UnissResearch

Logo Universitàegli studi di Sassari
titoli, abstracts, parole chiave >>>
Pre-selection of most significant SNPS for the estimation of genomic breeding values

Macciotta, Nicolò Pietro Paolo and Gaspa, Giustino and Steri, Roberto and Pieramati, Camillo and Carnier, Paolo and Dimauro, Corrado (2009) Pre-selection of most significant SNPS for the estimation of genomic breeding values. BMC Proceedings, Vol. 3 (suppl. 1), p. 1-4. ISSN 1753-6561. Article.

[img]
Preview
Full text disponibile come PDF Richiede visualizzatore di PDF come GSview, Xpdf o Adobe Acrobat Reader
Available under License Creative Commons Attribution.

260Kb

Alternative URLs:

Abstract

The availability of a large amount of SNP markers throughout the genome of different livestock species offers the opportunity to estimate genomic breeding values (GEBVs). However, the estimation of many effects in a data set of limited size represent a severe statistical problem. A preselection of SNPS based on single regression may provide a reasonable compromise between accuracy of results, number of independent variables to be considered and computing requirements. A total of 595 and 618 SNPS were pre-selected using a simple linear regression for each SNP, based on phenotypes or polygenic EBVs, respectively, with an average distance of 9–10 cM between them. Chromosome four had the largest frequency of selected SNPS. Average correlations between GEBVs and TBVs were about 0.82 and 0.73 for the TRAINING generations when phenotypes or polygenic EBVs were considered as dependent variable, whereas they tend to decrease to 0.66 and 0.54 for the PREDICTION generations. The pre-selection of SNPs using the phenotypes as dependent variable together with a BLUP estimation of marker genotype effects using a variance contribution of each marker equal to σ2a/nsnps resulted in a remarkable accuracy of GEBV estimation (0.77) in the PREDICTION generations.

Item Type:Article
ID Code:1609
Status:Published
Refereed:Yes
Uncontrolled Keywords:SNP, genomic breeding values
Subjects:Area 07 - Scienze agrarie e veterinarie > AGR/17 Zootecnica generale e miglioramento genetico
Area 07 - Scienze agrarie e veterinarie > AGR/19 Zootecnica speciale
Divisions:001 Università di Sassari > 01 Dipartimenti > Scienze zootecniche
Publisher:BioMed Central
ISSN:1753-6561
Deposited On:18 Aug 2009 10:05

I documenti depositati in UnissResearch sono protetti dalle leggi che regolano il diritto d'autore

Repository Staff Only: item control page