Multiomics approaches harness synergies and eliminate shortcomings to effectively deliver what one omics science alone cannot achieve. Lipotype’s new whitepaper “Unlocking the Power of Multiomics” highlights why combining genomics with lipidomics makes for a great omics pair.
Genomics for genes, lipidomics for lipids
Being major players in cardiovascular disease research, genomics and lipidomics are perfectly suited for a joint multiomics approach. It matches the capacity to identify genetic predestinations with one or multiple snapshots of the lipid metabolic status.
Linking genotype with phenotype will be critical when it comes to clinical diagnostics and to the goal of identifying the onsets of a disease.
From genotype to phenotype: interconnected disease risk factors
In this study, a large number of SNPs (single-nucleotide polymorphisms) from genomes was drawn. They were then correlated with corresponding lipid species levels from human blood plasma. The blood plasma has been analyzed with Lipotype Shotgun Lipidomics technology. The most important findings are the following.
First, the heritability of lipid species levels was quantified from the SNP correlations. Second, genetic predispositions influencing lipid species levels provide useful information for cardiovascular disease risk predictions. And third, lipidomics yields greater statistical power to identify SNPs with direct roles in lipid metabolism. Lipidomics outperforms traditional lipid panel measures used in clinical routine.