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High Imputation Accuracy in Layer Chicken from Sequence Data on a Few Key Ancestors

Tuesday, August 19, 2014
Posters (The Westin Bayshore)
Marzieh Heidaritabar , Wageningen University, Wageningen, Netherlands
Mario P. L. Calus , Animal Breeding and Genomics Centre, Wageningen UR Livestock Research, Wageningen, Netherlands
Addie Vereijken , Hendrix Genetics, Boxmeer, Netherlands
Martien AM Groenen , Animal Breeding and Genomics Centre, Wageningen University, Wageningen, Netherlands
John W.M. Bastiaansen , Animal Breeding and Genomics Centre, Wageningen University, Wageningen, Netherlands
Abstract Text: We assessed a scenario designed to mimic the imputation of full genome sequence data in White layer chickens, genotyped at medium (60K) density. Factors affecting accuracy were the size of the reference population, the level of the relationship between the reference and test populations and minor allele frequency of the SNP being imputed. Genotype imputation based on 22 or 62 carefully selected reference animals resulted in accuracies between 0.78 and 0.87. So, a very small reference population already provided satisfactory results. These results suggest that full genome SNP imputation is possible in layer chicken when a suitable pool of key ancestors is sequenced. SNPs with low MAF were more difficult to impute. Accuracies did not reduce when test populations were 1, 2, or 3 generations away from the reference animals.

Keywords:

Layer chicken

Imputation accuracy

Whole genome sequence

Key ancestors