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

Genome Biology

Volumn 18, Issue 1, 2017, Pages

  McGregor, Kevin ^a,b   Labbe, Aurélie ^c   Greenwood, Celia M T ^a,b  

^a MCGILL UNIVERSITY   (Canada)

^b MCGILL UNIVERSITY   (Canada)

^c HEC MONTRÉAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMED CENTRAL; DNA METHYLATION; EMPIRICISM; STATISTICAL MODEL; WRITING;

DNA METHYLATION;

EID: 85011096670     PISSN: 14747596     EISSN: 1474760X     Source Type: Journal    
DOI: 10.1186/s13059-017-1149-7     Document Type: Letter

References (3)

1. Hattab MW, Shabalin AA, Clark SL, Zhao M, Kumar G, Chan RF, et al. Correcting for cell-type effects in DNA methylation studies: reference-based method outperforms latent variable approaches in empirical studies. Genome Biol. 2016. doi: 10.1186/s13059-017-1148-8.
2. Aberg KA, McClay JL, Nerella S, Clark S, Kumar G, Chen W, et al. Methylome-wide association study of schizophrenia: identifying blood biomarker signatures of environmental insults. JAMA Psychiat. 2014;71:255-64.
3. Efron B. Large-scale simultaneous hypothesis testing: the choice of a null hypothesis. JASA. 2004;99:96-104.