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Prediction of Causal Candidate Genes in Coronary Artery Disease Loci
Author(s) -
Ingrid Brænne,
Mete Civelek,
Baiba Vilne,
Antonio Di Narzo,
Andrew D. Johnson,
Yuqi Zhao,
Benedikt Reiz,
Veronica Codoni,
Tom R. Webb,
Hassan Foroughi Asl,
Stephen E. Hamby,
Lingyao Zeng,
DavidAlexandre Trégouët,
Ke Hao,
Eric J. Topol,
Eric E. Schadt,
Xia Yang,
Nilesh J. Samani,
Johan Björkegren,
Jeanette Erdmann,
Heribert Schunkert,
Aldons J. Lusis
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.115.306108
Subject(s) - genetics , biology , gene , candidate gene , single nucleotide polymorphism , quantitative trait locus , genetic association , expression quantitative trait loci , genome wide association study , genome , coronary artery disease , computational biology , genotype , medicine , psychiatry
Genome-wide association studies have to date identified 159 significant and suggestive loci for coronary artery disease (CAD). We now report comprehensive bioinformatics analyses of sequence variation in these loci to predict candidate causal genes.

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