Using feedback in pooled experiments augmented with imputation for high genotyping accuracy at reduced cost.

ABSTRACT: Conducting genomic selection (GS) in plant breeding programs can substantially speed up the development of new varieties. GS provides more reliable insights when it is based on dense marker data, in which the rare variants can be particularly informative. Despite the availability of new technologies, the cost of large-scale genotyping remains a major limitation to the implementation of GS. We suggest to combine pooled genotyping with population-based imputation as a cost-effective computational strategy for genotyping SNPs. Pooling saves genotyping tests and has proven to accurately capture the rare variants that are usually missed by imputation. In this study, we investigate adding iterative coupling to a joint model of pooling and imputation that we have previously proposed. In each iter

SUBMITTER: Clouard C 

PROVIDER: S-EPMC11917477 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature