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Results: 1 to 20 of 198

1.

Imputation of high-density genotypes in the Fleckvieh cattle population.

Pausch H, Aigner B, Emmerling R, Edel C, Götz KU, Fries R.

Genet Sel Evol. 2013 Feb 13;45:3. doi: 10.1186/1297-9686-45-3.

PMID:
23406470
[PubMed - indexed for MEDLINE]
Free PMC Article
2.

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
3.

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]
4.

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]
5.

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
6.

Error rate for imputation from the Illumina BovineSNP50 chip to the Illumina BovineHD chip.

Schrooten C, Dassonneville R, Ducrocq V, Brøndum RF, Lund MS, Chen J, Liu Z, González-Recio O, Pena J, Druet T.

Genet Sel Evol. 2014 Feb 4;46:10. doi: 10.1186/1297-9686-46-10.

PMID:
24495554
[PubMed - in process]
Free PMC Article
7.

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]
8.

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, 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]
9.

Comparison of different imputation methods from low- to high-density panels using Chinese Holstein cattle.

Weng Z, Zhang Z, Zhang Q, Fu W, He S, Ding X.

Animal. 2013 May;7(5):729-35. doi: 10.1017/S1751731112002224. Epub 2012 Dec 11.

PMID:
23228675
[PubMed - indexed for MEDLINE]
Free PMC Article
10.

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
11.

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
12.

Comparison of different methods for imputing genome-wide marker genotypes in Swedish and Finnish Red Cattle.

Ma P, Brøndum RF, Zhang Q, Lund MS, Su G.

J Dairy Sci. 2013 Jul;96(7):4666-77. doi: 10.3168/jds.2012-6316. Epub 2013 May 16.

PMID:
23684022
[PubMed - indexed for MEDLINE]
Free Article
13.

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
14.

An ensemble-based approach to imputation of moderate-density genotypes for genomic selection with application to Angus cattle.

Sun C, Wu XL, Weigel KA, Rosa GJ, Bauck S, Woodward BW, Schnabel RD, Taylor JF, Gianola D.

Genet Res (Camb). 2012 Jun;94(3):133-50. doi: 10.1017/S001667231200033X. Epub 2012 Jul 18.

PMID:
22809677
[PubMed - indexed for MEDLINE]
15.

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]
16.

Prediction of unobserved single nucleotide polymorphism genotypes of Jersey cattle using reference panels and population-based imputation algorithms.

Weigel KA, Van Tassell CP, O'Connell JR, VanRaden PM, Wiggans GR.

J Dairy Sci. 2010 May;93(5):2229-38. doi: 10.3168/jds.2009-2849.

PMID:
20412938
[PubMed - indexed for MEDLINE]
17.

Comprehensive evaluation of imputation performance in African Americans.

Chanda P, Yuhki N, Li M, Bader JS, Hartz A, Boerwinkle E, Kao WH, Arking DE.

J Hum Genet. 2012 Jul;57(7):411-21. doi: 10.1038/jhg.2012.43. Epub 2012 May 31.

PMID:
22648186
[PubMed - indexed for MEDLINE]
Free PMC Article
18.

Imputation of non-genotyped individuals based on genotyped relatives: assessing the imputation accuracy of a real case scenario in dairy cattle.

Bouwman AC, Hickey JM, Calus MP, Veerkamp RF.

Genet Sel Evol. 2014 Feb 3;46:6. doi: 10.1186/1297-9686-46-6.

PMID:
24490796
[PubMed - in process]
Free PMC Article
19.

Imputation of genotypes with low-density chips and its effect on reliability of direct genomic values in Dutch Holstein cattle.

Mulder HA, Calus MP, Druet T, Schrooten C.

J Dairy Sci. 2012 Feb;95(2):876-89. doi: 10.3168/jds.2011-4490.

PMID:
22281352
[PubMed - indexed for MEDLINE]
20.

Use of partial least squares regression to impute SNP genotypes in Italian cattle breeds.

Dimauro C, Cellesi M, Gaspa G, Ajmone-Marsan P, Steri R, Marras G, Macciotta NP.

Genet Sel Evol. 2013 Jun 5;45:15. doi: 10.1186/1297-9686-45-15.

PMID:
23738947
[PubMed - indexed for MEDLINE]
Free PMC Article

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