Design of the Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Study | Zendy

Michael Preuß | Zendy; Inke R. König | Zendy; John R. Thompson | Zendy; Jeanette Erdmann | Zendy; Devin Absher | Zendy; Themistocles L. Assimes | Zendy; Stefan Blankenberg | Zendy; Eric Boerwinkle | Zendy; Li Chen | Zendy; L. Adrienne Cupples | Zendy; Alistair S. Hall | Zendy; Eran Halperin | Zendy; Christian Hengstenberg | Zendy; Hilma Hólm | Zendy; Reijo Laaksonen | Zendy; Mingyao Li | Zendy; Winfried März | Zendy; Ruth McPherson | Zendy; Kiran Musunuru | Zendy; Christopher P. Nelson | Zendy; Mary Susan Burnett | Zendy; Stephen E. Epstein | Zendy; Christopher J. O’Donnell | Zendy; Thomas Quertermous | Zendy; Daniel J. Rader | Zendy; Robert Roberts | Zendy; Arne Schillert | Zendy; Kári Stéfansson | Zendy; Alexandre F.R. Stewart | Zendy; Guðmar Þorleifsson | Zendy; Benjamin F. Voight | Zendy; George A. Wells | Zendy; Andreas Ziegler | Zendy; Sekar Kathiresan | Zendy; Muredach P. Reilly | Zendy; Nilesh J. Samani | Zendy; Heribert Schunkert | Zendy

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Design of the Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Study

Author(s) -

Michael Preuß,

Inke R. König,

John R. Thompson,

Jeanette Erdmann,

Devin Absher,

Themistocles L. Assimes,

Stefan Blankenberg,

Eric Boerwinkle,

Li Chen,

L. Adrienne Cupples,

Alistair S. Hall,

Eran Halperin,

Christian Hengstenberg,

Hilma Hólm,

Reijo Laaksonen,

Mingyao Li,

Winfried März,

Ruth McPherson,

Kiran Musunuru,

Christopher P. Nelson,

Mary Susan Burnett,

Stephen E. Epstein,

Christopher J. O’Donnell,

Thomas Quertermous,

Daniel J. Rader,

Robert Roberts,

Arne Schillert,

Kári Stéfansson,

Alexandre F.R. Stewart,

Guðmar Þorleifsson,

Benjamin F. Voight,

George A. Wells,

Andreas Ziegler,

Sekar Kathiresan,

Muredach P. Reilly,

Nilesh J. Samani,

Heribert Schunkert

Publication year - 2010

Publication title -

circulation cardiovascular genetics

Language(s) - English

Resource type - Journals

eISSN - 1942-325X

pISSN - 1942-3268

DOI - 10.1161/circgenetics.109.899443

Subject(s) - genome wide association study , myocardial infarction , coronary artery disease , medicine , genotyping , imputation (statistics) , genetic epidemiology , genetic association , single nucleotide polymorphism , meta analysis , cardiology , epidemiology , bioinformatics , genetics , genotype , biology , gene , machine learning , missing data , computer science

Recent genome-wide association studies (GWAS) of myocardial infarction (MI) and other forms of coronary artery disease (CAD) have led to the discovery of at least 13 genetic loci. In addition to the effect size, power to detect associations is largely driven by sample size. Therefore, to maximize the chance of finding novel susceptibility loci for CAD and MI, the Coronary ARtery DIsease Genome-wide Replication And Meta-analysis (CARDIoGRAM) consortium was formed.

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