Abstract
Background and Aims : The human plasma lipidome captures information beyond routinely clinically used lipids and has disease relevance in cardiometabolic diseases and beyond. Genome-wide association studies (GWAS) of individual lipid species (univariate analysis) have identified many lipid-associated loci, however the influence of genetic variants on lipid metabolism and cardiovascular disease risk is not fully understood. Multivariate analysis of multiple correlated lipid species improves statistical power and could help identify additional lipid loci.
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