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The impact of low-frequency and rare variants on lipid levels

  • Ida Surakka
  • , Momoko Horikoshi
  • , Reedik Mägi
  • , Antti Pekka Sarin
  • , Anubha Mahajan
  • , Vasiliki Lagou
  • , Letizia Marullo
  • , Teresa Ferreira
  • , Benjamin Miraglio
  • , Sanna Timonen
  • , Johannes Kettunen
  • , Matti Pirinen
  • , Juha Karjalainen
  • , Gudmar Thorleifsson
  • , Sara Hägg
  • , Jouke Jan Hottenga
  • , Aaron Isaacs
  • , Claes Ladenvall
  • , Marian Beekman
  • , Tõnu Esko
  • Janina S. Ried, Christopher P. Nelson, Christina Willenborg, Stefan Gustafsson, Harm Jan Westra, Matthew Blades, Anton J.M. De Craen, Eco J. De Geus, Joris Deelen, Harald Grallert, Anders Hamsten, Aki S. Havulinna, Christian Hengstenberg, Jeanine J. Houwing-Duistermaat, Elina Hyppönen, Lennart C. Karssen, Terho Lehtimäki, Valeriya Lyssenko, Patrik K.E. Magnusson, Evelin Mihailov, Martina Müller-Nurasyid, John Patrick Mpindi, Nancy L. Pedersen, Brenda W.J.H. Penninx, Markus Perola, Tune H. Pers, Annette Peters, Johan Rung, Johannes H. Smit, Valgerdur Steinthorsdottir, Martin D. Tobin, Natalia Tsernikova, Elisabeth M. Van Leeuwen, Jorma S. Viikari, Sara M. Willems, Gonneke Willemsen, Heribert Schunkert, Jeanette Erdmann, Nilesh J. Samani, Jaakko Kaprio, Lars Lind, Christian Gieger, Andres Metspalu, P. Eline Slagboom, Leif Groop, Cornelia M. Van Duijn, Johan G. Eriksson, Antti Jula, Veikko Salomaa, Dorret I. Boomsma, Christine Power, Olli T. Raitakari, Erik Ingelsson, Marjo Riitta Järvelin, Unnur Thorsteinsdottir, Lude Franke, Elina Ikonen, Olli Kallioniemi, Vilja Pietiäinen, Cecilia M. Lindgren, Kari Stefansson, Aarno Palotie, Mark I. McCarthy, Andrew P. Morris, Inga Prokopenko, Samuli Ripatti*
*Corresponding author for this work
  • University of Helsinki
  • National Institute for Health and Welfare
  • University of Oxford
  • University of Tartu
  • University of Ferrara
  • University of Groningen
  • deCODE Genetics
  • Karolinska Institutet
  • Uppsala University
  • University of Amsterdam
  • Erasmus University Rotterdam
  • Centre for Medical Systems Biology
  • Lund University
  • Leiden University
  • Netherlands Consortium for Healthy Ageing
  • Boston Children's Hospital
  • Broad Institute
  • Harvard University
  • Helmholtz Zentrum München - German Research Center for Environmental Health
  • University of Leicester
  • University Hospitals of Leicester NHS Trust
  • University of Lübeck
  • German Centre for Cardiovascular Research
  • German Center for Diabetes Research
  • Atherosclerosis Research Unit
  • Technical University of Munich
  • University College London
  • South Australian Health And Medical Research Institute
  • Adelaide University
  • Fimlab Laboratories
  • Novo Nordisk Foundation
  • Ludwig Maximilian University of Munich
  • VU University Medical Center
  • Wellcome Trust
  • University of Turku
  • University of Tartu
  • Folkhalsan
  • Helsinki University Hospital
  • Imperial College London
  • University of Oulu
  • University of Iceland
  • Minerva Foundation Institute for Medical Research Helsinki
  • Massachusetts General Hospital
  • Oxford University Hospitals NHS Foundation Trust
  • University of Liverpool
  • Hammersmith Hospital

Research output: Contribution to journalArticlepeer-review

Abstract

Using a genome-wide screen of 9.6 million genetic variants achieved through 1000 Genomes Project imputation in 62,166 samples, we identify association to lipid traits in 93 loci, including 79 previously identified loci with new lead SNPs and 10 new loci, 15 loci with a low-frequency lead SNP and 10 loci with a missense lead SNP, and 2 loci with an accumulation of rare variants. In six loci, SNPs with established function in lipid genetics (CELSR2, GCKR, LIPC and APOE) or candidate missense mutations with predicted damaging function (CD300LG and TM6SF2) explained the locus associations. The low-frequency variants increased the proportion of variance explained, particularly for low-density lipoprotein cholesterol and total cholesterol. Altogether, our results highlight the impact of low-frequency variants in complex traits and show that imputation offers a cost-effective alternative to resequencing.

Original languageEnglish
Pages (from-to)589-597
Number of pages9
JournalNature Genetics
Volume47
Issue number6
DOIs
Publication statusPublished - 11 May 2015
Externally publishedYes

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