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Table 1 Summary of the Most Significant Genes in the GAIN Schizophrenia Data Analysis

From: Adaptive Fisher method detects dense and sparse signals in association analysis of SNV sets

Gene

wAF

wAF d

aSPU

SKAT

SKAT-O

Related Disease

Function

FAM69A

1.20 ×10−5

4.00 ×10−5

1.70 ×10−5

6.31 ×10−6

6.41 ×10−6

SCZ [33]

Protein binding.

      

MS [39]

 
      

Parkinson’s Disease [29]

 

NUDT12

6.00 ×10−5

5.99 ×10−3

4.80 ×10−5

4.29 ×10−3

6.58 ×10−3

Depressive Symptoms [43]

Regulates the concentrations of individual

       

nucleotides and of nucleotide ratios.

RPL5

6.00 ×10−5

9.00 ×10−5

1.00 ×10−4

3.57 ×10−5

2.76 ×10−5

MS [39]

Ribosomal protein, binds 5s RNA.

HPGDS

8.00 ×10−5

6.00 ×10−4

1.50 ×10−4

5.16 ×10−5

7.89 ×10−5

SCZ [34]

PGH2 to PGD2 conversion enzyme.

SMARCAD1

1.00 ×10−4

1.30 ×10−4

1.10 ×10−4

6.06 ×10−5

1.53 ×10−4

 

Heterochromatin organization restoration

       

epigenetic pattern propagation.

GTF2A1

1.20 ×10−4

1.00 ×10−3

1.70 ×10−4

9.90 ×10−5

9.98 ×10−5

BD [35]

Transcriptional activation.

NRN1L

1.20 ×10−4

3.50 ×10−4

6.00 ×10−4

2.04 ×10−4

2.63 ×10−4

Psychiatric Diseases[44]

Neurite growth, neuronal survival.

CERCAM

1.40 ×10−4

6.00 ×10−4

1.30 ×10−4

1.72 ×10−1

1.80 ×10−1

 

Probable cell adhesion protein.

SLC35A5

1.80 ×10−4

5.99 ×10−3

2.30 ×10−3

4.16 ×10−4

3.32 ×10−4

Autistic Disorder[30]

Nucleoside-sugar transporter.

STRA13

2.00 ×10−4

9.00 ×10−5

9.00 ×10−5

9.81 ×10−5

1.07 ×10−4

SCZ [46]

Mitotic progression and chromosome segregation.

ESRP2

2.90 ×10−4

2.60 ×10−4

4.30 ×10−4

1.85 ×10−4

1.97 ×10−4

 

An epithelial cell-type-specific splicing regulator.

LCAT

6.00 ×10−4

6.00 ×10−4

3.10 ×10−4

9.80 ×10−4

1.08 ×10−3

 

Enzyme in the extracellular metabolism.

KIAA1024L

1.00 ×10−3

6.00 ×10−4

1.00 ×10−3

8.76 ×10−4

6.66 ×10−4