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Results: 1 to 20 of 112

1.

Imputation of genotypes from low- to high-density genotyping platforms and implications for genomic selection.

Berry DP, Kearney JF.

Animal. 2011 Jun;5(8):1162-9. doi: 10.1017/S1751731111000309.

PMID:
22440168
[PubMed]
2.

Accuracy of genotype imputation in sheep breeds.

Hayes BJ, Bowman PJ, Daetwyler HD, Kijas JW, van der Werf JH.

Anim Genet. 2012 Feb;43(1):72-80. doi: 10.1111/j.1365-2052.2011.02208.x. Epub 2011 May 27.

PMID:
22221027
[PubMed - indexed for MEDLINE]
3.

Assets of imputation to ultra-high density for productive and functional traits.

Jiménez-Montero JA, Gianola D, Weigel K, Alenda R, González-Recio O.

J Dairy Sci. 2013 Sep;96(9):6047-58. doi: 10.3168/jds.2013-6793. Epub 2013 Jun 28.

PMID:
23810591
[PubMed - indexed for MEDLINE]
4.

Strategies and utility of imputed SNP genotypes for genomic analysis in dairy cattle.

Khatkar MS, Moser G, Hayes BJ, Raadsma HW.

BMC Genomics. 2012 Oct 8;13:538. doi: 10.1186/1471-2164-13-538.

PMID:
23043356
[PubMed - indexed for MEDLINE]
Free PMC Article
5.

Effect of imputing markers from a low-density chip on the reliability of genomic breeding values in Holstein populations.

Dassonneville R, Brøndum RF, Druet T, Fritz S, Guillaume F, Guldbrandtsen B, Lund MS, Ducrocq V, Su G.

J Dairy Sci. 2011 Jul;94(7):3679-86. doi: 10.3168/jds.2011-4299.

PMID:
21700057
[PubMed - indexed for MEDLINE]
6.

Imputation of ungenotyped parental genotypes in dairy and beef cattle from progeny genotypes.

Berry DP, McParland S, Kearney JF, Sargolzaei M, Mullen MP.

Animal. 2014 Jun;8(6):895-903. doi: 10.1017/S1751731114000883.

PMID:
24840560
[PubMed - in process]
7.

Reliability of genomic prediction for German Holsteins using imputed genotypes from low-density chips.

Segelke D, Chen J, Liu Z, Reinhardt F, Thaller G, Reents R.

J Dairy Sci. 2012 Sep;95(9):5403-11. doi: 10.3168/jds.2012-5466.

PMID:
22916947
[PubMed - indexed for MEDLINE]
8.

Imputation of missing single nucleotide polymorphism genotypes using a multivariate mixed model framework.

Calus MP, Veerkamp RF, Mulder HA.

J Anim Sci. 2011 Jul;89(7):2042-9. doi: 10.2527/jas.2010-3297. Epub 2011 Feb 25.

PMID:
21357451
[PubMed - indexed for MEDLINE]
Free Article
9.

Accuracy of estimation of genomic breeding values in pigs using low-density genotypes and imputation.

Badke YM, Bates RO, Ernst CW, Fix J, Steibel JP.

G3 (Bethesda). 2014 Apr 16;4(4):623-31. doi: 10.1534/g3.114.010504.

PMID:
24531728
[PubMed - indexed for MEDLINE]
Free PMC Article
10.

Within- and across-breed imputation of high-density genotypes in dairy and beef cattle from medium- and low-density genotypes.

Berry DP, McClure MC, Mullen MP.

J Anim Breed Genet. 2014 Jun;131(3):165-72. doi: 10.1111/jbg.12067. Epub 2013 Dec 5.

PMID:
24906026
[PubMed - in process]
11.

Imputation of genotypes from low density (50,000 markers) to high density (700,000 markers) of cows from research herds in Europe, North America, and Australasia using 2 reference populations.

