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Table 2 Differentially expressed autism candidate genes for each pathway subgroup

From: Pathway-based outlier method reveals heterogeneous genomic structure of autism in blood transcriptome

Neuron development Nitric oxide signaling Skeletal development
Gene log2(FC) q-value Gene log2(FC) q-value Gene log2(FC) q-value
BZRAP1 0.759 7.39e-08 SYNGAP1 0.760 0.000173 SYNGAP1 0.769 4.24e-06
CD38 0.645 0.0270 GPC6 0.510 0.0437 KCTD13 0.564 9.09e-07
PDE4A 0.430 0.00711 KCTD13 0.497 0.000921 NSD1 0.492 6.91e-08
AUTS2 0.387 0.00217 DMPK 0.391 0.00565 PCDHGA11 0.485 2.88e-06
ADRB2 0.363 0.00122 NSD1 0.340 0.00847 DMPK 0.478 1.24e-05
ADA 0.330 0.00246 CACNA1G 0.285 0.0494 NCKAP5L 0.374 0.000301
STK39 0.306 0.0210 MED12 0.215 0.0184 SATB2 0.330 0.0169
BCL2 -0.235 0.0141 CD44 0.164 0.0276 NOS2A 0.327 0.0102
    TSN -0.172 0.0127 DPP6 0.325 0.0382
PEX7 -0.228 0.0283 EPHB6 0.308 0.00248
TMLHE -0.245 0.0461 MED12 0.305 7.87e-05
EPHA6 -0.287 0.0368 NRP2 0.290 0.0302
DIAPH3 -0.510 0.0247 TSC2 0.238 0.0352
TPH2 -0.548 0.0183 MAPK3 0.220 0.0283
    DRD2 0.179 0.0316
RIMS3 0.177 0.0289
CD44 0.151 0.0301
RPL10 -0.102 0.0181
ADSL -0.155 0.0440
SLC25A12 -0.183 0.0431
ARHGAP15 -0.187 0.0271
DUSP22 -0.194 0.0204
PEX7 -0.212 0.0408
RORA -0.266 0.0295
EIF4E -0.343 0.0293
TPH2 -0.822 0.00313
  1. Genes in bold were differentially expressed in both nitric oxide signaling and skeletal development outliers, which were the groups with the highest overlap (Figure 1B).