Imputation of non-genotyped sheep from the genotypes of their mates and resulting progeny

• Published in: Animal (Cambridge, England) Vol. 12; no. 2; pp. 191 - 198
• Main Authors: Berry, D. P., McHugh, N., Randles, S., Wall, E., McDermott, K., Sargolzaei, M., O’Brien, A. C.
• Format: Journal Article
• Language: English
• Published: Cambridge, UK Cambridge University Press 01.02.2018; Elsevier Limited; Elsevier
• Subjects: Accuracy; Animal sciences; Animals; Biological materials; Breeding and genetics; Cattle; FImpute; Gene polymorphism; Genetics; Genomes; Genomic analysis; Genotypes; Genotyping; Group size; impute; Offspring; Ovis aries; parent; Phenotyping; Polymorphism; Population; Progeny; Research Article; Sheep; Single-nucleotide polymorphism; Zoology; parent; FImpute; impute; single nucleotide polymorphism
• ISSN: 1751-7311; 1751-732X
• DOI: 10.1017/S1751731117001653

Accurate genomic analyses are predicated on access to a large quantity of accurately genotyped and phenotyped animals. Because the cost of genotyping is often less than the cost of phenotyping, interest is increasing in generating genotypes for phenotyped animals. In some instances this may imply the requirement to genotype older animals with greater phenotypic information content. Biological material for these older informative animals may, however, no longer exist. The objective of the present study was to quantify the ability to impute 11 129 single nucleotide polymorphism (SNP) genotypes of non-genotyped animals (in this instance sires) from the genotypes of their progeny with or without including the genotypes of the progenys’ dams (i.e. mates of the sire to be imputed). The impact on the accuracy of genotype imputation by including more progeny (and their dams’) genotypes in the imputation reference population was also quantified. When genotypes of the dams were not available, genotypes of 41 sires with at least 15 genotyped progeny were used for the imputation; when genotypes of the dams were available, genotypes of 21 sires with at least 10 genotyped progeny were used for the imputation. Imputation was undertaken exploiting family and population level information. The mean and variability in the proportion of genotypes per individual that could not be imputed reduced as the number of progeny genotypes used per individual increased. Little improvement in the proportion of genotypes that could not be imputed was achieved once genotypes of seven progeny and their dams were used or genotypes of 11 progeny without their respective dam’s genotypes were used. Mean imputation accuracy per individual (depicted by both concordance rates and correlation between true and imputed) increased with increasing progeny group size. Moreover, the range in mean imputation accuracy per individual reduced as more progeny genotypes were used in the imputation. If the genotype of the mate of the sire was also used, high accuracy of imputation (mean genotype concordance rate per individual of 0.988), with little additional benefit thereafter, was achieved with seven genotyped progeny. In the absence of genotypes on the dam, similar imputation accuracy could not be achieved even using genotypes on up to 15 progeny. Results therefore suggest, at least for the SNP density used in the present study, that it is possible to accurately impute the genotypes of a non-genotyped parent from the genotypes of its progeny and there is a benefit of also including the genotype of the sire’s mate (i.e. dam of the progeny).