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

Abstract

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. © 2014 by the Genetics Society of America.