Genetic architecture of circulating lipid levels

Ayse Demirkan, Najaf Amin, Aaron Isaacs, MR Jarvelin, JB Whitfield, HE Wichmann, KO Kyvik, I Rudan, C Gieger, AA Hicks, A Johansson, JJ (Jouke Jan) Hottenga, JJ Smith, SH Wild, NL Pedersen, G Willemsen, M Mangino, C Hayward, André Uitterlinden, Bert HofmanJCM Witteman, GW Montgomery, KH Pietilainen, T Rantanen, J Kaprio, A Doring, PP Pramstaller, U Gyllensten, EJC de Geus, BW Penninx, JF Wilson, F Rivadeneria, PKE Magnusson, DI Boomsma, T Spector, H Campbell, B Hoehne, NG Martin, Ben Oostra, M McCarthy, L Peltonen-Palotie, Yuriy Aulchenko, PM Visscher, S Ripatti, Cecile Janssens, Cornelia Duijn

Research output: Contribution to journalArticleAcademicpeer-review

17 Citations (Scopus)

Abstract

Serum concentrations of low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides (TGs) and total cholesterol (TC) are important heritable risk factors for cardiovascular disease. Although genome-wide association studies (GWASs) of circulating lipid levels have identified numerous loci, a substantial portion of the heritability of these traits remains unexplained. Evidence of unexplained genetic variance can be detected by combining multiple independent markers into additive genetic risk scores. Such polygenic scores, constructed using results from the ENGAGE Consortium GWAS on serum lipids, were applied to predict lipid levels in an independent population-based study, the Rotterdam Study-II (RS-II). We additionally tested for evidence of a shared genetic basis for different lipid phenotypes. Finally, the polygenic score approach was used to identify an alternative genome-wide significance threshold before pathway analysis and those results were compared with those based on the classical genome-wide significance threshold. Our study provides evidence suggesting that many loci influencing circulating lipid levels remain undiscovered. Cross-prediction models suggested a small overlap between the polygenic backgrounds involved in determining LDL-C, HDL-C and TG levels. Pathway analysis utilizing the best polygenic score for TC uncovered extra information compared with using only genome-wide significant loci. These results suggest that the genetic architecture of circulating lipids involves a number of undiscovered variants with very small effects, and that increasing GWAS sample sizes will enable the identification of novel variants that regulate lipid levels. European Journal of Human Genetics (2011) 19, 813-819; doi:10.1038/ejhg.2011.21; published online 30 March 2011
Original languageUndefined/Unknown
Pages (from-to)813-819
Number of pages7
JournalEuropean Journal of Human Genetics
Volume19
Issue number7
DOIs
Publication statusPublished - 2011

Research programs

  • EMC MGC-02-96-01
  • EMC MM-01-25-01
  • EMC MM-01-39-09-A
  • EMC NIHES-01-64-01
  • EMC NIHES-01-64-02

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