R help - Nov 2018 - how to read association of variable in multiple outcomes using MCMCMGLMM

Dear all,
 I am? using package MCMCglmm and I would like to request for an
assistant on? what
to look? ?in the output which can tell me? whether there is
significant? association among the three antibody
titers(logiga,logigm,logigg)? for example association between antibody
titers and exposure I can look at pMCMC and confidence interval if
pMCMC is less than 0.05 then? the association is significant and this
is clearly explained in  mcmcglmm course notes but for association between
outcome variables? is not clearly stated on how one can tell whether
there is significant association between the outcome variable. Please
help me, I have been looking for this answer on internet for? month
now and I tried to simulate the data just to learn the interpretation
but I could not make sense of the output.

here is the model:
m1<- MCMCglmm(cbind(logiga,logigm,logigg) ~1+trait:exposure, random
~us(trait):ptid,
? ? ? ? ? ? ? ? rcov = ~idh(trait):units, family = c("gaussian",
"gaussian","gaussian"),
? ? ? ? ? ? ? ? data = dat, prior = pri, verbose = FALSE)


summary(m1)
Iterations = 3001:12991
?Thinning interval? = 10
?Sample size? = 1000

?DIC: 772.0578

?G-structure:? ~us(trait):ptid

? ? ? ? ? ? ? ? ? ? ? ? ? ? ?post.mean l-95% CI u-95% CI eff.samp
traitlogiga:traitlogiga.ptid? ?0.26776? 0.14159? 0.43126? ? 906.8
traitlogigm:traitlogiga.ptid? -0.16155 -0.26484 -0.06026? ?1000.0
traitlogigg:traitlogiga.ptid? -0.01804 -0.09317? 0.05087? ? 872.0
traitlogiga:traitlogigm.ptid? -0.16155 -0.26484 -0.06026? ?1000.0
traitlogigm:traitlogigm.ptid? ?0.34228? 0.14773? 0.54208? ? 834.4
traitlogigg:traitlogigm.ptid? ?0.06099 -0.03872? 0.16586? ? 855.3
traitlogiga:traitlogigg.ptid? -0.01804 -0.09317? 0.05087? ? 872.0
traitlogigm:traitlogigg.ptid? ?0.06099 -0.03872? 0.16586? ? 855.3
traitlogigg:traitlogigg.ptid? ?0.14241? 0.08026? 0.23024? ?1000.0

?R-structure:? ~idh(trait):units

? ? ? ? ? ? ? ? ? post.mean l-95% CI u-95% CI eff.samp
traitlogiga.units? ?0.09538? 0.07516? ?0.1181? ? ?1000
traitlogigm.units? ?0.37488? 0.28979? ?0.4623? ? ?1000
traitlogigg.units? ?0.17954? 0.13917? ?0.2199? ? ?1126

?Location effects: cbind(logiga, logigm, logigg) ~ 1 + trait:exposure

? ? ? ? ? ? ? ? ? ? ?post.mean l-95% CI u-95% CI eff.samp? pMCMC
(Intercept)? ? ? ? ? ? 1.35329? 1.21504? 1.48696? ? 799.8 <0.001 ***
traitlogiga:exposure? ?0.09773 -0.07234? 0.30338? ?1000.0? 0.322
traitlogigm:exposure? ?0.60556? 0.26668? 0.97050? ?1000.0 <0.001 ***
traitlogigg:exposure? ?0.22682 -0.01893? 0.49654? ?1000.0? 0.090 .