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 |
