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Table 3 Results of the stepwise-CCA algorithm applied to the MAP kinase pathway genes, grouped by exposure-specific model

From: Short-term airborne particulate matter exposure alters the epigenetic landscape of human genes associated with the mitogen-activated protein kinase network: a cross-sectional study

  Weighted coefficients by exposure model  
ID Black Carbon (BC) Sulfates (S) Multi (BCS)
BC 1 0 0.49
S 0 1 −1.08
MKNK2 0.39 0 0
MAPK10 0 0.5 −0.36
MAPK13 0.29 −0.51 0
MAPK6 0.65 0 0
MAPK9 0 0.13 −0.22
MAP2K1 0 0 −0.3
MAP2K5 0 0 0.42
MAP2K6 0 0 0.22
MAP3K11 0 −0.4 0
MAP3K14 0 0 0.37
MAP3K2 −0.25 0 0
MAP3K6 −0.37 0 0
MAP3K7 0 0.41 0
MAP4K1 0 −0.19 0.31
MAP4K3 0.42 0 0
MAP4K4 0 0.57 −0.61
MAPKAPK2 −1.36 0.62 0
MEF2A 0.32 0 0.33
PAK1 0 0 −0.57
RPS6KB1 0 −0.28 0.09
RPS6KB2 0.27 0 0
RPS6KA3 0 −0.33 0
SHC1 0.33 0 0
STAT1 0 −0.49 0.43
TGFB1 0 0.28 0
MYC 0 0 0.23
RELA 0.27 0 0.48
Canonical correlation 0.73 0.73 0.78
P-value* 0.02 0.04 0.05
P-value** 0.04 0.10 0.01
  1. We identified a cluster of 27 MAPK gene hits, and their corresponding weights (as coefficients after 3K permutation tests) are shown. At the bottom of the table, P-values for each model are labeled as either adjusted for all covariates, with two asterisks (**), or for all covariates except blood cell proportions, with one asterisk (*).