4.7 Article

Genome-wide association analysis unveils candidate genes and loci associated with aplasia cutis congenita in pigs

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BMC GENOMICS
卷 24, 期 1, 页码 -

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BMC
DOI: 10.1186/s12864-023-09803-6

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Aplasia cutis congenita; Congenital disorder; Genome-wide association study; Pig; Candidate gene

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The Genome-Wide Association Study analysis on 216 Duroc pigs identified nine significant SNPs associated with Aplasia cutis congenita (ACC). The study also revealed the presence of two quantitative trait loci on SSC 5 and SSC13. Further annotation of candidate genes within a 1 Mb region surrounding the significant SNPs identified a total of 11 candidate genes on SSC5 and SSC13.
BackgroundAplasia cutis congenita (ACC) is a rare genetic disorder characterized by the localized or widespread absence of skin in humans and animals. Individuals with ACC may experience developmental abnormalities in the skeletal and muscular systems, as well as potential complications. Localized and isolated cases of ACC can be treated through surgical and medical interventions, while extensive cases of ACC may result in neonatal mortality. The presence of ACC in pigs has implications for animal welfare. It contributes to an elevated mortality rate among piglets at birth, leading to substantial economic losses in the pig farming industry. In order to elucidate candidate genetic loci associated with ACC, we performed a Genome-Wide Association Study analysis on 216 Duroc pigs. The primary goal of this study was to identify candidate genes that associated with ACC.ResultsThis study identified nine significant SNPs associated with ACC. Further analysis revealed the presence of two quantitative trait loci, 483 kb (5:18,196,971-18,680,098) on SSC 5 and 159 kb (13:20,713,440-207294431 bp) on SSC13. By annotating candidate genes within a 1 Mb region surrounding the significant SNPs, a total of 11 candidate genes were identified on SSC5 and SSC13, including KRT71, KRT1, KRT4, ITGB7, CSAD, RARG, SP7, PFKL, TRPM2, SUMO3, and TSPEAR.ConclusionsThe results of this study further elucidate the potential mechanisms underlying and genetic architecture of ACC and identify reliable candidate genes. These results lay the foundation for treating and understanding ACC in humans.

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