A genome-wide association study on growth traits of Korean commercial pig breeds using Bayesian methods

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참고문헌 (44)

1. Kang HS, "Estimation of genetic parameters and genetic trends for major economic traits in swine", J Anim Sci Technol, 54, pp.89~94 (2012)[DOI]
2. Cho KH, "Changes rate in selection of Yorkshire pig for productive traits using the integrated test records among GGPs", J Korean Data Inform Sci Soc, 27, pp.429~435 (2016)[DOI]
3. Choi JG, "Genetic parameter estimation in seedstock swine population for growth performances", Asian-Australas J Anim Sci, 26, pp.470~475 (2013)[DOI]
4. Ruan D, "Weighted single-step GWAS identified candidate genes associated with growth traits in a Duroc pig population", Genes, 12, pp.117~ (2021)[DOI]
5. Andersson L, "Domestic-animal genomics : deciphering the genetics of complex traits", Nat Rev Genet, 5, pp.202~212 (2004)[DOI]
6. Balding DJ, "A tutorial on statistical methods for population association studies", Nat Rev Genet, 7, pp.781~791 (2006)[DOI]
7. Hirschhorn JN, "Genome-wide association studies for common diseases and complex traits", Nat Rev Genet, 6, pp.95~108 (2005)[DOI]
8. Sun X, "Genomic breeding value prediction and QTL mapping of QTLMAS2010 data using Bayesian methods", BMC Proc, 5(Suppl 3), pp.S13~ (2011)[DOI]
9. Hoeschele I, "Advances in statistical methods to map quantitative trait loci in outbred populations", Genetics, 147, pp.1445~1457 (1997)[DOI]
10. Zou W, "Statistical methods for mapping multiple QTL", Int J Plant Genomics, 2008, pp.286561~ (2008)[DOI]
11. Sargolzaei M, "A new approach for efficient genotype imputation using information from relatives", BMC Genomics, 15, pp.478~ (2014)[DOI]
12. Gilmour AR, "ASReml user guide release 4.1 structural specification", VSN international ltd, ~ (2015)
13. Saatchi M, "Accuracy of direct genomic breeding values for nationally evaluated traits in US Limousin and Simmental beef cattle", Genet Sel Evol, 44, pp.38~ (2012)[DOI]
14. Kizilkaya K, "Genomic prediction of simulated multibreed and purebred performance using observed fifty thousand single nucleotide polymorphism genotypes", J Anim Sci, 88, pp.544~551 (2010)[DOI]
15. Garrick DJ, "Genome-wide association studies and genomic prediction", pp.275~298 (2013), Humana Press
16. Lee JJ, "Genome-wide association study and genomic predictions for exterior traits in Yorkshire pigs", J Anim Sci, 97, pp.2793~2802 (2019)[DOI]
17. Keever MR, "Comparison of the molecular phenotypes of pigs carrying different IGF2 alleles at four developmental time points", master, pp.2017
18. Casas-Agustench P, "Saturated fat intake modulates the association between an obesity genetic risk score and body mass index in two US populations", J Acad Nutr Diet, 114, pp.1954~1966 (2014)[DOI]
19. Welzenbach J, "Integrative analysis of metabolomic, proteomic and genomic data to reveal functional pathways and candidate genes for drip loss in pigs", Int J Mol Sci, 17, pp.1426~ (2016)[DOI]
20. Haque ME, "The effect of mutated mitochondrial ribosomal proteins S16 and S22 on the assembly of the small and large ribosomal subunits in human mitochondria", Mitochondrion, 8, pp.254~261 (2008)[DOI]
21. Comuzzie AG, "Novel genetic loci identified for the pathophysiology of childhood obesity in the Hispanic population", PloS one, 7, pp.e51954~ (2012)[DOI]
22. Melka MG, "Genome-wide scan for loci of adolescent obesity and their relationship with blood pressure", J Clin Endocrinol Metab, 97, pp.E145~E150 (2012)[DOI]
23. Grindflek E, "Detection of quantitative trait loci for meat quality in a commercial slaughter pig cross", Mamm Genome, 12, pp.299~304 (2001)[DOI]
