10.6084/m9.figshare.c.3620078_D4.v1
Andrew Li Yim
Andrew
Li Yim
Nicolette Duijvis
Nicolette
Duijvis
Jing Zhao
Jing
Zhao
Wouter de Jonge
Wouter
de Jonge
Geert D’Haens
Geert
D’Haens
Marcel Mannens
Marcel
Mannens
Adri Mul
Adri
Mul
Anje te Velde
Anje
te Velde
Peter Henneman
Peter
Henneman
Additional file 1: Figure S1. of Peripheral blood methylation profiling of female Crohn’s disease patients
Springer Nature
2016
Crohn’s disease
Inflammatory bowel diseases
Females
DNA methylation
Peripheral blood
Epigenome-wide association study
2016-06-08 05:00:00
Journal contribution
https://springernature.figshare.com/articles/journal_contribution/Additional_file_1_Figure_S1_of_Peripheral_blood_methylation_profiling_of_female_Crohn_s_disease_patients/4391165
Exploratory data analysis of putative biological confounders. a) Variance explained per principal component based on our 450k data (turquoise triangles) versus randomly generated data (red circles). b) Dot-boxplot of the cellular composition as estimated by the Houseman algorithm [22, 23]. c) Pearson correlation coefficient (R2) of each blood cell proportion with the principal components. The statistically significant correlations are indicated in turquoise, whereas statistically non-significant associations are indicated in red. Similar correlations were calculated for d) age and e) anti-TNF usage. (PDF 119 kb)