Discovery and refinement of loci associated with lipid levels

Global Lipids Genetics Consortium, Cristen J Willer, Ellen M Schmidt, Sebanti Sengupta, Gina M Peloso, Stefan Gustafsson, Stavroula Kanoni, Andrea Ganna, Jin Chen, Martin L Buchkovich, Samia Mora, Jacques S Beckmann, Jennifer L Bragg-Gresham, Hsing-Yi Chang, Ayşe Demirkan, Heleen M Den Hertog, Ron Do, Louise A Donnelly, Georg B Ehret, Tõnu EskoMary F Feitosa, Teresa Ferreira, Krista Fischer, Pierre Fontanillas, Ross M Fraser, Daniel F Freitag, Deepti Gurdasani, Kauko Heikkilä, Elina Hyppönen, Aaron Isaacs, Anne U Jackson, Asa Johansson, Toby Johnson, Marika Kaakinen, Johannes Kettunen, Marcus E Kleber, Xiaohui Li, Jian'an Luan, Leo-Pekka Lyytikäinen, Patrik K E Magnusson, Massimo Mangino, Evelin Mihailov, May E Montasser, Jennifer L Bolton, Caroline Hayward, Igor Rudan, Sarah H Wild, James F Wilson, Harry Campbell, Andrew Morris, Jackie F Price

Research output: Contribution to journalArticlepeer-review

Abstract

Levels of low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, triglycerides and total cholesterol are heritable, modifiable risk factors for coronary artery disease. To identify new loci and refine known loci influencing these lipids, we examined 188,577 individuals using genome-wide and custom genotyping arrays. We identify and annotate 157 loci associated with lipid levels at P < 5 x 10(-8), including 62 loci not previously associated with lipid levels in humans. Using dense genotyping in individuals of European, East Asian, South Asian and African ancestry, we narrow association signals in 12 loci. We find that loci associated with blood lipid levels are often associated with cardiovascular and metabolic traits, including coronary artery disease, type 2 diabetes, blood pressure, waist-hip ratio and body mass index. Our results demonstrate the value of using genetic data from individuals of diverse ancestry and provide insights into the biological mechanisms regulating blood lipids to guide future genetic, biological and therapeutic research.
Original languageEnglish
Pages (from-to)1274-83
Number of pages10
JournalNature Genetics
Volume45
Issue number11
DOIs
Publication statusPublished - Nov 2013

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