Genome‐wide mapping of plasma protein QTLs identifies putatively causal genes and pathways for cardiovascular disease

Genome‐wide mapping of plasma protein QTLs identifies putatively causal genes and pathways for cardiovascular disease

Genetic variation can influence levels of disease-related plasma proteins and, thus, contribute to the pathogenesis of complex diseases. Here, the authors perform genome-wide QTL analysis for 71 plasma proteins to identify causal proteins for coronary heart disease and provide a molecular QTL browse...

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Autores principales: Chen Yao, George Chen, Ci Song, Joshua Keefe, Michael Mendelson, Tianxiao Huan, Benjamin B. Sun, Annika Laser, Joseph C. Maranville, Hongsheng Wu, Jennifer E. Ho, Paul Courchesne, Asya Lyass, Martin G. Larson, Christian Gieger, Johannes Graumann, Andrew D. Johnson, John Danesh, Heiko Runz, Shih-Jen Hwang, Chunyu Liu, Adam S. Butterworth, Karsten Suhre, Daniel Levy
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
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Science
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Acceso en línea:https://doaj.org/article/cae1352d0a9c4818b111c7a3955ca2ac
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Sumario:Genetic variation can influence levels of disease-related plasma proteins and, thus, contribute to the pathogenesis of complex diseases. Here, the authors perform genome-wide QTL analysis for 71 plasma proteins to identify causal proteins for coronary heart disease and provide a molecular QTL browser.

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