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. 2018 Oct 11;13(9):923–940. doi: 10.1080/15592294.2018.1516453

Table 5.

Adjusted structural equation model for the mediated effect of arsenic exposure on birth gestational age through variation of DNAm of CpGs in miR124-3 and MCC in the validation phase (n = 569).

Pathway Effect β Coefficient
P
(95% CIs)
miR124-3      
 log2(water arsenic) → miR124-3 Direct 0.05 (0.01, 0.10) 0.028
MCC      
 log2(water arsenic) → MCC Direct 0.06 (0.03, 0.09) <0.001
 SNP rs1057827 → MCC (reference: AA)      
  G/G Direct 0.53 (0.12, 0.94) 0.011
  A/G Direct 0.11 (−0.06, 0.27) 0.198
Maternal weight gain      
 log2(water arsenic) → Weight gain Direct −0.15 (−0.23, −0.07) <0.001
 Birth type (caesarean vs. vaginal) → Weight gain Direct 0.57 (0.09, 1.09) 0.029
Gestational age      
 log2(water arsenic) → Gestational age Direct −0.08 (−0.14, −0.02) 0.011
miR124-3 → Gestational age Direct −0.29 (−0.50, −0.09) 0.005
MCC → Gestational age Direct −0.17 (−0.44, 0.11) 0.242
 Sex (male vs. female) → Gestational age Direct 0.08 (−0.23, 0.40) 0.600
 Weight gain → Gestational age Direct 0.23 (0.17, 0.30) <0.001
 Birth type (caesarean section vs. vaginal) → Gestational age Direct 0.64 (0.32, 0.95) <0.001
 Maternal education (>primary vs. ≤primary) → Gestational age Direct 0.47 (0.15, 0.80) 0.004
 log2(water arsenic) → Weight gain → Gestational age Indirect −0.04 (−0.06, −0.02) 0.001
 log2(water arsenic) → miR124-3 → Gestational age Indirect −0.02 (−0.03, 0.00) 0.061
 log2(water arsenic) → MCC → Gestational age Indirect −0.01 (−0.03, 0.01) 0.276