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. 2020 Jul 23;12:28. doi: 10.3389/fnsyn.2020.00028

Table 2.

Disease-associated gene analysis of the 72 potential M6a’s interactors.

ID Annotation p-value FDR B&H FDR B&Y Bonferroni Genes from input (72) Protein symbol
Disease C0004352 Autistic Disorder 1.84E-10 3.041E-07 2.43E-06 3.041E-07 20 (27%) Gja1, Dpysl2, Stx1a, Nrxn3, Stxbp1, Thy1, Scamp5, Tnc, Pclo, Scn2a, Cntnap1, Syn1, Syn2, Snap25, App, Aqp4, Plp1, Slc1a2, Atp2b2, Slc1a3
C0014544 Epilepsy 1.05E-09 8.625E-07 6.89E-06 1.73E-06 19 (26%) Gja1, Dpysl3, Stx1a, Stxbp1, Sv2a, Scn2a, Syn1, Slc17a7, Syn2, Grin1, Atp1a2, Atp1a3, App, Grm1, Aqp4, Slc1a2, Slc1a3, Vdac1, Slc12a5
C0036341 Schizophrenia 2.40E-09 1.32E-06 1.05E-05 3.96E-06 28 (38%) Nptn, Dpysl2, Stx1a, Nrxn3, Stxbp1, Sv2a, Pclo, Scn2a, Ncan, Lrp1, Syn1, Slc17a7, Syn2, Syp, Bcan, Grin1, Snap25, App, Grm1, Ppia, Aqp4, Eno2, Plp1, Slc1a2, Slc1a3, Cnp, Mog, Slc12a5
C0002395 Alzheimer’s Disease 2.10E-05 6.93E-03 0.055 0.035 26 (34%) Gja1, Dpysl2, Dpysl3, Thy1, Synj1, Sv2a, Anxa5, Lrp1, Syn1, Slc17a7, Syn2, Syp, Syt1, Bcan, Grin1, Snap25, App, Ppia, Aqp4, Eno2, Slc1a2, Slc1a3, Cnp, Mog, Hsp90, Vdac1
C0086237 Epilepsy, Cryptogenic 5.30E-06 2.19E-03 0.017 0.009 7 (9, 7%) Gja1, Scn2a, Grm1, Slc1a2, Slc1a3, Vdac1, Slc12a5
C0005586 Bipolar Disorder 2.61E-05 7.18E-03 0.057 0.043 16 (22%) Vapa, Dpysl2, Synj1, Pclo, Ncan, Slc17a7, Syn2, Syp, Grin1, Snap25, Atp1a1, Atp1a2, Atp1a3, App, Slc1a2, Slc1a3
C0036572 Seizures 4.81E-05 0.010 0.081 0.079 14 (19%) Gja1, Stxbp1, Synj1, Sv2a, Scn2a, Slc17a7, Syn2, Grin1, Atp1a2, App, Aqp4, Slc1a2, Slc1a3, Slc12a5
C0011570 Mental Depression 4.92E-05 0.010 0.081 0.081 14 (19%) Gja1, Dpysl2, Pclo, Syn1, Syp, Grin1, Snap25, Atp1a3, App, Grm1, Aqp4, Slc1a2, Cnp, Hsp90
C1269683 Major Depressive Disorder 1.27E-04 2.11E-02 1.70E-01 2.19E-01 13 (19%) Gja1, Pclo, Ncan, Lrp1, Slc17a7, Snap25, App, Plp1, Slc1a2, Slc1a3, Cnp, Mog, Hsp90
C0011581 Depressive disorder 1.28E-04 0.022 0.176 0.211 14 (19%) Gja1, Dpysl2, Pclo, Syn1, Syp, Grin1, Snap25, Atp1a3, App, Grm1, Aqp4, Slc1a2, Cnp, Hsp90

The table shows the overlap of the associated genes in the top 10 diseases. The analysis was done with the ToppFun application of the ToppGene Suit using data sourced from DisGeNET.