Skip to main content

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).