Imputation of single nucleotide polymorphism genotypes in biparental, backcross, and topcross populations with a hidden Markov model

Hickey, J M and Gorjanc, G and Varshney, R K and Nettelblad, C (2015) Imputation of single nucleotide polymorphism genotypes in biparental, backcross, and topcross populations with a hidden Markov model. Crop Science, 55. pp. 1-13. ISSN 0011-183X

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Abstract

Genomic selection offers great potential to increase the rate of genetic improvement in plant breeding programs. The ability to accurately impute missing genotypes for a large number of individuals, screened with low marker density, at low cost is crucial for achieving this. In this research an existing general algorithm for tracing allele inheritance in known pedigrees was modified to enable genotype imputation in specific crosses (biparental, backcross, and topcross) that are common in plant breeding. The extension was tested with a series of representative simulated examples of these crosses. The results show success of imputation is affected by many factors including the number of low-density markers per cM, level of inbreeding or intercrossing of the individuals to have genotypes imputed, level of inbreeding of the parents of a cross, and genome length; but not by the number of high-density markers or by the interaction between the genome length and the number of low-density markers. With as few as one or two markers per 20 cM genotype imputation was successful when parents were inbred. Therefore, genotyping strategies in which inbred parents of a cross are genotyped at high-density and their descendants are genotyped with 200 to 400 markers genome wide may be cost effective and useful in practical plant breeding programs that utilize genomic selection.

Item Type:	Article
Divisions:	RP-Grain Legumes
CRP:	CGIAR Research Program on Grain Legumes
Uncontrolled Keywords:	Genetic Improvement, Plant Breeding, Genomic Selection, Hidden Markov Models, Genotypes
Subjects:	Others > Genetics and Genomics
Depositing User:	Mr B K Murthy
Date Deposited:	29 Jan 2016 04:57
Last Modified:	29 Jan 2016 06:13
URI:	http://oar.icrisat.org/id/eprint/9281
Official URL:	http://dx.doi.org/10.2135/cropsci2014.09.0648
Projects:	UNSPECIFIED
Funders:	UNSPECIFIED
Acknowledgement:	J.M. Hickey and G. Gorjanc received support from a BBSRC strategic grant to The Roslin Institute, from The Seeds of Discovery, and from ICRISAT. C. Nettelblad and computational infrastructure work was supported by the Swedish Research Council, the Knut and Alice Wallenberg Foundation, the European Research Council, the Röntgen-Ångström Cluster, and Stiftelsen Olle Engkvist Byggmästare. Some development work done by C. Nettelblad was also performed on resources provided by SNIC through Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX) under Project snic2014-3-30. Editing and review of the manuscript was completed by S.M. Cleveland.
Links:	Google Scholar

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