2012
DOI: 10.1017/s1751731112001280
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Polymorphisms in an obesity-related gene (PCSK1) are associated with fat deposition and production traits in Italian heavy pigs

Abstract: The proprotein convertase subtilisin/kexin type 1 (PCSK1) gene encodes the prohormone convertase 1/3 enzyme that processes prohormones into functional hormones that, in turn, regulate central and peripheral energy metabolism. Mutations in the human PCSK1 gene cause severe monogenic obesity or confer risk of obesity. We herein investigated the porcine PCSK1 gene with the aim of identifying polymorphisms associated with fat deposition and production traits in Italian heavy pigs. By re-sequencing about 5.1 kb of … Show more

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Cited by 16 publications
(15 citation statements)
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References 63 publications
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“…Pigs of both breeds were performance-tested during the same period and in the same batch at the Test Station of the National Pig Breeder Association (ANAS). Performance evaluation started when the pigs were 30 to 45 days of age and ended when the animals reached about 155 ± 5 kg live weight (Fontanesi et al, 2012). All animals were fed and handled in the same ways.…”
Section: Methodsmentioning
confidence: 99%
“…Pigs of both breeds were performance-tested during the same period and in the same batch at the Test Station of the National Pig Breeder Association (ANAS). Performance evaluation started when the pigs were 30 to 45 days of age and ended when the animals reached about 155 ± 5 kg live weight (Fontanesi et al, 2012). All animals were fed and handled in the same ways.…”
Section: Methodsmentioning
confidence: 99%
“…Depending on the trait, models included the fixed effects of sex, batch on trial, inbreeding coefficient of the animal, interaction of sex by age at slaughtering, date of slaughtering and the random effects of litter and animal. Random Residuals (RRs) were calculated for all considered traits using linear fixed models including the same factors used for each trait in the BLUP-Multiple Trait Animal Model (Fontanesi et al, 2010;2012a). Reasons for using both EBVs and RRs in association analyses has been discussed in details in Fontanesi et al (2012a).…”
Section: Discussionmentioning
confidence: 99%
“…Random Residuals (RRs) were calculated for all considered traits using linear fixed models including the same factors used for each trait in the BLUP-Multiple Trait Animal Model (Fontanesi et al, 2010;2012a). Reasons for using both EBVs and RRs in association analyses has been discussed in details in Fontanesi et al (2012a).…”
Section: Discussionmentioning
confidence: 99%
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