Title |
A genome wide association study for backfat thickness in Italian Large White pigs highlights new regions affecting fat deposition including neuronal genes
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Published in |
BMC Genomics, November 2012
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DOI | 10.1186/1471-2164-13-583 |
Pubmed ID | |
Authors |
Luca Fontanesi, Giuseppina Schiavo, Giuliano Galimberti, Daniela Giovanna Calò, Emilio Scotti, Pier Luigi Martelli, Luca Buttazzoni, Rita Casadio, Vincenzo Russo |
Abstract |
Carcass fatness is an important trait in most pig breeding programs. Following market requests, breeding plans for fresh pork consumption are usually designed to reduce carcass fat content and increase lean meat deposition. However, the Italian pig industry is mainly devoted to the production of Protected Designation of Origin dry cured hams: pigs are slaughtered at around 160 kg of live weight and the breeding goal aims at maintaining fat coverage, measured as backfat thickness to avoid excessive desiccation of the hams. This objective has shaped the genetic pool of Italian heavy pig breeds for a few decades. In this study we applied a selective genotyping approach within a population of ~ 12,000 performance tested Italian Large White pigs. Within this population, we selectively genotyped 304 pigs with extreme and divergent backfat thickness estimated breeding value by the Illumina PorcineSNP60 BeadChip and performed a genome wide association study to identify loci associated to this trait. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Australia | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Italy | 2 | 3% |
United States | 1 | 1% |
Unknown | 64 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 18 | 27% |
Student > Ph. D. Student | 16 | 24% |
Student > Master | 6 | 9% |
Professor > Associate Professor | 3 | 4% |
Student > Bachelor | 2 | 3% |
Other | 4 | 6% |
Unknown | 18 | 27% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 30 | 45% |
Biochemistry, Genetics and Molecular Biology | 4 | 6% |
Medicine and Dentistry | 2 | 3% |
Computer Science | 2 | 3% |
Business, Management and Accounting | 1 | 1% |
Other | 8 | 12% |
Unknown | 20 | 30% |