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

In English

Författare

  • 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
Visa allt

Summary, in English

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.

Publiceringsår

2015

Språk

Engelska

Sidor

589-597

Publikation/Tidskrift/Serie

Nature Genetics

Volym

47

Issue

6

Dokumenttyp

Artikel i tidskrift

Förlag

Nature Publishing Group

Ämne

  • Endocrinology and Diabetes

Status

Published

Forskningsgrupp

  • Genomics, Diabetes and Endocrinology

ISBN/ISSN/Övrigt

  • ISSN: 1546-1718