EQTLs are key players in the integration of genomic and transcriptomic data for phenotype prediction.

ABSTRACT:

Background

Multi-omics represent a promising link between phenotypes and genome variation. Few studies yet address their integration to understand genetic architecture and improve predictability.

Results

Our study used 241 poplar genotypes, phenotyped in two common gardens, with xylem and cambium RNA sequenced at one site, yielding large phenotypic, genomic (SNP), and transcriptomic datasets. Prediction models for each trait were built separately for SNPs and transcripts, and compared to a third model integrated by concatenation of both omics. The advantage of integration varied across traits and, to understand such differences, an eQTL analysis was performed to characterize the interplay between the genome and transcriptome and classify the predicting features into cis or t

SUBMITTER: Wade AR 

PROVIDER: S-EPMC9238188 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature