Synomics’ combination of a proprietary technology platform and deep industry experience offers unique potential to identify trait-associated, combinatorial and predictive SNPs that standard GWAS does not find and translate these SNPs to genomic prediction models which out-perform current best-in-class.
Egg weight (EW) is an economically important trait which displays a consecutive increase with a hen’s age. As EW is lowly heritable in older birds, this case study focused on EW at week 56 (EW56). We used a publicly available dataset of 1,027 hens, to investigate the additional, detailed insight our platform was able to discover above standard industry analyses and quantified the impact this additional insight has when translated to a genomic prediction model and genomic selection.
Genotype and phenotype datasets were analysed in Synomics’ proprietary platform, identifying high-order combinations of SNPs (including epistatic interactions). These combinations capture the non-linearity of biological effects and the impact they have on phenotypes much better than existing methods based on single features (such as GWAS). These novel, biologically, and statistically relevant genetic variants were then incorporated into our next-generation genomic evaluation method.