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Demirkan, A.* ; Amin, N.* ; Isaacs, A.* ; Jarvelin, M.R.* ; Whitfield, JB.* ; Wichmann, H.-E. ; Kyvik, K.O.* ; Rudan, I.* ; Gieger, C. ; Hicks, A.A.* ; Johansson, A.* ; Hottenga, J.J.* ; Smith, J.J.* ; Wild, S.H.* ; Pedersen, N.L.* ; Willemsen, G.* ; Mangino, M.* ; Hayward, C.* ; Uitterlinden, A.G.* ; Hofman, A.* ; Witteman, J.* ; Montgomery, G.W.* ; Pietiläinen, K.H.* ; Rantanen, T.* ; Kaprio, J.* ; Döring, A. ; Pramstaller, P.P.* ; Gyllensten, U.* ; de Geus, E.J.* ; Penninx, B.W.* ; Wilson, J.F.* ; Rivadeneira, F.* ; Magnusson, P.K.* ; Boomsma, D.I.* ; Spector, T.* ; Campbell, H.* ; Hoehne, B. ; Martin, N.G.* ; Oostra, B.A.* ; McCarthy, M.* ; Peltonen-Palotie, L.* ; Aulchenko, Y.* ; Visscher, P.M.* ; Ripatti, S.* ; Janssens, A.C.* ; van Duijn, C.M.* ; ENGAGE Consortium (*)

Genetic architecture of circulating lipid levels.

Eur. J. Hum. Genet. 19, 813-819 (2011)
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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.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Serum lipids; polygenic; genome-wide association; polygenic score; pathway analysis
Language english
Publication Year 2011
HGF-reported in Year 2011
ISSN (print) / ISBN 1018-4813
e-ISSN 1476-5438
Journal European Journal of Human Genetics
Quellenangaben Volume: 19, Issue: 7, Pages: 813-819 Article Number: , Supplement: ,
Publisher Nature Publishing Group
Reviewing status Peer reviewed
Institute(s) Institute of Genetic Epidemiology (IGE)
Institute of Epidemiology (EPI)
POF-Topic(s) 30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
30503 - Chronic Diseases of the Lung and Allergies
Research field(s) Genetics and Epidemiology
PSP Element(s) G-504100-001
G-503900-001
PubMed ID 21448234
DOI 10.1038/ejhg.2011.21
Scopus ID 79959224713
Erfassungsdatum 2011-08-12
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