| Literature DB >> 25961943 |
Ida Surakka1, Momoko Horikoshi2, Reedik Mägi3, Antti-Pekka Sarin1, Anubha Mahajan4, Vasiliki Lagou2, Letizia Marullo5, Teresa Ferreira4, Benjamin Miraglio6, Sanna Timonen6, Johannes Kettunen1, Matti Pirinen6, Juha Karjalainen7, Gudmar Thorleifsson8, Sara Hägg9, Jouke-Jan Hottenga10, Aaron Isaacs11, Claes Ladenvall12, Marian Beekman13, Tõnu Esko14, Janina S Ried15, Christopher P Nelson16, Christina Willenborg17, Stefan Gustafsson9, Harm-Jan Westra7, Matthew Blades18, Anton J M de Craen19, Eco J de Geus10, Joris Deelen13, Harald Grallert20, Anders Hamsten21, Aki S Havulinna22, Christian Hengstenberg23, Jeanine J Houwing-Duistermaat24, Elina Hyppönen25, Lennart C Karssen26, Terho Lehtimäki27, Valeriya Lyssenko28, Patrik K E Magnusson29, Evelin Mihailov3, Martina Müller-Nurasyid30, John-Patrick Mpindi6, Nancy L Pedersen29, Brenda W J H Penninx31, Markus Perola32, Tune H Pers33, Annette Peters34, Johan Rung35, Johannes H Smit31, Valgerdur Steinthorsdottir8, Martin D Tobin36, Natalia Tsernikova3, Elisabeth M van Leeuwen26, Jorma S Viikari37, Sara M Willems26, Gonneke Willemsen10, Heribert Schunkert23, Jeanette Erdmann17, Nilesh J Samani16, Jaakko Kaprio38, Lars Lind39, Christian Gieger40, Andres Metspalu41, P Eline Slagboom13, Leif Groop42, Cornelia M van Duijn11, Johan G Eriksson43, Antti Jula22, Veikko Salomaa22, Dorret I Boomsma10, Christine Power44, Olli T Raitakari45, Erik Ingelsson46, Marjo-Riitta Järvelin47, Unnur Thorsteinsdottir48, Lude Franke7, Elina Ikonen49, Olli Kallioniemi6, Vilja Pietiäinen6, Cecilia M Lindgren50, Kari Stefansson48, Aarno Palotie51, Mark I McCarthy52, Andrew P Morris53, Inga Prokopenko54, Samuli Ripatti55.
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.Entities:
Mesh:
Year: 2015 PMID: 25961943 PMCID: PMC4757735 DOI: 10.1038/ng.3300
Source DB: PubMed Journal: Nat Genet ISSN: 1061-4036 Impact factor: 38.330