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Items: 1 to 20 of 150

1.

Short communication: Imputation performances of 3 low-density marker panels in beef and dairy cattle.

Dassonneville R, Fritz S, Ducrocq V, Boichard D.

J Dairy Sci. 2012 Jul;95(7):4136-40. doi: 10.3168/jds.2011-5133.

PMID:
22720970
2.

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
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
4.

Strategies for single nucleotide polymorphism (SNP) genotyping to enhance genotype imputation in Gyr (Bos indicus) dairy cattle: Comparison of commercially available SNP chips.

Boison SA, Santos DJ, Utsunomiya AH, Carvalheiro R, Neves HH, O'Brien AM, Garcia JF, Sölkner J, da Silva MV.

J Dairy Sci. 2015 Jul;98(7):4969-89. doi: 10.3168/jds.2014-9213. Epub 2015 May 7.

5.

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
6.

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.

7.

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.

8.

Use of the Illumina Bovine3K BeadChip in dairy genomic evaluation.

Wiggans GR, Cooper TA, Vanraden PM, Olson KM, Tooker ME.

J Dairy Sci. 2012 Mar;95(3):1552-8. doi: 10.3168/jds.2011-4985.

PMID:
22365235
9.

Imputation of genotypes from different single nucleotide polymorphism panels in dairy cattle.

Druet T, Schrooten C, de Roos AP.

J Dairy Sci. 2010 Nov;93(11):5443-54. doi: 10.3168/jds.2010-3255.

PMID:
20965360
10.

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
11.

Accuracy of genotype imputation in Nelore cattle.

Carvalheiro R, Boison SA, Neves HH, Sargolzaei M, Schenkel FS, Utsunomiya YT, O'Brien AM, Sölkner J, McEwan JC, Van Tassell CP, Sonstegard TS, Garcia JF.

Genet Sel Evol. 2014 Oct 10;46:69. doi: 10.1186/s12711-014-0069-1.

12.

Genomic imputation and evaluation using high-density Holstein genotypes.

VanRaden PM, Null DJ, Sargolzaei M, Wiggans GR, Tooker ME, Cole JB, Sonstegard TS, Connor EE, Winters M, van Kaam JB, Valentini A, Van Doormaal BJ, Faust MA, Doak GA.

J Dairy Sci. 2013 Jan;96(1):668-78. doi: 10.3168/jds.2012-5702. Epub 2012 Oct 11.

PMID:
23063157
13.

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
14.

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.

15.

Extent of linkage disequilibrium, consistency of gametic phase, and imputation accuracy within and across Canadian dairy breeds.

Larmer SG, Sargolzaei M, Schenkel FS.

J Dairy Sci. 2014 May;97(5):3128-41. doi: 10.3168/jds.2013-6826. Epub 2014 Feb 26.

PMID:
24582440
16.

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
17.

Efficiency of multi-breed genomic selection for dairy cattle breeds with different sizes of reference population.

Hozé C, Fritz S, Phocas F, Boichard D, Ducrocq V, Croiseau P.

J Dairy Sci. 2014;97(6):3918-29. doi: 10.3168/jds.2013-7761. Epub 2014 Apr 3.

PMID:
24704232
18.

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
19.

Design of a low-density SNP chip for the main Australian sheep breeds and its effect on imputation and genomic prediction accuracy.

Bolormaa S, Gore K, van der Werf JH, Hayes BJ, Daetwyler HD.

Anim Genet. 2015 Oct;46(5):544-56. doi: 10.1111/age.12340. Epub 2015 Sep 11.

PMID:
26360638
20.

Marker imputation with low-density marker panels in Dutch Holstein cattle.

Zhang Z, Druet T.

J Dairy Sci. 2010 Nov;93(11):5487-94. doi: 10.3168/jds.2010-3501.

PMID:
20965364

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