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.
228 related articles for article (PubMed ID: 29243001)
1. Comparing strategies for selection of low-density SNPs for imputation-mediated genomic prediction in U. S. Holsteins. He J; Xu J; Wu XL; Bauck S; Lee J; Morota G; Kachman SD; Spangler ML Genetica; 2018 Apr; 146(2):137-149. PubMed ID: 29243001 [TBL] [Abstract][Full Text] [Related]
2. Optimal Design of Low-Density SNP Arrays for Genomic Prediction: Algorithm and Applications. Wu XL; Xu J; Feng G; Wiggans GR; Taylor JF; He J; Qian C; Qiu J; Simpson B; Walker J; Bauck S PLoS One; 2016; 11(9):e0161719. PubMed ID: 27583971 [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. 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]
5. 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]
6. 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; 94(3):949-62. PubMed ID: 27065257 [TBL] [Abstract][Full Text] [Related]
7. 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]
8. Accuracy of prediction of simulated polygenic phenotypes and their underlying quantitative trait loci genotypes using real or imputed whole-genome markers in cattle. Hassani S; Saatchi M; Fernando RL; Garrick DJ Genet Sel Evol; 2015 Dec; 47():99. PubMed ID: 26698091 [TBL] [Abstract][Full Text] [Related]
9. 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; 46(1):69. PubMed ID: 25927950 [TBL] [Abstract][Full Text] [Related]
10. 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]
11. Marker selection and genomic prediction of economically important traits using imputed high-density genotypes for 5 breeds of dairy cattle. Al-Khudhair A; VanRaden PM; Null DJ; Li B J Dairy Sci; 2021 Apr; 104(4):4478-4485. PubMed ID: 33612229 [TBL] [Abstract][Full Text] [Related]
12. 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; 97(7):2780-2792. PubMed ID: 31115442 [TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. 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]
16. Imputation of genotypes from low density (50,000 markers) to high density (700,000 markers) of cows from research herds in Europe, North America, and Australasia using 2 reference populations. Pryce JE; Johnston J; Hayes BJ; Sahana G; Weigel KA; McParland S; Spurlock D; Krattenmacher N; Spelman RJ; Wall E; Calus MP J Dairy Sci; 2014 Mar; 97(3):1799-811. PubMed ID: 24472132 [TBL] [Abstract][Full Text] [Related]
17. Genotype Imputation To Improve the Cost-Efficiency of Genomic Selection in Farmed Atlantic Salmon. Tsai HY; Matika O; Edwards SM; Antolín-Sánchez R; Hamilton A; Guy DR; Tinch AE; Gharbi K; Stear MJ; Taggart JB; Bron JE; Hickey JM; Houston RD G3 (Bethesda); 2017 Apr; 7(4):1377-1383. PubMed ID: 28250015 [TBL] [Abstract][Full Text] [Related]
18. Assessing single-nucleotide polymorphism selection methods for the development of a low-density panel optimized for imputation in South African Drakensberger beef cattle. Lashmar SF; Berry DP; Pierneef R; Muchadeyi FC; Visser C J Anim Sci; 2021 Jul; 99(7):. PubMed ID: 33860324 [TBL] [Abstract][Full Text] [Related]
19. Accuracy of imputation of single nucleotide polymorphism marker genotypes from low-density panels in Japanese Black cattle. Ogawa S; Matsuda H; Taniguchi Y; Watanabe T; Takasuga A; Sugimoto Y; Iwaisaki H Anim Sci J; 2016 Jan; 87(1):3-12. PubMed ID: 26032028 [TBL] [Abstract][Full Text] [Related]
20. Evaluation of low-density SNP panels and imputation for cost-effective genomic selection in four aquaculture species. Kriaridou C; Tsairidou S; Fraslin C; Gorjanc G; Looseley ME; Johnston IA; Houston RD; Robledo D Front Genet; 2023; 14():1194266. PubMed ID: 37252666 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]