Jørgen Ødegård

This study identifies a major QTL on chromosome 21 in coho salmon linked to SRS resistance, implicating two candidate genes, hint3 and a lncRNA, through SNP analysis and expression correlation.

This study performs a meta-GWAS on Atlantic salmon to identify genetic variants associated with sea lice load, finding significant genomic regions and candidate genes involved in immune and tissue repair responses.

The paper improves genomic prediction accuracy for sea lice count in Atlantic salmon by prioritizing imputed SNPs from multi-population GWAS meta-analysis.

This study performs a GWAS meta-analysis of SRS resistance in Atlantic salmon, identifying a QTL on Ssa02 and 16 shared genes associated with resistance traits.

The paper links genomic prediction of muscle fat content in Atlantic salmon to changes in lipid metabolism by analyzing gene expression and eQTLs.

The paper evaluates Bayesian genomic models for predicting resistance to Streptococcus agalactiae in Nile tilapia, finding improved prediction accuracy compared to pedigree-based models.

This study compares genomic and pedigree-based models for predicting commercial traits in Nile tilapia, finding genomic models significantly improve prediction accuracy and reduce bias.