anderson C, VanTassell CP, Hulsegge I, Goddard ME, Guldbrandtsen B, Lund MS, Veerkamp RF, Boichard DA, Fries R, Hayes BJ.

Nat Genet. 2014 Aug;46(8):858-65. doi: 10.1038/ng.3034. Epub 2014 Jul 13.

PMID:
25017103
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