Integromic Analysis of Genetic Variation and Gene Expression Identifies Networks for Cardiovascular Disease Phenotypes | Zendy

Chen Yao | Zendy; Brian H. Chen | Zendy; Roby Joehanes | Zendy; Burçak Otlu | Zendy; Xiaoling Zhang | Zendy; Chunyu Liu | Zendy; Tianxiao Huan | Zendy; Öznur Taştan | Zendy; L. Adrienne Cupples | Zendy; James B. Meigs | Zendy; Caroline S. Fox | Zendy; Jane E. Freedman | Zendy; Paul Courchesne | Zendy; Christopher J. O’Donnell | Zendy; Peter J. Munson | Zendy; Sündüz Keleş | Zendy; Daniel Levy | Zendy

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Integromic Analysis of Genetic Variation and Gene Expression Identifies Networks for Cardiovascular Disease Phenotypes

Author(s) -

Chen Yao,

Brian H. Chen,

Roby Joehanes,

Burçak Otlu,

Xiaoling Zhang,

Chunyu Liu,

Tianxiao Huan,

Öznur Taştan,

L. Adrienne Cupples,

James B. Meigs,

Caroline S. Fox,

Jane E. Freedman,

Paul Courchesne,

Christopher J. O’Donnell,

Peter J. Munson,

Sündüz Keleş,

Daniel Levy

Publication year - 2014

Publication title -

circulation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 7.795

H-Index - 607

eISSN - 1524-4539

pISSN - 0009-7322

DOI - 10.1161/circulationaha.114.010696

Subject(s) - expression quantitative trait loci , single nucleotide polymorphism , snp , genome wide association study , genetics , genetic association , phenotype , quantitative trait locus , biology , gene , genotype

Cardiovascular disease (CVD) reflects a highly coordinated complex of traits. Although genome-wide association studies have reported numerous single nucleotide polymorphisms (SNPs) to be associated with CVD, the role of most of these variants in disease processes remains unknown.

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