These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

153 related articles for article (PubMed ID: 35754832)

  • 41. Effect of genotyping strategies on the sustained benefit of single-step genomic BLUP over multiple generations.
    Sánchez-Mayor M; Riggio V; Navarro P; Gutiérrez-Gil B; Haley CS; De la Fuente LF; Arranz JJ; Pong-Wong R
    Genet Sel Evol; 2022 Mar; 54(1):23. PubMed ID: 35303797
    [TBL] [Abstract][Full Text] [Related]  

  • 42. 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]  

  • 43. Use of a Bayesian model including QTL markers increases prediction reliability when test animals are distant from the reference population.
    Ma P; Lund MS; Aamand GP; Su G
    J Dairy Sci; 2019 Aug; 102(8):7237-7247. PubMed ID: 31155255
    [TBL] [Abstract][Full Text] [Related]  

  • 44. The effect of using cow genomic information on accuracy and bias of genomic breeding values in a simulated Holstein dairy cattle population.
    Dehnavi E; Mahyari SA; Schenkel FS; Sargolzaei M
    J Dairy Sci; 2018 Jun; 101(6):5166-5176. PubMed ID: 29605309
    [TBL] [Abstract][Full Text] [Related]  

  • 45. 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. PubMed ID: 23736050
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Review: Opportunities and challenges for small populations of dairy cattle in the era of genomics.
    Schöpke K; Swalve HH
    Animal; 2016 Jun; 10(6):1050-60. PubMed ID: 26957010
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Proofs for genotype by environment interactions considering pedigree and genomic data from organic and conventional cow reference populations.
    Shabalina T; Yin T; May K; König S
    J Dairy Sci; 2021 Apr; 104(4):4452-4466. PubMed ID: 33589254
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Identity-by-descent genomic selection using selective and sparse genotyping.
    Odegård J; Meuwissen TH
    Genet Sel Evol; 2014 Jan; 46(1):3. PubMed ID: 24444432
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Accuracy of genomic prediction for milk production traits in the Chinese Holstein population using a reference population consisting of cows.
    Ding X; Zhang Z; Li X; Wang S; Wu X; Sun D; Yu Y; Liu J; Wang Y; Zhang Y; Zhang S; Zhang Y; Zhang Q
    J Dairy Sci; 2013 Aug; 96(8):5315-23. PubMed ID: 23746588
    [TBL] [Abstract][Full Text] [Related]  

  • 50. The impact of selective genotyping on the response to selection using single-step genomic best linear unbiased prediction.
    Howard JT; Rathje TA; Bruns CE; Wilson-Wells DF; Kachman SD; Spangler ML
    J Anim Sci; 2018 Nov; 96(11):4532-4542. PubMed ID: 30107560
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Exploring the size of reference population for expected accuracy of genomic prediction using simulated and real data in Japanese Black cattle.
    Takeda M; Inoue K; Oyama H; Uchiyama K; Yoshinari K; Sasago N; Kojima T; Kashima M; Suzuki H; Kamata T; Kumagai M; Takasugi W; Aonuma T; Soma Y; Konno S; Saito T; Ishida M; Muraki E; Inoue Y; Takayama M; Nariai S; Hideshima R; Nakamura R; Nishikawa S; Kobayashi H; Shibata E; Yamamoto K; Yoshimura K; Matsuda H; Inoue T; Fujita A; Terayama S; Inoue K; Morita S; Nakashima R; Suezawa R; Hanamure T; Zoda A; Uemoto Y
    BMC Genomics; 2021 Nov; 22(1):799. PubMed ID: 34742249
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Impact of fitting dominance and additive effects on accuracy of genomic prediction of breeding values in layers.
    Heidaritabar M; Wolc A; Arango J; Zeng J; Settar P; Fulton JE; O'Sullivan NP; Bastiaansen JW; Fernando RL; Garrick DJ; Dekkers JC
    J Anim Breed Genet; 2016 Oct; 133(5):334-46. PubMed ID: 27357473
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Genomic selection in admixed and crossbred populations.
    Toosi A; Fernando RL; Dekkers JC
    J Anim Sci; 2010 Jan; 88(1):32-46. PubMed ID: 19749023
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Predicting the accuracy of genomic predictions.
    Dekkers JCM; Su H; Cheng J
    Genet Sel Evol; 2021 Jun; 53(1):55. PubMed ID: 34187354
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Genotyping strategies of selection candidates in livestock breeding programmes.
    Granleese T; Clark SA; van der Werf JHJ
    J Anim Breed Genet; 2019 Mar; 136(2):91-101. PubMed ID: 30690805
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Design of reference populations for genomic selection in crossbreeding programs.
    van Grevenhof IE; van der Werf JH
    Genet Sel Evol; 2015 Mar; 47(1):14. PubMed ID: 25887562
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Persistency of accuracy of genomic breeding values for different simulated pig breeding programs in developing countries.
    Akanno EC; Schenkel FS; Sargolzaei M; Friendship RM; Robinson JA
    J Anim Breed Genet; 2014 Oct; 131(5):367-78. PubMed ID: 24628765
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Determination of the optimal number of markers and individuals in a training population necessary for maximum prediction accuracy in F
    Peixoto LA; Bhering LL; Cruz CD
    Genet Mol Res; 2016 Nov; 15(4):. PubMed ID: 27886337
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Potential benefits of genomic selection on genetic gain of small ruminant breeding programs.
    Shumbusho F; Raoul J; Astruc JM; Palhiere I; Elsen JM
    J Anim Sci; 2013 Aug; 91(8):3644-57. PubMed ID: 23736059
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Which Individuals To Choose To Update the Reference Population? Minimizing the Loss of Genetic Diversity in Animal Genomic Selection Programs.
    Eynard SE; Croiseau P; Laloë D; Fritz S; Calus MPL; Restoux G
    G3 (Bethesda); 2018 Jan; 8(1):113-121. PubMed ID: 29133511
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.