137 related articles for article (PubMed ID: 21285022)
1. Quantitative trait prediction based on genetic marker-array data, a simulation study.
Yip WK; Lange C
Bioinformatics; 2011 Mar; 27(6):745-8. PubMed ID: 21285022
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Impact of QTL minor allele frequency on genomic evaluation using real genotype data and simulated phenotypes in Japanese Black cattle.
Uemoto Y; Sasaki S; Kojima T; Sugimoto Y; Watanabe T
BMC Genet; 2015 Nov; 16():134. PubMed ID: 26586567
[TBL] [Abstract][Full Text] [Related]
4. Relevance of genetic relationship in GWAS and genomic prediction.
Pereira HD; Soriano Viana JM; Andrade ACB; Fonseca E Silva F; Paes GP
J Appl Genet; 2018 Feb; 59(1):1-8. PubMed ID: 29190011
[TBL] [Abstract][Full Text] [Related]
5. Estimation of genetic variance contributed by a quantitative trait locus: correcting the bias associated with significance tests.
Xie F; Wang S; Beavis WD; Xu S
Genetics; 2021 Nov; 219(3):. PubMed ID: 34740243
[TBL] [Abstract][Full Text] [Related]
6. An efficient unified model for genome-wide association studies and genomic selection.
Li H; Su G; Jiang L; Bao Z
Genet Sel Evol; 2017 Aug; 49(1):64. PubMed ID: 28836943
[TBL] [Abstract][Full Text] [Related]
7. High-density linkage map construction and QTL analyses for fiber quality, yield and morphological traits using CottonSNP63K array in upland cotton (Gossypium hirsutum L.).
Zhang K; Kuraparthy V; Fang H; Zhu L; Sood S; Jones DC
BMC Genomics; 2019 Nov; 20(1):889. PubMed ID: 31771502
[TBL] [Abstract][Full Text] [Related]
8. An efficient method to handle the 'large p, small n' problem for genomewide association studies using Haseman-Elston regression.
Mei B; Wang Z
J Genet; 2016 Dec; 95(4):847-852. PubMed ID: 27994183
[TBL] [Abstract][Full Text] [Related]
9. A multi-trait Bayesian method for mapping QTL and genomic prediction.
Kemper KE; Bowman PJ; Hayes BJ; Visscher PM; Goddard ME
Genet Sel Evol; 2018 Mar; 50(1):10. PubMed ID: 29571285
[TBL] [Abstract][Full Text] [Related]
10. Genome-wide association mapping including phenotypes from relatives without genotypes.
Wang H; Misztal I; Aguilar I; Legarra A; Muir WM
Genet Res (Camb); 2012 Apr; 94(2):73-83. PubMed ID: 22624567
[TBL] [Abstract][Full Text] [Related]
11. Quantitative trait loci markers derived from whole genome sequence data increases the reliability of genomic prediction.
Brøndum RF; Su G; Janss L; Sahana G; Guldbrandtsen B; Boichard D; Lund MS
J Dairy Sci; 2015 Jun; 98(6):4107-16. PubMed ID: 25892697
[TBL] [Abstract][Full Text] [Related]
12. Genome-wide association analyses identify known and novel loci for teat number in Duroc pigs using single-locus and multi-locus models.
Zhuang Z; Ding R; Peng L; Wu J; Ye Y; Zhou S; Wang X; Quan J; Zheng E; Cai G; Huang W; Yang J; Wu Z
BMC Genomics; 2020 May; 21(1):344. PubMed ID: 32380955
[TBL] [Abstract][Full Text] [Related]
13. Genetic architecture of maize kernel row number and whole genome prediction.
Liu L; Du Y; Huo D; Wang M; Shen X; Yue B; Qiu F; Zheng Y; Yan J; Zhang Z
Theor Appl Genet; 2015 Nov; 128(11):2243-54. PubMed ID: 26188589
[TBL] [Abstract][Full Text] [Related]
14. Limits on the reproducibility of marker associations with southern leaf blight resistance in the maize nested association mapping population.
Bian Y; Yang Q; Balint-Kurti PJ; Wisser RJ; Holland JB
BMC Genomics; 2014 Dec; 15(1):1068. PubMed ID: 25475173
[TBL] [Abstract][Full Text] [Related]
15. A genome scan for quantitative trait loci influencing carcass, post-natal growth and reproductive traits in commercial Angus cattle.
McClure MC; Morsci NS; Schnabel RD; Kim JW; Yao P; Rolf MM; McKay SD; Gregg SJ; Chapple RH; Northcutt SL; Taylor JF
Anim Genet; 2010 Dec; 41(6):597-607. PubMed ID: 20477797
[TBL] [Abstract][Full Text] [Related]
16. Combination of Linkage Mapping, GWAS, and GP to Dissect the Genetic Basis of Common Rust Resistance in Tropical Maize Germplasm.
Kibe M; Nyaga C; Nair SK; Beyene Y; Das B; M SL; Bright JM; Makumbi D; Kinyua J; Olsen MS; Prasanna BM; Gowda M
Int J Mol Sci; 2020 Sep; 21(18):. PubMed ID: 32899999
[TBL] [Abstract][Full Text] [Related]
17. Genomic Prediction Accuracy of Seven Breeding Selection Traits Improved by QTL Identification in Flax.
Lan S; Zheng C; Hauck K; McCausland M; Duguid SD; Booker HM; Cloutier S; You FM
Int J Mol Sci; 2020 Feb; 21(5):. PubMed ID: 32106624
[TBL] [Abstract][Full Text] [Related]
18. Genome Wide Single Locus Single Trait, Multi-Locus and Multi-Trait Association Mapping for Some Important Agronomic Traits in Common Wheat (T. aestivum L.).
Jaiswal V; Gahlaut V; Meher PK; Mir RR; Jaiswal JP; Rao AR; Balyan HS; Gupta PK
PLoS One; 2016; 11(7):e0159343. PubMed ID: 27441835
[TBL] [Abstract][Full Text] [Related]
19. Integrating molecular QTL data into genome-wide genetic association analysis: Probabilistic assessment of enrichment and colocalization.
Wen X; Pique-Regi R; Luca F
PLoS Genet; 2017 Mar; 13(3):e1006646. PubMed ID: 28278150
[TBL] [Abstract][Full Text] [Related]
20. Evaluation of linkage disequilibrium measures between multi-allelic markers as predictors of linkage disequilibrium between single nucleotide polymorphisms.
Zhao H; Nettleton D; Dekkers JC
Genet Res; 2007 Feb; 89(1):1-6. PubMed ID: 17517154
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]