Table 1 Validation of the IGs highlighted by our machine learning approach with the help of the 5 autism-related databases (AutismKB, SFARI, HuVarBase, DisGeNET and OpenTargets)
From: Novel clinical, molecular and bioinformatics insights into the genetic background of autism
Severity | Novel | Known (5 database validation set) |
|---|---|---|
Mild | n = 9 | n = 3 |
FYCO1, MROH2B, ZNF131, KIAA1456, CCDC171, ZFC3H1, CCDC38, COG3, TJP1 | COL11A1, FGA, NCOA6 | |
Severe | n = 36 | n = 12 |
AGRN, C1orf222, LRRC71, ACTN2, AGXT, AC104809.3, PRSS50, TNK2, NMUR2, MRPL22, C6orf229, HIST1H1A, IQCE, NPC1L1, OR2A12, OR2A2, ANKRD18B, C9orf84, NDOR1, OR6M1, TTC6, ANXA2, SLX4, ACSM1, TSEN54, ENGASE, CCDC40, MED16, ZNF431, USF2, CCDC114, ZNF813, BPIFB6, BPIFB4, ZBP1, XG | ARHGEF11, BMPR2, NGEF, SSPO, NAT2, MMP16, CDH15, ASIC2, SETBP1, NLGN4X, NR0B1, KDM6A |