Molecular insights into genome-wide association studies of chronic kidney disease-defining traits

The molecular mechanisms that underlie associations in GWAS, incl. chronic kidney disease (CKD), are largely unknown. Here, the authors perform an integrative analysis of genetic, transcriptomic and epigenomic data from human kidney to pinpoint plausible molecular pathways of CKD genetic association...

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Autores principales: Xiaoguang Xu, James M. Eales, Artur Akbarov, Hui Guo, Lorenz Becker, David Talavera, Fehzan Ashraf, Jabran Nawaz, Sanjeev Pramanik, John Bowes, Xiao Jiang, John Dormer, Matthew Denniff, Andrzej Antczak, Monika Szulinska, Ingrid Wise, Priscilla R. Prestes, Maciej Glyda, Pawel Bogdanski, Ewa Zukowska-Szczechowska, Carlo Berzuini, Adrian S. Woolf, Nilesh J. Samani, Fadi J. Charchar, Maciej Tomaszewski
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/0f05abda617a4890b8ef1af84fc59d19
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Sumario:The molecular mechanisms that underlie associations in GWAS, incl. chronic kidney disease (CKD), are largely unknown. Here, the authors perform an integrative analysis of genetic, transcriptomic and epigenomic data from human kidney to pinpoint plausible molecular pathways of CKD genetic associations.