Table 3 Associations between baseline co-expression modules and SZ

From: Dopamine perturbation of gene co-expression networks reveals differential response in schizophrenia for translational machinery

   

DA-stimulated dataa

 

Baseline module

Beta (SE)

P-value

Beta (SE)

P-value

ΔAICb

% PGC locic

Black

3.30 (0.49)

1.7 × 10−11

3.00 (0.49)

9.8 × 10−10

7.9

2.7

Blue

−3.07 (0.49)

4.1 × 10−10

−2.63 (0.49)

8.7 × 10−8

10.4

1.1

Brown

−1.12 (0.49)

0.023

−1.95 (0.49)

7.8 × 10−5

−10.5

4.1

Green

4.46 (0.48)

<2.0 × 10−16

3.95 (0.49)

6.0 × 10−16

18.4

1.6

Green-Yellow

0.78 (0.49)

0.11

0.092 (0.49)

0.85

2.5

2.7

Magenta

2.29 (0.49)

3.4 × 10−6

0.98 (0.49)

0.048

17.7

4.0

Purple

−2.55 (0.49)

2.3 × 10−7

−2.16 (0.49)

1.2 × 10−5

7.7

0

Grey (Unassigned)

3.24 (0.49)

4.3 × 10−11

2.44 (0.49)

7.2 × 10−7

18.9

2.5

  1. aFor the baseline WGCNA modules, eigengenes were recalculated based on the DA-stimulated gene expression data, which were then tested for association with SZ status
  2. bDifference in Akaike Information Criteria (AIC) values for the DA-stimulated and baseline regression models
  3. cPercentage of SZ risk genes in a given module. This is based on the findings of the PGC GWAS on SZ, in which 108 SNPs and indels were identified as genome-wide significant, which were assigned to genes and ncRNAs using a 250 K bp window around the loci. The percentage of unassigned genes that are PGC risk genes (as defined above) is 2.5%
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