Genetic regulation of serum phytosterol levels and risk of coronary artery disease

Abstract:

BACKGROUND\backslashr\backslashnPhytosterols are plant-derived sterols that are taken up from food and can serve as biomarkers of cholesterol uptake. Serum levels are under tight genetic control. We used a genomic approach to study the molecular regulation of serum phytosterol levels and potential links to coronary artery disease (CAD).\backslashr\backslashnMETHODS AND RESULTS\backslashr\backslashnA genome-wide association study for serum phytosterols (campesterol, sitosterol, brassicasterol) was conducted in a population-based sample from KORA (Cooperative Research in the Region of Augsburg) (n=1495) with subsequent replication in 2 additional samples (n=1157 and n=1760). Replicated single-nucleotide polymorphisms (SNPs) were tested for association with premature CAD in a metaanalysis of 11 different samples comprising 13 764 CAD cases and 13 630 healthy controls. Genetic variants in the ATP-binding hemitransporter ABCG8 and at the blood group ABO locus were significantly associated with serum phytosterols. Effects in ABCG8 were independently related to SNPs rs4245791 and rs41360247 (combined P=1.6 x 10(-50) and 6.2 x 10(-25), respectively; n=4412). Serum campesterol was elevated 12% for each rs4245791 T-allele. The same allele was associated with 40% decreased hepatic ABCG8 mRNA expression (P=0.009). Effects at the ABO locus were related to SNP rs657152 (combined P=9.4x10(-13)). Alleles of ABCG8 and ABO associated with elevated phytosterol levels displayed significant associations with increased CAD risk (rs4245791 odds ratio, 1.10; 95% CI, 1.06 to 1.14; P=2.2 x 10(-6); rs657152 odds ratio, 1.13; 95% CI, 1.07 to 1.19; P=9.4 x 10(-6)), whereas alleles at ABCG8 associated with reduced phytosterol levels were associated with reduced CAD risk (rs41360247 odds ratio, 0.84; 95% CI, 0.78 to 0.91; P=1.3 x 10(-5)).\backslashr\backslashnCONCLUSION\backslashr\backslashnCommon variants in ABCG8 and ABO are strongly associated with serum phytosterol levels and show concordant and previously unknown associations with CAD.

DOI: 10.1161/CIRCGENETICS.109.907873

Projects: Genetical Statistics and Systems Biology

Publication type: Journal article

Journal: Circulation. Cardiovascular genetics

Human Diseases: No Human Disease specified

Citation: Circ Cardiovasc Genet 3(4):331-339

Date Published: 1st Aug 2010

Registered Mode: imported from a bibtex file

Authors: Daniel Teupser, Ronny Baber, Uta Ceglarek, Markus Scholz, Thomas Illig, Christian Gieger, Lesca Miriam Holdt, Alexander Leichtle, Karin H. Greiser, Dominik Huster, Patrick Linsel-Nitschke, Arne Schäfer, Peter S. Braund, Laurence Tiret, Klaus Stark, Dorette Raaz-Schrauder, Georg M. Fiedler, Wolfgang Wilfert, Frank Beutner, Stephan Gielen, Anika Grosshennig, Inke R. König, Peter Lichtner, Iris M. Heid, Alexander Kluttig, Nour E El Mokhtari, Diana Rubin, Arif B. Ekici, André Reis, Christoph D. Garlichs, Alistair S. Hall, Gert Matthes, Christian Wittekind, Christian Hengstenberg, Francois Cambien, Stefan Schreiber, Karl Werdan, Thomas Meitinger, Markus Loeffler, Nilesh J. Samani, Jeanette Erdmann, Heinz-Erich Wichmann, Heribert Schunkert, Joachim Thiery

Help
help Submitter
Citation
Teupser, D., Baber, R., Ceglarek, U., Scholz, M., Illig, T., Gieger, C., Holdt, L. M., Leichtle, A., Greiser, K. H., Huster, D., Linsel-Nitschke, P., Schäfer, A., Braund, P. S., Tiret, L., Stark, K., Raaz-Schrauder, D., Fiedler, G. M., Wilfert, W., Beutner, F., … Thiery, J. (2010). Genetic Regulation of Serum Phytosterol Levels and Risk of Coronary Artery Disease. In Circulation: Cardiovascular Genetics (Vol. 3, Issue 4, pp. 331–339). Ovid Technologies (Wolters Kluwer Health). https://doi.org/10.1161/circgenetics.109.907873
Activity

Views: 776

Created: 14th Sep 2020 at 13:13

Last updated: 7th Dec 2021 at 17:58

help Tags

This item has not yet been tagged.

help Attributions

None

Related items

Powered by
(v.1.13.0-master)
Copyright © 2008 - 2021 The University of Manchester and HITS gGmbH
Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig

By continuing to use this site you agree to the use of cookies