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Journal Abstract Search

818 related items for PubMed ID: 30722011

  • 1. High imputation accuracy from informative low-to-medium density single nucleotide polymorphism genotypes is achievable in sheep1.
    O'Brien AC, Judge MM, Fair S, Berry DP.
    J Anim Sci; 2019 Apr 03; 97(4):1550-1567. PubMed ID: 30722011
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  • 2. Evaluation of developed low-density genotype panels for imputation to higher density in independent dairy and beef cattle populations.
    Judge MM, Kearney JF, McClure MC, Sleator RD, Berry DP.
    J Anim Sci; 2016 Mar 03; 94(3):949-62. PubMed ID: 27065257
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  • 3. 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 03; 46(5):544-56. PubMed ID: 26360638
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  • 5. Genotype imputation from various low-density SNP panels and its impact on accuracy of genomic breeding values in pigs.
    Grossi DA, Brito LF, Jafarikia M, Schenkel FS, Feng Z.
    Animal; 2018 Nov 03; 12(11):2235-2245. PubMed ID: 29706144
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  • 6. Accuracy of genotype imputation in sheep breeds.
    Hayes BJ, Bowman PJ, Daetwyler HD, Kijas JW, van der Werf JH.
    Anim Genet; 2012 Feb 03; 43(1):72-80. PubMed ID: 22221027
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  • 7. 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 03; 97(5):3128-41. PubMed ID: 24582440
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  • 9. 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 03; 45(1):33. PubMed ID: 24004563
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  • 10. 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(1):69. PubMed ID: 25927950
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  • 11. 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 Oct 10; 97(6):3918-29. PubMed ID: 24704232
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  • 12. Design of low density SNP chips for genotype imputation in layer chicken.
    Herry F, Hérault F, Picard Druet D, Varenne A, Burlot T, Le Roy P, Allais S.
    BMC Genet; 2018 Dec 04; 19(1):108. PubMed ID: 30514201
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  • 14. 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(1):41. PubMed ID: 25022768
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  • 17. Concordance rate between copy number variants detected using either high- or medium-density single nucleotide polymorphism genotype panels and the potential of imputing copy number variants from flanking high density single nucleotide polymorphism haplotypes in cattle.
    Rafter P, Gormley IC, Parnell AC, Kearney JF, Berry DP.
    BMC Genomics; 2020 Mar 04; 21(1):205. PubMed ID: 32131735
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  • 18. Estimations of linkage disequilibrium, effective population size and ROH-based inbreeding coefficients in Spanish Churra sheep using imputed high-density SNP genotypes.
    Chitneedi PK, Arranz JJ, Suarez-Vega A, García-Gámez E, Gutiérrez-Gil B.
    Anim Genet; 2017 Aug 04; 48(4):436-446. PubMed ID: 28543827
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  • 19. The impact of reducing the frequency of animals genotyped at higher density on imputation and prediction accuracies using ssGBLUP1.
    Sollero BP, Howard JT, Spangler ML.
    J Anim Sci; 2019 Jul 02; 97(7):2780-2792. PubMed ID: 31115442
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