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Efficient imputation of missing markers in low-coverage genotyping-by-sequencing data from multi-parental crosses

We consider genomic imputation for low-coverage genotyping-by-sequencing data with high levels of missing data. We compensate for this loss of information by utilizing family relationships in multiparental experimental crosses. This nearly quadruples the number of usable markers when applied to a la...

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Main Authors: Huang, B Emma, Raghavan, Chitra, Mauleon, Ramil, Broman, Karl W., Leung, Hei
Format: Journal Article
Language:Inglés
Published: Oxford University Press 2014
Subjects:
crosses
genetic markers
genomics
genotypes
methods
parents
plant breeding
Online Access:https://hdl.handle.net/10568/165527
Summary:We consider genomic imputation for low-coverage genotyping-by-sequencing data with high levels of missing data. We compensate for this loss of information by utilizing family relationships in multiparental experimental crosses. This nearly quadruples the number of usable markers when applied to a large rice Multiparent Advanced Generation InterCross (MAGIC) study.

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