Table 2

ACE model parameter estimates for concordant ASD and TD twin pairs*

ParameterASDTDASDTDASDTD
a2 (95% CI)p valuea2 (95% CI)p valuec2 (95% CI)p valuec2 (95% CI)p valuee2 (95% CI)e2 (95% CI)
Cortical
 ACC white matter volume0.97 (0.80 to 1.14)< 0.0010.42 (0.08 to 0.77)0.02xxxx0.03 (−0.14 to 0.20)0.58 (0.23 to 0.92)
 ACC grey matter area0.95 (0.79 to 1.10)< 0.001xxxx0.05 (−0.10 to 0.21)
 ACC grey matter thicknessxx0.77 (0.52 to 1.01)< 0.0010.44 (0.22 to 0.66)< 0.001xx0.56 (0.34 to 0.78)0.23 (−0.01 to 0.48)
 OFC white matter volume0.65 (0.30 to 1.01)< 0.001xxxx0.35 (−0.01 to 0.70)
 OFC grey matter area0.73 (0.40 to 1.06)< 0.001xxxx0.27 (−0.06 to 0.27)
 OFC grey matter thicknessxx0.56 (0.27 to 0.85)< 0.0010.60 (0.25 to 0.95)< 0.001xx0.40 (0.05 to 0.75)0.44 (0.15 to 0.73)
Striatal
 Caudate grey matter volume0.89 (0.69 to 1.08)< 0.0010.64 (0.33 to 0.95)< 0.001xxxx0.11 (−0.08 to 0.21)0.36 (0.05 to 0.67)
 Putamen grey matter volume0.81 (0.57 to 1.06)< 0.0010.75 (0.58 to 0.92)< 0.001xxxx0.19 (−0.06 to 0.43)0.25 (0.08 to 0.42)
 Pallidum grey matter volume0.66 (0.32 to 1.00)< 0.0010.59 (0.31 to 0.86)< 0.001xxxx0.34 (0.00 to 0.68)0.41 (0.14 to 0.69)
Thalamic
 Thalamus grey matter volume0.87 (0.70 to 1.05)< 0.001xxxx0.13 (−0.05 to 0.30)
  • a2 = additive genetics; ACC = anterior cingulate cortex; ASD = autism-spectrum disorder; c2 = common or shared family environment; CI = confidence interval; e2 = unique or nonshared environment; TD = typically developing controls.

  • * We calculated ACE models for broad sense heritability separately for twin pairs in which both twins were diagnosed with ASD (monozygotic n = 30 twins/15 pairs; dizygotic n = 30 twins/15 pairs) or were TD controls (monozygotic n = 40 twins/20 pairs; dizygotic n = 28 twins/14 pairs), based on Falconer’s formula45 using a bootstrapping method to calculate estimates across 1000 repetitions. Twin pairs discordant for ASD were excluded. When A or C was nonsignificant in the model (x), we used a constrained AE or CE model. When model assumptions were violated, we did not generate model estimates, but the missing model parameters that would have been most appropriate based on intra-class correlation coefficients are indicated (—). Model parameters sum to 1, and E estimates were not tested for significance because they were based on the residual variation that had not yet been accounted for in the model.

  • Significant model parameter at false discovery rate46 correction across the estimates in each column.