Dissecting the genetic complexity of myalgic encephalomyelitis/chronic fatigue syndrome via deep learning-powered genome analysis

Authors: Zhang, Sai; Jahanbani, Fereshteh; Chander, Varuna; Kjellberg, Martin; Liu, Menghui; Glass, Katherine A.; Iu, David S.; Ahmed, Faraz; Li, Han; Maynard, Rajan Douglas; Chou, Tristan; Cooper-Knock, Johnathan; Zhang, Martin Jinye; Thota, Durga; Zeineh, Michael; Grenier, Jennifer K.; Grimson, Andrew; Hanson, Maureen R.; Snyder, Michael P.

16 Apr 2025 (Preprint)

View article | Discussion on S4ME


Cohorts in this study

Phenotype: ME/CFS

ACE, ADCY10, ADGRL2, AGO1, AHCYL1, AHCYL2, AK2, AK3, AMPD2, ATP4B, BAIAP2, BCL2L1, BHMT, BNIP1, BUB3, CA2, CACNA2D3, CAMK2A, CANT1, CDC14A, CDC23, CDC6, CDR2, CHD8, CHMP3, COASY, CREB3, CREB5, CRKL, DLG2, DLGAP1, DLGAP2, DLGAP3, DLGAP4, DNMT3A, DNMT3B, DVL2, E2F6, ENTPD5, ENTPD6, ENTPD8, GABBR1, GALT, GDPD1, GDPD3, GNRH1, GRB2, GRM1, HDAC1, HLA-C, HOMER2, HP, HSF1, IK, IL12A, ING3, INS, KRT5, LEP, MAX, MICALL2, NAMPT, NCBP2, NEDD9, NFATC3, NLGN1, NLGN2, NME1, NME1-NME2, NME2, NME3, NME4, NMRK2, NODAL, NOTCH1, NR3C2, NRAS, NT5C3B, PANK1, PANK2, PANK3, PARD6B, PDE4B, PDYN, PELP1, PIK3CA, PPCDC, PPP2R2A, PPP2R2B, PRKCZ, PRP4K, PSMB3, PSMB4, PSMB5, PSMB7, PSMC3, PSMC5, PSMD7, PTPN11, RAPGEF1, RBPJL, RET, RFK, RNF41, SCAF1, SF1, SF3B2, SHARPIN, SMARCD3, STAM2, STX10, SYNGAP1, TOP1, TSC2, ZC3H13

Search for these genes


Notes

115 ME/CFS risk genes from Supplementary Table 2