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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
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 |
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