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. 2011 Dec;1(6):447–459. doi: 10.1089/brain.2011.0064

Table 1.

Global Results from CNTNAP2 Association Analysis for Integrated Graph Theory Metrics for Whole Brain and Left and Right Hemispheres Separately

Global measures—recessive model
Measure Risk average (CC) Nonrisk average (CT and TT) b p value
Whole brain
CPL 17.5/10.09 17.67/10.16 0.17 0.0069
 MCC/γ 8.57/13.74 8.35/14.27 −0.2 0.21
 EGLOB 6.16 6.1 −0.049 0.032
 SW 13.52 14 0.51 0.021
 MOD 5.64 5.53 −0.09 0.12
Left hemisphere
 CPL/λ 19.16/10.67 19.04/10.69 −0.11 0.17
 MCC/γ 6.13/17.64 6.16/17.10 0.038 0.54
 EGLOB 5.6 5.51 −0.09 0.00099
 SW 16.57 15.96 −0.6 0.00068
 MOD 4.54 4.44 −0.098 0.16
Right hemisphere
 CPL/λ 19.02/10.62 18.95/10.66 −0.084 0.3
 MCC/γ 6.35/17.37 6.36/17.24 0.02 0.79
 EGLOB 5.64 5.56 −0.077 0.0056
 SW 16.33 16.14 −0.17 0.31
 MOD 4.39 4.28 −0.11 0.079

Significant results are bolded. Results pass FDR correction for multiple comparisons across all 15 p values.

Whole-brain results showing CNTNAP2 SNP associations with graph theory measures of structural connectivity. Results are separated by hemisphere and are shown for the recessive model's SNP effect.

CPL, characteristic path length; MCC, mean clustering coefficient; EGLOB, global efficiency; SW, small-worldness, MOD, modularity; FDR, false discovery rate; SNP, single nucleotide polymorphism.