Correcting for cell-type effects in DNA methylation studies: reference-based method outperforms latent variable approaches in empirical studies

Based on an extensive simulation study, McGregor and colleagues recently recommended the use of surrogate variable analysis (SVA) to control for the confounding effects of cell-type heterogeneity in DNA methylation association studies in scenarios where no cell-type proportions are available. As the...

Descripción completa

Detalles Bibliográficos
Autores principales: Hattab, Mohammad W., Shabalin, Andrey A., Clark, Shaunna L., Zhao, Min, Kumar, Gaurav, Chan, Robin F., Xie, Lin Ying, Jansen, Rick, Han, Laura K. M., Magnusson, Patrik K. E., van Grootheest, Gerard, Hultman, Christina M., Penninx, Brenda W. J. H., Aberg, Karolina A., van den Oord, Edwin J. C. G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Correspondence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5282865/
https://www.ncbi.nlm.nih.gov/pubmed/28137292
http://dx.doi.org/10.1186/s13059-017-1148-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5282865/
https://www.ncbi.nlm.nih.gov/pubmed/28137292
http://dx.doi.org/10.1186/s13059-017-1148-8

Ejemplares similares