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A Genome-Wide Association Study Identifies LIPA as a Susceptibility Gene for Coronary Artery Disease

Authors :
Juergen Schrezenmeir
Heidi Rossmann
Joshua C. Bis
Tanja Zeller
Heinz Erich Wichmann
Sandra Wilde
Jeanette Erdmann
Serkalem Demissie
Wibke Reinhard
Roberto Elosua
Arne Schillert
Vilmundur Gudnason
Albert Hofman
Sekar Kathiresan
Philipp S. Wild
Christoph Bickel
François Cambien
Stefan Schreiber
Mary Susan Burnett
Eric Boerwinkle
Klaus Stark
Nour Eddine El Mokthari
Stefan Blankenberg
Mingyao Li
Veikko Salomaa
Medea S. Eleftheriadis
Marcus E. Kleber
Dominique Arveiler
Alun Evans
Kaisa Silander
Jarmo Virtamo
Michael M. Hoffmann
Arne Schäfer
Andreas Ziegler
Patrick Diemert
Till Keller
Aaron R. Folsom
Peter S. Braund
Annette Peters
Karl J. Lackner
Nehal N. Mehta
Stephen M. Schwartz
Nilesh J. Samani
Inke R. König
Heribert Schunkert
Renate B. Schnabel
Jens Baumert
L. Adrienne Cupples
André G. Uitterlinden
Tamara B. Harris
Muredach P. Reilly
Per-Gunnar Wiklund
Hans J. Rupprecht
Maja Barbalić
Jaqueline C M Witteman
Frank Kee
Jean Ferrières
Edith Lubos
Hendrik B. Sager
David S. Siscovick
Liming Qu
Norman Klopp
Daniel J. Rader
Thomas Münzel
Joseph M. Devaney
Hakon Hakonarson
Benjamin F. Voight
Stephen E. Epstein
Emmanuelle Yon
Albert V. Smith
Silke Szymczak
Claire Perret
Christoph Sinning
Diana Rubin
Maryam Kavousi
David Altshuler
Laurence Tiret
Carole Proust
Christopher J. O'Donnell
John R. Thompson
Winfried März
Olli Saarela
Arne Deiseroth
Thomas Illig
Philippe Amouyel
Christian Hengstenberg
Olle Melander
Kari Kuulasmaa
Alistair S. Hall
Epidemiology
Internal Medicine
Source :
Circulation: Cardiovascular Genetics, Wild, P S, Zeller, T, Schillert, A, Kee, F & Evans, A 2011, ' A genome-wide association study identifies LIPA as a susceptibility gene for coronary artery disease ', Circulation. Cardiovascular genetics, vol. 4, no. 4, pp. 403-412 . https://doi.org/10.1161/CIRCGENETICS.110.958728, Circulation-cardiovascular genetics, 4(4), 403-U203. Lippincott Williams & Wilkins
Publication Year :
2011

Abstract

Background— eQTL analyses are important to improve the understanding of genetic association results. We performed a genome-wide association and global gene expression study to identify functionally relevant variants affecting the risk of coronary artery disease (CAD). Methods and Results— In a genome-wide association analysis of 2078 CAD cases and 2953 control subjects, we identified 950 single-nucleotide polymorphisms (SNPs) that were associated with CAD at P −3 . Subsequent in silico and wet-laboratory replication stages and a final meta-analysis of 21 428 CAD cases and 38 361 control subjects revealed a novel association signal at chromosome 10q23.31 within the LIPA (lysosomal acid lipase A) gene ( P =3.7×10 −8 ; odds ratio, 1.1; 95% confidence interval, 1.07 to 1.14). The association of this locus with global gene expression was assessed by genome-wide expression analyses in the monocyte transcriptome of 1494 individuals. The results showed a strong association of this locus with expression of the LIPA transcript ( P =1.3×10 −96 ). An assessment of LIPA SNPs and transcript with cardiovascular phenotypes revealed an association of LIPA transcript levels with impaired endothelial function ( P =4.4×10 −3 ). Conclusions— The use of data on genetic variants and the addition of data on global monocytic gene expression led to the identification of the novel functional CAD susceptibility locus LIPA , located on chromosome 10q23.31. The respective eSNPs associated with CAD strongly affect LIPA gene expression level, which was related to endothelial dysfunction, a precursor of CAD.

Details

Language :
English
ISSN :
19423268 and 1942325X
Volume :
4
Issue :
4
Database :
OpenAIRE
Journal :
Circulation: Cardiovascular Genetics
Accession number :
edsair.doi.dedup.....94057cbb0f4eae7c4559b33d5db02511
Full Text :
https://doi.org/10.1161/CIRCGENETICS.110.958728