Authors: Karczewski, Konrad J.; Solomonson, Matthew; Chao, Katherine R.; Goodrich, Julia K.; Tiao, Grace; Lu, Wenhan; Riley-Gillis, Bridget M.; Tsai, Ellen A.; Kim, Hye In; Zheng, Xiuwen; Rahimov, Fedik; Esmaeeli, Sahar; Grundstad, A. Jason; Reppell, Mark; Waring, Jeff; Jacob, Howard; Sexton, David; Bronson, Paola G.; Chen, Xing; Hu, Xinli; Goldstein, Jacqueline I.; King, Daniel; Vittal, Christopher; Poterba, Timothy; Palmer, Duncan S.; Churchhouse, Claire; Howrigan, Daniel P.; Zhou, Wei; Watts, Nicholas A.; Nguyen, Kevin; Nguyen, Huy; Mason, Cara; Farnham, Christopher; Tolonen, Charlotte; Gauthier, Laura D.; Gupta, Namrata; MacArthur, Daniel G.; Rehm, Heidi L.; Seed, Cotton; Philippakis, Anthony A.; Daly, Mark J.; Davis, J. Wade; Runz, Heiko; Miller, Melissa R.; Neale, Benjamin M.
Cell Genomics, Sep 2022
View article | Discussion on S4ME
AFG3L2, AHCTF1, APAF1, ARL2-SNX15, ATP5MF-PTCD1, ATP5MG, BCL2L2-PABPN1, BORCS6, BRPF1, C18orf54, C2CD2, C2orf15, CADM3, CAMK2G, CBR3, CC2D2B, CFHR5, CHTOP, COLGALT2, COMMD8, COPZ2, CYP3A7, CYP3A7-CYP3A51P, DCDC2, DMAP1, DUSP16, EIF5A2, EMC2, FAM47A, FBXL2, FERMT2, FHIP2B, GALNT17, GAP43, GLUL, HAMP, HERC1, HMG20B, HNRNPU, HPDL, ITIH2, JAK2, KRTAP5-10, LAMTOR2, LEMD3, LZTFL1, ME2, MED11, MGLL, MKI67, NDUFB10, NPIPB2, NRAP, NT5C3B, OLAH, OR51I1, PDK1, PLCXD2, PLCZ1, PLEKHG4B, PPP1R11, PRAP1, PRPSAP2, PTAR1, RAB32, RADIL, RIMS1, SCO2, SEMA4D, SEPTIN3, SERPINA4, SHKBP1, SHLD2, SKA2, SKIL, SNX11, SNX15, SPATA31D4, SPMIP1, SPRR2B, SPTLC3, STAC, TAF9B, TEAD1, TMEM164, TMEM30B, TNFAIP8L1, TPR, TRHR, TRIM6, TRIM6-TRIM34, TSG101, TTLL4, TUBA1C, UBQLNL, VCX, VSIG10, ZBTB38, ZNF275, ZNF415, ZNF511-PRAP1, ZNF540, ZNF75A
On the Genebass.org page for CFS, for each gene, there are three types of statistical tests (SKAT-O, SKAT, Burden) per category (pLoF, missense|LC, synonymous). The 20 most significant genes from each test-category pair are combined here.