2021
DOI: 10.1007/s11427-020-1826-x
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Four genetic loci affecting swine lung lesions identified by whole-genome sequencing-based association studies

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Cited by 4 publications
(3 citation statements)
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“…Both the anterior and posterior of lungs from each experimental pig were photographed using a digital camera. Six professionally trained panelists scored the level of lung lesions independently according to the following scoring criteria 39 : (i) A total of 13 sections were scored, including six sections from the anterior lung and seven sections from the posterior lung. The sections of anterior lung included left and right apical lobes, left and right cardiac lobes, and left and right diaphragmatic lobes.…”
Section: Methodsmentioning
confidence: 99%
“…Both the anterior and posterior of lungs from each experimental pig were photographed using a digital camera. Six professionally trained panelists scored the level of lung lesions independently according to the following scoring criteria 39 : (i) A total of 13 sections were scored, including six sections from the anterior lung and seven sections from the posterior lung. The sections of anterior lung included left and right apical lobes, left and right cardiac lobes, and left and right diaphragmatic lobes.…”
Section: Methodsmentioning
confidence: 99%
“…For instance, PLAG1 and BMP2 have been identified as strong candidate genes associated with body size 16 18 . MUC13 and RNF216 were associated with disease resistance 4 , 19 . In domestic pigs, PLAG1 has been subjected to long-term positive selection 12 , and the favorable allele conferring larger stature has a higher frequency in domestic pigs than in wild boars 20 .…”
Section: Introductionmentioning
confidence: 99%
“…Thus far, 35,384 QTLs have been identified in pigs according to pigQTLdb, of which 3315 QTLs are associated with reproduction ( , 25 April 2022). In pigs, GWAS has identified numerous SNPs significantly associated with growth traits [ 4 , 5 ], meat quality [ 6 , 7 ], feed efficiency [ 8 , 9 ], semen traits [ 10 , 11 ], coat color [ 12 , 13 ], genetic defects [ 14 , 15 ], disease susceptibility [ 16 , 17 ], and microbial phenotypes [ 18 ]. However, most of them were genotyped based on SNP microarrays, and the density of markers is a key factor affecting GWAS efficiency [ 19 ].…”
Section: Introductionmentioning
confidence: 99%