TAGAP

gene
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Also known as FLJ32631IDDM21ARHGAP47

Summary

TAGAP (T cell activation RhoGTPase activating protein, HGNC:15669) is a protein-coding gene on chromosome 6q25.3, encoding T-cell activation Rho GTPase-activating protein (Q8N103). May function as a GTPase-activating protein and may play important roles during T-cell activation.

This gene encodes a member of the Rho GTPase-activator protein superfamily. The encoded protein may function as a Rho GTPase-activating protein. Alterations in this gene may be associated with several diseases, including rheumatoid arthritis, celiac disease, and multiple sclerosis. Alternate splicing results in multiple transcript variants encoding distinct isoforms.

Source: NCBI Gene 117289 — RefSeq curated summary.

At a glance

  • GWAS associations: 33
  • Clinical variants (ClinVar): 54 total
  • MANE Select transcript: NM_054114

Identifiers

Gene identifiers

FieldValue
HGNC IDHGNC:15669
Approved symbolTAGAP
NameT cell activation RhoGTPase activating protein
Location6q25.3
Locus typegene with protein product
StatusApproved
AliasesFLJ32631, IDDM21, ARHGAP47
Ensembl geneENSG00000164691
Ensembl biotypeprotein_coding
OMIM609667
Entrez117289

Gene structure

Transcript identifiers

Ensembl transcripts: 5 — 4 protein_coding, 1 nonsense_mediated_decay

ENST00000338313, ENST00000367066, ENST00000642909, ENST00000645980, ENST00000865619

RefSeq mRNA: 4 — MANE Select: NM_054114 NM_001278733, NM_054114, NM_138810, NM_152133

CCDS: CCDS5261, CCDS5263

Canonical transcript exons

ENST00000367066 — 10 exons

ExonStartEnd
ENSE00000000361159044879159044991
ENSE00000000362159034481159037124
ENSE00001086619159038114159038228
ENSE00001368833159039114159039309
ENSE00002223440159042078159042244
ENSE00003475168159044120159044204
ENSE00003548341159043589159043655
ENSE00003576471159043978159044031
ENSE00003592529159041354159041515
ENSE00003635222159040723159040832

Expression profiles

Bgee: expression breadth ubiquitous, 210 present calls, max score 97.36.

FANTOM5 (CAGE): breadth broad, TPM avg 37.3860 / max 2956.8956, expressed in 559 samples.

FANTOM5 promoters (6 alternative TSS)

Promoter IDTPM avgSamples expressed
7644318.5611451
7644415.4600509
764421.1785219
764400.9460129
764450.7400154
764410.5005113

Top tissues by expression

241 total, by Bgee expression score (0-100, higher = more expressed):

TissueAnatomy IDExpression scoreQuality
bone marrow cellCL:000209297.36gold quality
bloodUBERON:000017896.93gold quality
bone marrowUBERON:000237196.42gold quality
granulocyteCL:000009496.00gold quality
leukocyteCL:000073893.69gold quality
monocyteCL:000057693.32gold quality
vermiform appendixUBERON:000115492.83gold quality
trabecular bone tissueUBERON:000248390.89gold quality
lymph nodeUBERON:000002990.09gold quality
ileal mucosaUBERON:000033187.86gold quality
caecumUBERON:000115386.08gold quality
superficial temporal arteryUBERON:000161485.37gold quality
spleenUBERON:000210685.32gold quality
palpebral conjunctivaUBERON:000181285.29gold quality
epithelium of nasopharynxUBERON:000195184.57gold quality
smooth muscle tissueUBERON:000113584.45gold quality
parietal pleuraUBERON:000240084.19gold quality
male germ line stem cell (sensu Vertebrata) in testisCL:0000089 ∩ UBERON:000047384.03gold quality
amniotic fluidUBERON:000017383.93gold quality
tonsilUBERON:000237280.22gold quality
germinal epithelium of ovaryUBERON:000130479.29gold quality
rectumUBERON:000105278.82gold quality
gall bladderUBERON:000211078.58gold quality
jejunal mucosaUBERON:000039977.18gold quality
epithelial cell of pancreasCL:000008376.98silver quality
oral cavityUBERON:000016776.90gold quality
visceral pleuraUBERON:000240176.77gold quality
thymusUBERON:000237076.11gold quality
small intestine Peyer’s patchUBERON:000345475.23gold quality
esophagus squamous epitheliumUBERON:000692074.63silver quality

Single-cell (SCXA)

Detected in 4 experiment(s), a significant marker in 3.

ExperimentMarker?Max mean expression
E-GEOD-135922yes27.00
E-ANND-3yes12.14
E-CURD-122yes9.40
E-CURD-112no2.64

Regulation

Is transcription factor: no

miRNA regulators (miRDB)

98 targeting TAGAP, top 30 by miRDB confidence (max_score; target_count = how many genes the miRNA targets in total — lower means more specific):

miRNAMax scoreAvg scoremiRNA target_count
HSA-MIR-3163100.0077.238605
HSA-MIR-1277-5P100.0073.955056
HSA-MIR-190A-3P100.0080.355520
HSA-MIR-5011-5P100.0083.465820
HSA-MIR-4776-3P100.0068.731340
HSA-MIR-32-5P99.9875.211964
HSA-MIR-92A-3P99.9875.211960
HSA-MIR-92B-3P99.9875.251955
HSA-MIR-363-3P99.9874.721821
HSA-MIR-25-3P99.9874.601817
HSA-MIR-367-3P99.9874.831819
HSA-MIR-4482-3P99.9872.503147
HSA-MIR-433-3P99.9869.371203
HSA-MIR-60799.9773.625593
HSA-MIR-302E99.9670.742669
HSA-MIR-651-3P99.9473.485177
HSA-MIR-101-3P99.9475.032230
HSA-MIR-539-5P99.9370.302855
HSA-MIR-335-3P99.9373.364958
HSA-MIR-450B-5P99.9271.483175
HSA-MIR-6508-5P99.9270.672465
HSA-MIR-568099.9169.833421
HSA-MIR-95-5P99.8972.173973
HSA-MIR-302A-3P99.8971.231777
HSA-MIR-302B-3P99.8971.231777
HSA-MIR-302C-3P99.8971.201778
HSA-MIR-302D-3P99.8971.251777
HSA-MIR-153-5P99.8973.866317
HSA-MIR-806799.8669.592260
HSA-MIR-369-3P99.8570.522264

Literature-anchored findings (GeneRIF, showing 14)

  • there is strong evidence that variation within the TAGAP gene is associated with rheumatoid arthritis, type 1 diabetes and coeliac disease (PMID:20854658)
  • study has refined the TAGAP signal of association to a single haplotype in rheumatoid arthritis (RA), and in doing so provides conclusive statistical evidence that the TAGAP locus is associated with RA risk (PMID:21390051)
  • SNPs in regulatory regions of TAGAP and an intronic SNP (TNFAIP3) are potential susceptibility loci in African Americans. (PMID:22127930)
  • Rs212388 single nucleotide polymorphism most significantly correlated with the presence and severity of anal disease in ileocolonic Crohn’s disease. (PMID:23044675)
  • we suggest that polymorphism rs212389 better predicts the association of TAGAP locus with RA. (PMID:23453471)
  • Colonic expression of TAGAP in Crohn’s disease varies according to disease severity and location, being the most elevated in patients with severe disease in the sigmoid colon (PMID:24582067)
  • SNPs in TAGAP are associated with increased risk of candidemia. (PMID:25197941)
  • IL2RA and TAGAP are novel vitamin D target genes. The vitamin D response is observed in samples from both the multiple sclerosis (MS) patients and controls, and is not dependent on the genotype of MS-associated SNPs in the respective genes. (PMID:26765264)
  • meta-analysis provides robust estimates that polymorphisms in LPP and TAGAP genes are potential risk factors for celiac disease in Europeans and Americans (PMID:28208589)
  • Results suggested that TAGAP rs1738074 polymorphism could be considered as a risk factor in the prevalence of multiple sclerosis in the Iranian population (PMID:28356229)
  • These findings indicate that increased TAGAP expression is a distinguishing feature of inflammatory disease and further highlight the role of TAGAP in rheumatoid arthritis susceptibility. (PMID:29017772)
  • This is the first comprehensive study, where TAGAP gene variants were analyzed using in silico tools hence will be of great help while considering large scale studies and also in developing precision medicines for cure of diseases related to these polymorphisms (PMID:29329296)
  • An attempt to unravel the association of TAGAP gene SNPs with rheumatoid arthritis in the Indian population using high-resolution melting analysis. (PMID:35597527)
  • TAGAP expression influences CD4+ T cell differentiation, immune infiltration, and cytotoxicity in LUAD through the STAT pathway: implications for immunotherapy. (PMID:37744350)

Cross-species orthologs

8 orthologs

OrganismSymbolGene ID
danio_reriotagapaENSDARG00000002353
danio_reriotagapbENSDARG00000043475
danio_reriosi:ch211-122h15.4ENSDARG00000096635
mus_musculusTagapENSMUSG00000033450
mus_musculusTagap1ENSMUSG00000052031
rattus_norvegicusTagapENSRNOG00000018915
drosophila_melanogasterRhoGAP71EFBGN0036518
caenorhabditis_elegansWBGENE00007064

Paralogs (1): ARHGAP20 (ENSG00000137727)

Protein

Protein identifiers

T-cell activation Rho GTPase-activating proteinQ8N103 (reviewed: Q8N103)

Alternative names: T-cell activation GTPase-activating protein

All UniProt accessions (3): A0A2R8YEB9, A0AAQ5BID7, Q8N103

UniProt curated annotations — full annotation on UniProt →

Function. May function as a GTPase-activating protein and may play important roles during T-cell activation.

Miscellaneous. Dubious isoform. The N-terminus appears to be derived from exons of the CEP43 locus which is located on the opposing strand of chromosome 6 at a distance of several Mb.

Isoforms (4)

UniProt IDNamesCanonical?
Q8N103-11yes
Q8N103-22
Q8N103-33, FKSG15
Q8N103-44

RefSeq proteins (4): NP_001265662, NP_473455, NP_620165, NP_687034 (=MANE)

Domains & families (InterPro)

IDNameType
IPR000198RhoGAP_domDomain
IPR008936Rho_GTPase_activation_protHomologous_superfamily
IPR047886ARHGAP20-like_RhoGAPDomain

Pfam: PF00620

UniProt features (19 total): compositionally biased region 6, splice variant 5, region of interest 3, chain 1, domain 1, site 1, modified residue 1, sequence variant 1

Structure

Experimental structures (PDB)

0 structures.

Predicted structure (AlphaFold)

ModelpLDDTFraction very-high
AF-Q8N103-F157.360.25

Functional residue map

Curated UniProt residues grouped by drug-discovery relevance — catalytic, ligand-binding, modification, and mutation-validated positions. Source: UniProtKB sequence features.

Catalytic / active sites (1): 123 (arginine finger; crucial for gtp hydrolysis by stabilizing the transition state)

Post-translational modifications (1): 400

Function

Pathways and Gene Ontology

Reactome pathways

7 pathways

IDPathway
R-HSA-8980692RHOA GTPase cycle
R-HSA-9013148CDC42 GTPase cycle
R-HSA-9013149RAC1 GTPase cycle
R-HSA-162582Signal Transduction
R-HSA-194315Signaling by Rho GTPases
R-HSA-9012999RHO GTPase cycle
R-HSA-9716542Signaling by Rho GTPases, Miro GTPases and RHOBTB3

MSigDB gene sets: 206 (showing top): TURASHVILI_BREAST_LOBULAR_CARCINOMA_VS_DUCTAL_NORMAL_UP, MODULE_97, GOBP_REGULATION_OF_SMALL_GTPASE_MEDIATED_SIGNAL_TRANSDUCTION, MODULE_182, RACCACAR_AML_Q6, chr6q25, LEE_NAIVE_T_LYMPHOCYTE, FOSTER_TOLERANT_MACROPHAGE_UP, TURASHVILI_BREAST_LOBULAR_CARCINOMA_VS_LOBULAR_NORMAL_DN, TGACATY_UNKNOWN, GOBP_REGULATION_OF_RHO_PROTEIN_SIGNAL_TRANSDUCTION, MYOD_Q6, BERTUCCI_MEDULLARY_VS_DUCTAL_BREAST_CANCER_UP, MARTORIATI_MDM4_TARGETS_FETAL_LIVER_UP, GOBP_SMALL_GTPASE_MEDIATED_SIGNAL_TRANSDUCTION

GO Biological Process (3): signal transduction (GO:0007165), regulation of Rho protein signal transduction (GO:0035023), regulation of small GTPase mediated signal transduction (GO:0051056)

GO Molecular Function (3): guanyl-nucleotide exchange factor activity (GO:0005085), GTPase activator activity (GO:0005096), protein binding (GO:0005515)

GO Cellular Component (1): cytosol (GO:0005829)

Reactome top-level categories

Rollup of top-4 pathways:

CategoryPathways
RHO GTPase cycle3
Signaling by Rho GTPases, Miro GTPases and RHOBTB31
Signaling by Rho GTPases1
Signal Transduction1

GO top-level categories

Rollup of top GO terms by namespace:

CategoryTerms
GTPase regulator activity2
cell communication1
cellular process1
signaling1
regulation of cellular process1
cellular response to stimulus1
Rho protein signal transduction1
regulation of small GTPase mediated signal transduction1
small GTPase-mediated signal transduction1
regulation of intracellular signal transduction1
GTP binding1
GDP binding1
GTPase activity1
enzyme activator activity1
binding1
cytoplasm1
cellular anatomical structure1

Protein interactions and networks

STRING

1976 interactions, top by confidence (×1000):

Protein AProtein BPartner UniProtScore
TAGAPRSPH3Q86UC2835
TAGAPSH2B3Q9UQQ2798
TAGAPBLTP1Q2LD37733
TAGAPRGS1Q08116726
TAGAPADAD1Q96M93680
TAGAPPTPN2P17706667
TAGAPIL18R1Q13478663
TAGAPC1QTNF6Q9BXI9639
TAGAPBACH2Q9BYV9629
TAGAPLCE4AQ5TA78621
TAGAPCLEC16AQ2KHT3619
TAGAPTOR1AO14656582
TAGAPPRKCQQ04759571
TAGAPQ5Y7H0Q5Y7H0549
TAGAPIL18RAPO95256544

IntAct

120 interactions, top by confidence:

ABTypeScore
TAGAPSNTA1psi-mi:“MI:0407”(direct interaction)0.590
TAGAPSNTB1psi-mi:“MI:0407”(direct interaction)0.590
HSF2BPTAGAPpsi-mi:“MI:0915”(physical association)0.560
TAGAPPDZK1psi-mi:“MI:0407”(direct interaction)0.440
TAGAPPDZD2psi-mi:“MI:0407”(direct interaction)0.440
TAGAPPDZD7psi-mi:“MI:0407”(direct interaction)0.440
TAGAPDLG1psi-mi:“MI:0407”(direct interaction)0.440
TAGAPPTPN3psi-mi:“MI:0407”(direct interaction)0.440
TAGAPWHRNpsi-mi:“MI:0407”(direct interaction)0.440
TAGAPSYNJ2BPpsi-mi:“MI:0407”(direct interaction)0.440
TAGAPMAST2psi-mi:“MI:0407”(direct interaction)0.440
TAGAPRHPN1psi-mi:“MI:0407”(direct interaction)0.440
TAGAPSCRIBpsi-mi:“MI:0407”(direct interaction)0.440
TAGAPIL16psi-mi:“MI:0407”(direct interaction)0.440
TAGAPMAGI3psi-mi:“MI:0407”(direct interaction)0.440
TAGAPSNTG1psi-mi:“MI:0407”(direct interaction)0.440
TAGAPTJP2psi-mi:“MI:0407”(direct interaction)0.440
TAGAPSNTG2psi-mi:“MI:0407”(direct interaction)0.440
TAGAPDLG4psi-mi:“MI:0407”(direct interaction)0.440
TAGAPFRMPD2psi-mi:“MI:0407”(direct interaction)0.440
TAGAPLIN7Cpsi-mi:“MI:0407”(direct interaction)0.440
TAGAPPDZRN3psi-mi:“MI:0407”(direct interaction)0.440
TAGAPDLG2psi-mi:“MI:0407”(direct interaction)0.440
TAGAPDLG3psi-mi:“MI:0407”(direct interaction)0.440
TAGAPTAX1BP3psi-mi:“MI:0407”(direct interaction)0.440
TAGAPPATJpsi-mi:“MI:0407”(direct interaction)0.440
HTRA1TAGAPpsi-mi:“MI:0407”(direct interaction)0.440

