Estimation of Complex-Trait Prediction Accuracy from the Different Holo-Omics Interaction Models.

ABSTRACT: Statistical models play a significant role in designing competent breeding programs related to complex traits. Recently; the holo-omics framework has been productively utilized in trait prediction; but it contains many complexities. Therefore; it is desirable to establish prediction accuracy while combining the host's genome and microbiome data. Several methods can be used to combine the two data in the model and study their effectiveness by estimating the prediction accuracy. We validate our holo-omics interaction models with analysis from two publicly available datasets and compare them with genomic and microbiome prediction models. We illustrate that the holo-omics interactive models achieved the highest prediction accuracy in ten out of eleven traits. In particular; the holo-omics inte

SUBMITTER: Qadri QR 

PROVIDER: S-EPMC9498715 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature