• DOI:10.1097/MOL.0b013e32834469b3
• Corpus ID: 24020035

Functional validation of new pathways in lipoprotein metabolism identified by human genetics

@article{Bauer2011FunctionalVO,
  title={Functional validation of new pathways in lipoprotein metabolism identified by human genetics},
  author={Robert C. Bauer and Ioannis M Stylianou and Daniel J. Rader},
  journal={Current Opinion in Lipidology},
  year={2011},
  volume={22},
  pages={123–128}
}

• R. Bauer, I. M. Stylianou, D. Rader
• Published 1 April 2011
• Biology
• Current Opinion in Lipidology

Purpose of review Recent genome-wide association studies (GWAS) have identified approximately 100 genomic loci that are associated with plasma lipid traits, two-thirds of which had never been previously associated with lipoprotein metabolism. Identification of the causal genes and variants, functional validation of these genes and biological pathways, and elucidation of molecular mechanisms is required and poses a daunting task. Recent findings Human genetics have been used to recently ‘validate’ genes, such as LIPG, SCARB1 and ANGPTL3, which were previously implicated in lipoprotein metabolism through classical wet bench approaches. Additionally, many novel genes have been identified as associated with plasma lipid traits by GWAS, though only relatively few have been functionally validated through targeted sequencing and genetic manipulation in cells and animals. These types of studies have defined new roles in lipid metabolism for the novel lipid genes SORT1 and TRIB1. These examples demonstrate the ways in which human genetics can validate candidate genes, as well as provide a novel discovery that requires functional validation at the bench, and point towards a more complete understanding of the molecular physiology of lipoprotein metabolism. Summary This review summarizes recent developments in the use of human genetics to validate candidate genes in lipoprotein metabolism as well as in the functional validation of novel GWAS loci associated with plasma lipid traits.