Haplotype associated RNA expression (HARE) improves prediction of complex traits in maize.

ABSTRACT: Genomic prediction typically relies on associations between single-site polymorphisms and traits of interest. This representation of genomic variability has been successful for predicting many complex traits. However, it usually cannot capture the combination of alleles in haplotypes and it has generated little insight about the biological function of polymorphisms. Here we present a novel and cost-effective method for imputing cis haplotype associated RNA expression (HARE), studied their transferability across tissues, and evaluated genomic prediction models within and across populations. HARE focuses on tightly linked cis acting causal variants in the immediate vicinity of the gene, while excluding trans effects from diffusion and metabolism. Therefore, HARE estimates were more transferr

SUBMITTER: Giri A 

PROVIDER: S-EPMC8516254 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature