BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

299 related articles for article (PubMed ID: 28464096)

  • 1. The impact of multi-generational genotype imputation strategies on imputation accuracy and subsequent genomic predictions.
    Judge MM; Purfield DC; Sleator RD; Berry DP
    J Anim Sci; 2017 Apr; 95(4):1489-1501. PubMed ID: 28464096
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multi-generational imputation of single nucleotide polymorphism marker genotypes and accuracy of genomic selection.
    Toghiani S; Aggrey SE; Rekaya R
    Animal; 2016 Jul; 10(7):1077-85. PubMed ID: 27076192
    [TBL] [Abstract][Full Text] [Related]  

  • 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; 46(5):544-56. PubMed ID: 26360638
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Imputation of non-genotyped sheep from the genotypes of their mates and resulting progeny.
    Berry DP; McHugh N; Randles S; Wall E; McDermott K; Sargolzaei M; O'Brien AC
    Animal; 2018 Feb; 12(2):191-198. PubMed ID: 28712375
    [TBL] [Abstract][Full Text] [Related]  

  • 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; 12(11):2235-2245. PubMed ID: 29706144
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Imputation of non-genotyped F1 dams to improve genetic gain in swine crossbreeding programs.
    See GM; Fix JS; Schwab CR; Spangler ML
    J Anim Sci; 2022 May; 100(5):. PubMed ID: 35451025
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Genomic predictions for economically important traits in Brazilian Braford and Hereford beef cattle using true and imputed genotypes.
    Piccoli ML; Brito LF; Braccini J; Cardoso FF; Sargolzaei M; Schenkel FS
    BMC Genet; 2017 Jan; 18(1):2. PubMed ID: 28100165
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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. PubMed ID: 23810591
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The feasibility of using low-density marker panels for genotype imputation and genomic prediction of crossbred dairy cattle of East Africa.
    Aliloo H; Mrode R; Okeyo AM; Ni G; Goddard ME; Gibson JP
    J Dairy Sci; 2018 Oct; 101(10):9108-9127. PubMed ID: 30077450
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Genomic prediction ability for beef fatty acid profile in Nelore cattle using different pseudo-phenotypes.
    Chiaia HLJ; Peripolli E; de Oliveira Silva RM; Feitosa FLB; de Lemos MVA; Berton MP; Olivieri BF; Espigolan R; Tonussi RL; Gordo DGM; de Albuquerque LG; de Oliveira HN; Ferrinho AM; Mueller LF; Kluska S; Tonhati H; Pereira ASC; Aguilar I; Baldi F
    J Appl Genet; 2018 Nov; 59(4):493-501. PubMed ID: 30251238
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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; 13():538. PubMed ID: 23043356
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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. PubMed ID: 25958293
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluation of measures of correctness of genotype imputation in the context of genomic prediction: a review of livestock applications.
    Calus MP; Bouwman AC; Hickey JM; Veerkamp RF; Mulder HA
    Animal; 2014 Nov; 8(11):1743-53. PubMed ID: 25045914
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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. PubMed ID: 22281352
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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. PubMed ID: 24840560
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Accuracy of genotype imputation based on random and selected reference sets in purebred and crossbred sheep populations and its effect on accuracy of genomic prediction.
    Moghaddar N; Gore KP; Daetwyler HD; Hayes BJ; van der Werf JH
    Genet Sel Evol; 2015 Dec; 47():97. PubMed ID: 26694131
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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; 4(4):623-31. PubMed ID: 24531728
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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; 97(4):1550-1567. PubMed ID: 30722011
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A mating advice system in dairy cattle incorporating genomic information.
    Carthy TR; McCarthy J; Berry DP
    J Dairy Sci; 2019 Sep; 102(9):8210-8220. PubMed ID: 31229287
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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. PubMed ID: 21700057
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.