Accuracy of genotype imputation in Nelore cattleReportar como inadecuado

Accuracy of genotype imputation in Nelore cattle - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

Genetics Selection Evolution

, 46:69

First Online: 10 October 2014Received: 01 April 2014Accepted: 19 September 2014


BackgroundGenotype imputation from low-density LD to high-density single nucleotide polymorphism SNP chips is an important step before applying genomic selection, since denser chips tend to provide more reliable genomic predictions. Imputation methods rely partially on linkage disequilibrium between markers to infer unobserved genotypes. Bos indicus cattle e.g. Nelore breed are characterized, in general, by lower levels of linkage disequilibrium between genetic markers at short distances, compared to taurine breeds. Thus, it is important to evaluate the accuracy of imputation to better define which imputation method and chip are most appropriate for genomic applications in indicine breeds.

MethodsAccuracy of genotype imputation in Nelore cattle was evaluated using different LD chips, imputation software and sets of animals. Twelve commercial and customized LD chips with densities ranging from 7 K to 75 K were tested. Customized LD chips were virtually designed taking into account minor allele frequency, linkage disequilibrium and distance between markers. Software programs FImpute and BEAGLE were applied to impute genotypes. From 995 bulls and 1247 cows that were genotyped with the Illumina® BovineHD chip HD, 793 sires composed the reference set, and the remaining 202 younger sires and all the cows composed two separate validation sets for which genotypes were masked except for the SNPs of the LD chip that were to be tested.

ResultsImputation accuracy increased with the SNP density of the LD chip. However, the gain in accuracy with LD chips with more than 15 K SNPs was relatively small because accuracy was already high at this density. Commercial and customized LD chips with equivalent densities presented similar results. FImpute outperformed BEAGLE for all LD chips and validation sets. Regardless of the imputation software used, accuracy tended to increase as the relatedness between imputed and reference animals increased, especially for the 7 K chip.

ConclusionsIf the Illumina® BovineHD is considered as the target chip for genomic applications in the Nelore breed, cost-effectiveness can be improved by genotyping part of the animals with a chip containing around 15 K useful SNPs and imputing their high-density missing genotypes with FImpute.

Electronic supplementary materialThe online version of this article doi:10.1186-s12711-014-0069-1 contains supplementary material, which is available to authorized users.

Download fulltext PDF

Autor: Roberto Carvalheiro - Solomon A Boison - Haroldo H R Neves - Mehdi Sargolzaei - Flavio S Schenkel - Yuri T Utsunomiya -


Documentos relacionados