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

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Date

2015-02-10

Author

Yao, Chen
Chen, Brian H.
Joehanes, Roby
Otlu, Burcak
Zhang, Xiaoling
Liu, Chunyu
Huan, Tianxiao
Tastan, Oznur
Cupples, L. Adrienne
Meigs, James B.
Fox, Caroline S.
Freedman, Jane E.
Courchesne, Paul
O'Donnell, Christopher J.
Munson, Peter J.
Keles, Sunduz
Levy, Daniel

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Background-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.

Subject Keywords

Physiology (medical), Cardiology and Cardiovascular Medicine

URI

https://hdl.handle.net/11511/68612

Journal

CIRCULATION

DOI

https://doi.org/10.1161/circulationaha.114.010696

Collections

Department of Chemical Engineering, Article

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Citation Formats

C. Yao et al., “Integromic Analysis of Genetic Variation and Gene Expression Identifies Networks for Cardiovascular Disease Phenotypes,” CIRCULATION, pp. 536–746, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/68612.