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

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

	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

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 (*).

ISSN: 1476-069X