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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