Correction for both common and rare cell types in blood is important to identify genes that correlate with age
Damiano Pellegrino-Coppola, Annique Claringbould, Maartje D. Stutvoet, Dorret Irene Boomsma, M. Arfan Ikram, P. Eline Slagboom, Harm-Jan Westra, Lude Franke
The paper compares two models for correcting cell type composition in blood gene expression data, finding that accounting for more cell types reduces the number of age-associated genes and highlights platelet-related pathways.
BMC Genomics · Mar 15, 2021Peer-reviewedBioinformatics