Systems Genetics Analysis of Genome-Wide Association Study Reveals Novel Associations Between Key Biological Processes and Coronary Artery Disease | Zendy

Sujoy Ghosh | Zendy; Juan C. Vivar | Zendy; Christopher P. Nelson | Zendy; Christina Willenborg | Zendy; Ayellet V. Segrè | Zendy; VillePetteri Mäkinen | Zendy; Majid Nikpay | Zendy; Jeanette Erdmann | Zendy; Stefan Blankenberg | Zendy; Christopher J. O’Donnell | Zendy; Winfried März | Zendy; Reijo Laaksonen | Zendy; Alexandre F.R. Stewart | Zendy; Stephen E. Epstein | Zendy; Svati H. Shah | Zendy; Christopher B. Granger | Zendy; Stanley L. Hazen | Zendy; Sekar Kathiresan | Zendy; Muredach P. Reilly | Zendy; Xia Yang | Zendy; Thomas Quertermous | Zendy; Nilesh J. Samani | Zendy; Heribert Schunkert | Zendy; Themistocles L. Assimes | Zendy; Ruth McPherson | Zendy

Open Access

Systems Genetics Analysis of Genome-Wide Association Study Reveals Novel Associations Between Key Biological Processes and Coronary Artery Disease

Author(s) -

Sujoy Ghosh,

Juan C. Vivar,

Christopher P. Nelson,

Christina Willenborg,

Ayellet V. Segrè,

VillePetteri Mäkinen,

Majid Nikpay,

Jeanette Erdmann,

Stefan Blankenberg,

Christopher J. O’Donnell,

Winfried März,

Reijo Laaksonen,

Alexandre F.R. Stewart,

Stephen E. Epstein,

Svati H. Shah,

Christopher B. Granger,

Stanley L. Hazen,

Sekar Kathiresan,

Muredach P. Reilly,

Xia Yang,

Thomas Quertermous,

Nilesh J. Samani,

Heribert Schunkert,

Themistocles L. Assimes,

Ruth McPherson

Publication year - 2015

Publication title -

arteriosclerosis thrombosis and vascular biology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.007

H-Index - 270

eISSN - 1524-4636

pISSN - 1079-5642

DOI - 10.1161/atvbaha.115.305513

Subject(s) - genome wide association study , biology , genetic association , coronary artery disease , genetics , computational biology , gene regulatory network , kegg , biological pathway , systems biology , gene , biological network , bioinformatics , single nucleotide polymorphism , medicine , transcriptome , gene expression , genotype

Genome-wide association studies have identified multiple genetic variants affecting the risk of coronary artery disease (CAD). However, individually these explain only a small fraction of the heritability of CAD and for most, the causal biological mechanisms remain unclear. We sought to obtain further insights into potential causal processes of CAD by integrating large-scale GWA data with expertly curated databases of core human pathways and functional networks.

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