24. Li X, "Investigation of porcine FABP3and LEPR gene polymorphisms and mRNA expression for variation in intramuscular fat content", Mol Biol Rep, 37, pp.3931~3939 (2010)[DOI]
25. Óvilo C, "Fine mapping of porcine chromosome 6 QTL and LEPR effects on body composition in multiple generations of an Iberian by Landrace intercross", Genet Res, 85, pp.57~67 (2005)[DOI]
26. Chothe PP, "Sodium-coupled vitamin C transporter(SVCT2) : expression, function, and regulation in intervertebral disc cells", Spine J, 13, pp.549~557 (2013)[DOI]
27. Zhang T, "Genome-wide association studies revealed candidate genes for tail fat deposition and body size in the Hulun Buir sheep", J Anim Breed Genet, 136, pp.362~370 (2019)[DOI]
28. Tozaki T, "A genome-wide association study for body weight in Japanese Thoroughbred racehorses clarifies candidate regions on chromosomes 3, 9, 15, and 18", J Equine Sci, 28, pp.127~134 (2017)[DOI]
29. Widmann P, "A systems biology approach using metabolomic data reveals genes and pathways interacting to modulate divergent growth in cattle", BMC Genomics, 14, pp.798~ (2013)[DOI]
30. D’Alessandro E, "Genome-wide analyses reveal the regions involved in the phenotypic diversity in Sicilian pigs", Anim Genet, 51, pp.101~105 (2020)[DOI]
31. Fontanesi L, "A genomewide association study for average daily gain in Italian Large White pigs", J Anim Sci, 92, pp.1385~1394 (2014)[DOI]
32. Silva ÉF, "A genome-wide association study for feed efficiency-related traits in a crossbred pig population", Animal, 13, pp.2447~2456 (2019)[DOI]
33. Blaj I, "Genomewide association studies and meta-analysis uncovers new candidate genes for growth and carcass traits in pigs", PLoS one, 13, pp.e0205576~ (2018)[DOI]
34. Tachmazidou I, "Whole-genome sequencing coupled to imputation discovers genetic signals for anthropometric traits", Am J Hum Genet, 100, pp.865~884 (2017)[DOI]
35. Wang LJ, "Expression analysis, single nucleotide polymorphisms and combined genotypes in candidate genes and their associations with growth and carcass traits in Qinchuan cattle", Mol Biol Rep, 40, pp.2335~2346 (2013)[DOI]
36. Hotta K, "Association between obesity and polymorphisms in SEC16B, TMEM18, GNPDA2, BDNF, FAIM2 and MC4R in a Japanese population", J Hum Genet, 54, pp.727~731 (2009)[DOI]
37. León-Mimila P, "Contribution of common genetic variants to obesity and obesity-related traits in mexican children and adults", PLoS one, 8, pp.e70640~ (2013)[DOI]
38. Serão NVL, "Bivariate genome-wide association analysis of the growth and intake components of feed efficiency", PLoS one, 8, pp.e78530~ (2013)[DOI]
39. Valente TS, "Genome-wide association study between single nucleotide polymorphisms and flight speed in Nellore cattle", PLoS One, 11, pp.e0156956~ (2016)[DOI]
40. Puig-Oliveras A, "Expression-based GWAS identifies variants, gene interactions and key regulators affecting intramuscular fatty acid content and composition in porcine meat", Sci Rep, 6, pp.31803~ (2016)[DOI]
41. Jing L, "Transcriptome analysis of mRNA and miRNA in skeletal muscle indicates an important network for differential residual feed intake in pigs", Sci Rep, 5, pp.11953~ (2015)[DOI]
42. Chen M, "Genome-wide detection of selection signatures in Chinese indigenous Laiwu pigs revealed candidate genes regulating fat deposition in muscle", BMC Genet, 19, pp.31~ (2018)[DOI]
43. Puig-Oliveras A, "Differences in muscle transcriptome among pigs phenotypically extreme for fatty acid composition", PLoS one, 9, pp.e99720~ (2014)[DOI]
44. Ramayo-Caldas Y, "Genomewide association study for intramuscular fatty acid composition in an Iberian× Landrace cross", J Anim Sci, 90, pp.2883~2893 (2012)[DOI]

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