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.
721 related articles for article (PubMed ID: 31805849)
1. Genomic prediction based on selected variants from imputed whole-genome sequence data in Australian sheep populations. Moghaddar N; Khansefid M; van der Werf JHJ; Bolormaa S; Duijvesteijn N; Clark SA; Swan AA; Daetwyler HD; MacLeod IM Genet Sel Evol; 2019 Dec; 51(1):72. PubMed ID: 31805849 [TBL] [Abstract][Full Text] [Related]
2. 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]
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. Genomic prediction from observed and imputed high-density ovine genotypes. Moghaddar N; Swan AA; van der Werf JHJ Genet Sel Evol; 2017 Apr; 49(1):40. PubMed ID: 28427324 [TBL] [Abstract][Full Text] [Related]
5. Using imputed whole-genome sequence data to improve the accuracy of genomic prediction for parasite resistance in Australian sheep. Al Kalaldeh M; Gibson J; Duijvesteijn N; Daetwyler HD; MacLeod I; Moghaddar N; Lee SH; van der Werf JHJ Genet Sel Evol; 2019 Jun; 51(1):32. PubMed ID: 31242855 [TBL] [Abstract][Full Text] [Related]
6. Genomic prediction in a numerically small breed population using prioritized genetic markers from whole-genome sequence data. Moghaddar N; Brown DJ; Swan AA; Gurman PM; Li L; van der Werf JH J Anim Breed Genet; 2022 Jan; 139(1):71-83. PubMed ID: 34374454 [TBL] [Abstract][Full Text] [Related]
7. Use of whole-genome sequence data and novel genomic selection strategies to improve selection for age at puberty in tropically-adapted beef heifers. Warburton CL; Engle BN; Ross EM; Costilla R; Moore SS; Corbet NJ; Allen JM; Laing AR; Fordyce G; Lyons RE; McGowan MR; Burns BM; Hayes BJ Genet Sel Evol; 2020 May; 52(1):28. PubMed ID: 32460805 [TBL] [Abstract][Full Text] [Related]
8. 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. PubMed ID: 22221027 [TBL] [Abstract][Full Text] [Related]
9. Genome-wide association study and prediction of genomic breeding values for fatty-acid composition in Korean Hanwoo cattle using a high-density single-nucleotide polymorphism array. Bhuiyan MSA; Kim YK; Kim HJ; Lee DH; Lee SH; Yoon HB; Lee SH J Anim Sci; 2018 Sep; 96(10):4063-4075. PubMed ID: 30265318 [TBL] [Abstract][Full Text] [Related]
10. Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits. MacLeod IM; Bowman PJ; Vander Jagt CJ; Haile-Mariam M; Kemper KE; Chamberlain AJ; Schrooten C; Hayes BJ; Goddard ME BMC Genomics; 2016 Feb; 17():144. PubMed ID: 26920147 [TBL] [Abstract][Full Text] [Related]
11. Accuracy of genomic predictions for feed efficiency traits of beef cattle using 50K and imputed HD genotypes. Lu D; Akanno EC; Crowley JJ; Schenkel F; Li H; De Pauw M; Moore SS; Wang Z; Li C; Stothard P; Plastow G; Miller SP; Basarab JA J Anim Sci; 2016 Apr; 94(4):1342-53. PubMed ID: 27135994 [TBL] [Abstract][Full Text] [Related]
12. Comparing genomic prediction accuracy from purebred, crossbred and combined purebred and crossbred reference populations in sheep. Moghaddar N; Swan AA; van der Werf JH Genet Sel Evol; 2014 Sep; 46(1):58. PubMed ID: 25927315 [TBL] [Abstract][Full Text] [Related]
13. Accuracy of imputation to whole-genome sequence in sheep. Bolormaa S; Chamberlain AJ; Khansefid M; Stothard P; Swan AA; Mason B; Prowse-Wilkins CP; Duijvesteijn N; Moghaddar N; van der Werf JH; Daetwyler HD; MacLeod IM Genet Sel Evol; 2019 Jan; 51(1):1. PubMed ID: 30654735 [TBL] [Abstract][Full Text] [Related]
14. Genomic prediction using preselected DNA variants from a GWAS with whole-genome sequence data in Holstein-Friesian cattle. Veerkamp RF; Bouwman AC; Schrooten C; Calus MP Genet Sel Evol; 2016 Dec; 48(1):95. PubMed ID: 27905878 [TBL] [Abstract][Full Text] [Related]
15. Functionally prioritised whole-genome sequence variants improve the accuracy of genomic prediction for heat tolerance. Cheruiyot EK; Haile-Mariam M; Cocks BG; MacLeod IM; Mrode R; Pryce JE Genet Sel Evol; 2022 Feb; 54(1):17. PubMed ID: 35183109 [TBL] [Abstract][Full Text] [Related]
16. Use of gene expression and whole-genome sequence information to improve the accuracy of genomic prediction for carcass traits in Hanwoo cattle. de Las Heras-Saldana S; Lopez BI; Moghaddar N; Park W; Park JE; Chung KY; Lim D; Lee SH; Shin D; van der Werf JHJ Genet Sel Evol; 2020 Sep; 52(1):54. PubMed ID: 32993481 [TBL] [Abstract][Full Text] [Related]
17. Improving Genomic Predictions in Multi-Breed Cattle Populations: A Comparative Analysis of BayesR and GBLUP Models. Ma H; Li H; Ge F; Zhao H; Zhu B; Zhang L; Gao H; Xu L; Li J; Wang Z Genes (Basel); 2024 Feb; 15(2):. PubMed ID: 38397242 [TBL] [Abstract][Full Text] [Related]