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.
126 related articles for article (PubMed ID: 30275897)
1. Reliability of genomic predictions of complex human phenotypes. Porto A; Peralta JM; Blackburn NB; Blangero J BMC Proc; 2018; 12(Suppl 9):51. PubMed ID: 30275897 [TBL] [Abstract][Full Text] [Related]
2. Evaluation of estimated genetic values and their application to genome-wide investigation of systolic blood pressure. Quillen EE; Voruganti VS; Chittoor G; Rubicz R; Peralta JM; Almeida MA; Kent JW; Diego VP; Dyer TD; Comuzzie AG; Göring HH; Duggirala R; Almasy L; Blangero J BMC Proc; 2014; 8(Suppl 1 Genetic Analysis Workshop 18Vanessa Olmo):S66. PubMed ID: 25519398 [TBL] [Abstract][Full Text] [Related]
3. Prediction of complex human traits using the genomic best linear unbiased predictor. de Los Campos G; Vazquez AI; Fernando R; Klimentidis YC; Sorensen D PLoS Genet; 2013; 9(7):e1003608. PubMed ID: 23874214 [TBL] [Abstract][Full Text] [Related]
4. A comparison of five methods to predict genomic breeding values of dairy bulls from genome-wide SNP markers. Moser G; Tier B; Crump RE; Khatkar MS; Raadsma HW Genet Sel Evol; 2009 Dec; 41(1):56. PubMed ID: 20043835 [TBL] [Abstract][Full Text] [Related]
5. Performances of Adaptive MultiBLUP, Bayesian regressions, and weighted-GBLUP approaches for genomic predictions in Belgian Blue beef cattle. Gualdrón Duarte JL; Gori AS; Hubin X; Lourenco D; Charlier C; Misztal I; Druet T BMC Genomics; 2020 Aug; 21(1):545. PubMed ID: 32762654 [TBL] [Abstract][Full Text] [Related]
6. Accuracy of pedigree and genomic predictions of carcass and novel meat quality traits in multi-breed sheep data assessed by cross-validation. Daetwyler HD; Swan AA; van der Werf JH; Hayes BJ Genet Sel Evol; 2012 Nov; 44(1):33. PubMed ID: 23146144 [TBL] [Abstract][Full Text] [Related]
7. Comparison of genomic predictions using genomic relationship matrices built with different weighting factors to account for locus-specific variances. Su G; Christensen OF; Janss L; Lund MS J Dairy Sci; 2014 Oct; 97(10):6547-59. PubMed ID: 25129495 [TBL] [Abstract][Full Text] [Related]
8. Is single-step genomic REML with the algorithm for proven and young more computationally efficient when less generations of data are present? Junqueira VS; Lourenco D; Masuda Y; Cardoso FF; Lopes PS; Silva FFE; Misztal I J Anim Sci; 2022 May; 100(5):. PubMed ID: 35289906 [TBL] [Abstract][Full Text] [Related]
9. Whole-genome mapping of quantitative trait loci and accuracy of genomic predictions for resistance to columnaris disease in two rainbow trout breeding populations. Silva RMO; Evenhuis JP; Vallejo RL; Gao G; Martin KE; Leeds TD; Palti Y; Lourenco DAL Genet Sel Evol; 2019 Aug; 51(1):42. PubMed ID: 31387519 [TBL] [Abstract][Full Text] [Related]
10. Genome‑wide association study and genomic prediction for growth traits in yellow-plumage chicken using genotyping-by-sequencing. Yang R; Xu Z; Wang Q; Zhu D; Bian C; Ren J; Huang Z; Zhu X; Tian Z; Wang Y; Jiang Z; Zhao Y; Zhang D; Li N; Hu X Genet Sel Evol; 2021 Oct; 53(1):82. PubMed ID: 34706641 [TBL] [Abstract][Full Text] [Related]
11. Development of genomic predictions for harvest and carcass weight in channel catfish. Garcia ALS; Bosworth B; Waldbieser G; Misztal I; Tsuruta S; Lourenco DAL Genet Sel Evol; 2018 Dec; 50(1):66. PubMed ID: 30547740 [TBL] [Abstract][Full Text] [Related]
12. Whole-genome sequence-based genomic prediction in laying chickens with different genomic relationship matrices to account for genetic architecture. Ni G; Cavero D; Fangmann A; Erbe M; Simianer H Genet Sel Evol; 2017 Jan; 49(1):8. PubMed ID: 28093063 [TBL] [Abstract][Full Text] [Related]
13. Resource allocation for maximizing prediction accuracy and genetic gain of genomic selection in plant breeding: a simulation experiment. Lorenz AJ G3 (Bethesda); 2013 Mar; 3(3):481-91. PubMed ID: 23450123 [TBL] [Abstract][Full Text] [Related]
14. Accuracy of genomic prediction using deregressed breeding values estimated from purebred and crossbred offspring phenotypes in pigs. Hidalgo AM; Bastiaansen JW; Lopes MS; Veroneze R; Groenen MA; de Koning DJ J Anim Sci; 2015 Jul; 93(7):3313-21. PubMed ID: 26440000 [TBL] [Abstract][Full Text] [Related]
15. The use of genomic information increases the accuracy of breeding value predictions for sea louse (Caligus rogercresseyi) resistance in Atlantic salmon (Salmo salar). Correa K; Bangera R; Figueroa R; Lhorente JP; Yáñez JM Genet Sel Evol; 2017 Jan; 49(1):15. PubMed ID: 28143593 [TBL] [Abstract][Full Text] [Related]
16. Increased accuracy of artificial selection by using the realized relationship matrix. Hayes BJ; Visscher PM; Goddard ME Genet Res (Camb); 2009 Feb; 91(1):47-60. PubMed ID: 19220931 [TBL] [Abstract][Full Text] [Related]
17. Factors affecting accuracy from genomic selection in populations derived from multiple inbred lines: a Barley case study. Zhong S; Dekkers JC; Fernando RL; Jannink JL Genetics; 2009 May; 182(1):355-64. PubMed ID: 19299342 [TBL] [Abstract][Full Text] [Related]
18. Genomic selection models double the accuracy of predicted breeding values for bacterial cold water disease resistance compared to a traditional pedigree-based model in rainbow trout aquaculture. Vallejo RL; Leeds TD; Gao G; Parsons JE; Martin KE; Evenhuis JP; Fragomeni BO; Wiens GD; Palti Y Genet Sel Evol; 2017 Feb; 49(1):17. PubMed ID: 28148220 [TBL] [Abstract][Full Text] [Related]
19. Genomic Prediction of Manganese Efficiency in Winter Barley. Leplat F; Jensen J; Madsen P Plant Genome; 2016 Jul; 9(2):. PubMed ID: 27898822 [TBL] [Abstract][Full Text] [Related]
20. Prediction accuracy for a simulated maternally affected trait of beef cattle using different genomic evaluation models. Lourenco DA; Misztal I; Wang H; Aguilar I; Tsuruta S; Bertrand JK J Anim Sci; 2013 Sep; 91(9):4090-8. PubMed ID: 23893997 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]