An exome array study of the plasma metabolome

Several GWAS have identified many common variants associated with blood metabolites. Here, the authors use an exome array to identify low frequency, potentially functional variants that impact human metabolism.

Guardado en:
Detalles Bibliográficos
Autores principales: Eugene P. Rhee, Qiong Yang, Bing Yu, Xuan Liu, Susan Cheng, Amy Deik, Kerry A. Pierce, Kevin Bullock, Jennifer E. Ho, Daniel Levy, Jose C. Florez, Sek Kathiresan, Martin G. Larson, Ramachandran S. Vasan, Clary B. Clish, Thomas J. Wang, Eric Boerwinkle, Christopher J. O’Donnell, Robert E. Gerszten
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2016
Materias:
Q
Acceso en línea:https://doaj.org/article/2656afb9eb474ee0a0e2803a09511c00
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
Descripción
Sumario:Several GWAS have identified many common variants associated with blood metabolites. Here, the authors use an exome array to identify low frequency, potentially functional variants that impact human metabolism.