Variants with large effects on blood lipids and the role of cholesterol and triglycerides in coronary disease View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-06

AUTHORS

Anna Helgadottir, Solveig Gretarsdottir, Gudmar Thorleifsson, Eirikur Hjartarson, Asgeir Sigurdsson, Audur Magnusdottir, Aslaug Jonasdottir, Helgi Kristjansson, Patrick Sulem, Asmundur Oddsson, Gardar Sveinbjornsson, Valgerdur Steinthorsdottir, Thorunn Rafnar, Gisli Masson, Ingileif Jonsdottir, Isleifur Olafsson, Gudmundur I Eyjolfsson, Olof Sigurdardottir, Maryam S Daneshpour, Davood Khalili, Fereidoun Azizi, Dorine W Swinkels, Lambertus Kiemeney, Arshed A Quyyumi, Allan I Levey, Riyaz S Patel, Salim S Hayek, Ingibjorg J Gudmundsdottir, Gudmundur Thorgeirsson, Unnur Thorsteinsdottir, Daniel F Gudbjartsson, Hilma Holm, Kari Stefansson

ABSTRACT

Sequence variants affecting blood lipids and coronary artery disease (CAD) may enhance understanding of the atherogenicity of lipid fractions. Using a large resource of whole-genome sequence data, we examined rare and low-frequency variants for association with non-HDL cholesterol, HDL cholesterol, LDL cholesterol, and triglycerides in up to 119,146 Icelanders. We discovered 13 variants with large effects (within ANGPTL3, APOB, ABCA1, NR1H3, APOA1, LIPC, CETP, LDLR, and APOC1) and replicated 14 variants. Five variants within PCSK9, APOA1, ANGPTL4, and LDLR associate with CAD (33,090 cases and 236,254 controls). We used genetic risk scores for the lipid fractions to examine their causal relationship with CAD. The non-HDL cholesterol genetic risk score associates most strongly with CAD (P = 2.7 × 10(-28)), and no other genetic risk score associates with CAD after accounting for non-HDL cholesterol. The genetic risk score for non-HDL cholesterol confers CAD risk beyond that of LDL cholesterol (P = 5.5 × 10(-8)), suggesting that targeting atherogenic remnant cholesterol may reduce cardiovascular risk. More... »

PAGES

634-639

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/ng.3561

DOI

http://dx.doi.org/10.1038/ng.3561

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1002276775

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27135400


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