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. 2018 Nov 29;4(4):535–540. doi: 10.1016/j.ekir.2018.11.017

Table 3.

Estimated genetic and environmental parameters for kidney stones in the Washington State Twin Registry adjusted for age

Estimates of variance components (95% confidence intervals)a Test of model fit
Modelb Additive genetics (A) Common environment (C) Unique environment (E) Δχ2 df ΔP ΔAICc
All twins
ACE 0.52 (0.32–0.59) 0.00 (0.00–0.18) 0.48 (0.41–0.55)
AE 0.52 (0.45–0.59) 0.48 (0.41–0.55) 0.0 1 1.0 −2.0
CE 0.44 (0.37–0.50) 0.56 (0.50–0.63) 17.0 1 <0.05 15.0
Male/Male pairs
ACE 0.57 (0.23–0.68) 0.00 (0.00–0.31) 0.43 (0.32–0.54)
AE 0.57 (0.46–0.68) 0.43 (0.32–0.54) 0.0 1 1.0 −2.0
CE 0.48 (0.37–0.58) 0.52 (0.42–0.63) 8.8 1 <0.05 6.8
Female/Female pairs
ACE 0.46 (0.17–0.56) 0.00 (0.00–0.25) 0.54 (0.44–0.64)
AE 0.46 (0.36–0.56) 0.54 (0.44–0.64) 0.00 1 1.00 −2.0
CE 0.38 (0.29–0.47) 0.62 (0.53–0.71) 8.2 1 <0.05 6.2
a

Proportion of variance explained by additive genetics, common environment, and unique environment according to each model.

b

ACE refers to the model including additive genetics (A), common environment (C), and unique environment (E). AE includes only additive genetics and unique environment, and CE common and unique environment; reduced models are compared with ACE.

c

Akaike’s information criterion (AIC) is a global measure of goodness of fit; best-fitting models are shown in bold.