A cell-type deconvolution meta-analysis of whole blood EWAS reveals lineage-specific smoking-associated DNA methylation changes
Smoking-associated DNA methylation changes in whole blood have been reported by many EWAS. Here, the authors use a cell-type deconvolution algorithm to identify cell-type specific DNA methylation signals in seven EWAS, identifying lineage-specific smoking-associated DNA methylation changes.
Guardado en:
Autores principales: | Chenglong You, Sijie Wu, Shijie C. Zheng, Tianyu Zhu, Han Jing, Ken Flagg, Guangyu Wang, Li Jin, Sijia Wang, Andrew E. Teschendorff |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2020
|
Materias: | |
Acceso en línea: | https://doaj.org/article/d35fa67c57af48bc9a217686903a42d6 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Pan-cancer deconvolution of tumour composition using DNA methylation
por: Ankur Chakravarthy, et al.
Publicado: (2018) -
Ewa Thompson, "Zrozumieć Rosję. Święte szaleństwo w kulturze rosyjskiej"
por: Paweł Rojek
Publicado: (2020) -
Two-stage, in silico deconvolution of the lymphocyte compartment of the peripheral whole blood transcriptome in the context of acute kidney allograft rejection.
por: Casey P Shannon, et al.
Publicado: (2014) -
Author Correction: Pan-cancer deconvolution of tumour composition using DNA methylation
por: Ankur Chakravarthy, et al.
Publicado: (2018) -
The relationship of smoking to cg05575921 methylation in blood and saliva DNA samples from several studies
por: Kelsey Dawes, et al.
Publicado: (2021)