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A Genome-Wide Association Study Identifies LIPA as a Susceptibility Gene for Coronary Artery Disease
Author(s) -
Philipp S. Wild,
Tanja Zeller,
Arne Schillert,
Silke Szymczak,
Christoph Sinning,
Arne Deiseroth,
Renate B. Schnabel,
Edith Lubos,
Till Keller,
Medea Eleftheriadis,
Christoph Bickel,
Hans J. Rupprecht,
Sandra Wilde,
Heidi Rossmann,
Patrick Diemert,
L. Adrienne Cupples,
Claire Perret,
Jeanette Erdmann,
Klaus Stark,
Marcus E. Kleber,
Stephen E. Epstein,
Benjamin F. Voight,
Kari Kuulasmaa,
Mingyao Li,
Arne Schäfer,
Norman Klopp,
Peter S. Braund,
Hendrik B. Sager,
Serkalem Demissie,
Carole Proust,
Inke R. König,
H.-Erich Wichmann,
Wibke Reinhard,
Michael M. Hoffmann,
Jarmo Virtamo,
Mary Susan Burnett,
David S. Siscovick,
Per Wiklund,
Liming Qu,
Nour Eddine El Mokthari,
John R. Thompson,
Annette Peters,
Albert V. Smith,
Emmanuelle Yon,
Jens Baumert,
Christian Hengstenberg,
Winfried März,
Philippe Amouyel,
Joseph M. Devaney,
Stephen M. Schwartz,
Olli Saarela,
Nehal N. Mehta,
Deborah C. Rubin,
Kaisa Silander,
Alistair S. Hall,
Jean Ferrières,
Tamara B. Harris,
Olle Melander,
Frank Kee,
Hákon Hákonarson,
Juergen Schrezenmeir,
Vilmundur Guðnason,
Roberto Elosúa,
Dominique Arveiler,
Alun Evans,
Daniel J. Rader,
Thomas Illig,
Stefan Schreiber,
Joshua C. Bis,
David Altshuler,
Maryam Kavousi,
J. C. M. Witteman,
André G. Uitterlinden,
Albert Hofman,
Aaron R. Folsom,
Maja Barbalić,
Eric Boerwinkle,
Sekar Kathiresan,
Muredach P. Reilly,
Christopher J. O’Donnell,
Nilesh J. Samani,
Heribert Schunkert,
François Cambien,
Karl J. Lackner,
Laurence Tiret,
Veikko Salomaa,
Thomas Münzel,
Andreas Ziegler,
Stefan Blankenberg
Publication year - 2011
Publication title -
circulation cardiovascular genetics
Language(s) - English
Resource type - Journals
eISSN - 1942-325X
pISSN - 1942-3268
DOI - 10.1161/circgenetics.110.958728
Subject(s) - single nucleotide polymorphism , genome wide association study , expression quantitative trait loci , locus (genetics) , genetics , biology , genetic association , gene , odds ratio , coronary artery disease , genotype , medicine
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).

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