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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