Pryce JE, Johnston J, Hayes BJ, Sahana G, Weigel KA 2nd, McParland S, Spurlock D, Krattenmacher N, Spelman RJ, Wall E, Calus MP.

J Dairy Sci. 2014 Mar;97(3):1799-811. doi: 10.3168/jds.2013-7368. Epub 2014 Jan 25.

PMID:
24472132
[PubMed - in process]
12.

Practical implementation of cost-effective genomic selection in commercial pig breeding using imputation.

Cleveland MA, Hickey JM.

J Anim Sci. 2013 Aug;91(8):3583-92. doi: 10.2527/jas.2013-6270. Epub 2013 Jun 4.

PMID:
23736050
[PubMed - indexed for MEDLINE]
Free Article
13.

Effects of reduced panel, reference origin, and genetic relationship on imputation of genotypes in Hereford cattle.

Huang Y, Maltecca C, Cassady JP, Alexander LJ, Snelling WM, MacNeil MD.

J Anim Sci. 2012 Dec;90(12):4203-8. doi: 10.2527/jas.2011-4728. Epub 2012 Aug 2.

PMID:
22859753
[PubMed - indexed for MEDLINE]
Free Article
14.

Genomic selection using low density marker panels with application to a sire line in pigs.

Wellmann R, Preuß S, Tholen E, Heinkel J, Wimmers K, Bennewitz J.

Genet Sel Evol. 2013 Jul 29;45:28. doi: 10.1186/1297-9686-45-28.

PMID:
23895218
[PubMed - indexed for MEDLINE]
Free PMC Article
15.

Accuracy of genome-wide imputation of untyped markers and impacts on statistical power for association studies.

Hao K, Chudin E, McElwee J, Schadt EE.

BMC Genet. 2009 Jun 16;10:27. doi: 10.1186/1471-2156-10-27.

PMID:
19531258
[PubMed - indexed for MEDLINE]
Free PMC Article
16.

Methods of tagSNP selection and other variables affecting imputation accuracy in swine.

Badke YM, Bates RO, Ernst CW, Schwab C, Fix J, Van Tassell CP, Steibel JP.

BMC Genet. 2013 Feb 21;14:8. doi: 10.1186/1471-2156-14-8.

PMID:
23433396
[PubMed - indexed for MEDLINE]
Free PMC Article
17.

Impact of genotype imputation on the performance of GBLUP and Bayesian methods for genomic prediction.

Chen L, Li C, Sargolzaei M, Schenkel F.

PLoS One. 2014 Jul 15;9(7):e101544. doi: 10.1371/journal.pone.0101544. eCollection 2014.

PMID:
25025158
[PubMed - in process]
Free PMC Article
18.

High-density marker imputation accuracy in sixteen French cattle breeds.

Hozé C, Fouilloux MN, Venot E, Guillaume F, Dassonneville R, Fritz S, Ducrocq V, Phocas F, Boichard D, Croiseau P.

Genet Sel Evol. 2013 Sep 3;45:33. doi: 10.1186/1297-9686-45-33.

PMID:
24004563
[PubMed - indexed for MEDLINE]
Free PMC Article
19.

The utility of low-density genotyping for imputation in the Thoroughbred horse.

Corbin LJ, Kranis A, Blott SC, Swinburne JE, Vaudin M, Bishop SC, Woolliams JA.

Genet Sel Evol. 2014 Feb 4;46:9. doi: 10.1186/1297-9686-46-9.

PMID:
24495673
[PubMed - indexed for MEDLINE]
Free PMC Article
20.

Accuracy of direct genomic values derived from imputed single nucleotide polymorphism genotypes in Jersey cattle.

Weigel KA, de Los Campos G, Vazquez AI, Rosa GJ, Gianola D, Van Tassell CP.

J Dairy Sci. 2010 Nov;93(11):5423-35. doi: 10.3168/jds.2010-3149.

PMID:
20965358
[PubMed - indexed for MEDLINE]

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