BioGRID (18): TAGAP (Two-hybrid), TAGAP (Affinity Capture-MS), DTNA (Affinity Capture-MS), DTNB (Affinity Capture-MS), SNTA1 (Affinity Capture-MS), SNTB1 (Affinity Capture-MS), SNTB2 (Affinity Capture-MS), UTRN (Affinity Capture-MS), BLK (Affinity Capture-MS), CTNNAL1 (Affinity Capture-MS), METTL18 (Affinity Capture-MS), TOMM34 (Affinity Capture-MS), VRK1 (Affinity Capture-MS), CHMP3 (Affinity Capture-MS), PUS7 (Affinity Capture-MS)

ESM2 similar proteins: A0A0G2JUG7, A1L390, A2AHC3, B2RWW0, O14924, O43182, O54834, O54960, O94885, P59808, P80192, P97434, Q13009, Q17R10, Q3U1V8, Q3U214, Q4VAC9, Q5DTU0, Q5DU25, Q5JU85, Q5RBI7, Q5SXA9, Q60610, Q6DN90, Q6NXJ0, Q6P0Q8, Q6P1I6, Q6P720, Q6P9R4, Q6WCQ1, Q6XZF7, Q76G19, Q76LL6, Q7T2V3, Q80Z38, Q810W7, Q8IX03, Q8N103, Q8R0S2, Q8R4H2

Diamond homologs: B2RWW0, D3ZFJ3, E7EZG2, E7F3F0, F1LQX4, P0CAX8, P55194, P85298, Q07960, Q10164, Q14CB8, Q17R89, Q3KRB8, Q3UIA2, Q54WY8, Q54XT6, Q54Y72, Q55GP8, Q5F3G0, Q5FWK3, Q5SSM3, Q6IFT4, Q6P4F7, Q6REY9, Q6Y5D8, Q6ZT62, Q80Y19, Q8BL80, Q8BRH3, Q8N103, Q99N37, Q9CXP4, Q9P2F6, Q9WVM1, Q9Y3L3, A0A0G2JTR4, A1A4S6, A4II46, A6QNS3, A6X8Z5

SIGNOR signaling

2 interactions.

AEffectBMechanism
TAGAP“down-regulates activity”RHOA“gtpase-activating protein”
TAGAP“down-regulates activity”RAC1“gtpase-activating protein”

Enriched among interaction partners

Reactome pathways and GO biological processes over-represented among this gene’s 79 IntAct physical interaction partners (hypergeometric vs the genome-wide background, BH-FDR, gene-set size 15–500, ranked by fold). A functional readout of the neighbourhood — distinct from this gene’s own memberships above, and biased toward well-studied / hub proteins, so read it as themes rather than proof.

Reactome pathways:

PathwayPartnersFoldFDR
Ras activation upon Ca2+ influx through NMDA receptor556.0×8e-07
Unblocking of NMDA receptors, glutamate binding and activation553.3×8e-07
Negative regulation of NMDA receptor-mediated neuronal transmission553.3×8e-07
Assembly and cell surface presentation of NMDA receptors1049.8×3e-13
Dopamine Neurotransmitter Release Cycle548.7×1e-06
Long-term potentiation546.6×1e-06
Neurexins and neuroligins1142.5×2e-13
Protein-protein interactions at synapses736.5×4e-08

GO biological processes:

GO termPartnersFoldFDR
establishment or maintenance of epithelial cell apical/basal polarity1075.5×2e-14
protein localization to synapse659.7×8e-08
receptor clustering756.7×6e-09
regulation of postsynaptic membrane neurotransmitter receptor levels532.2×2e-05
protein-containing complex assembly913.3×2e-06
cell-cell adhesion1013.2×4e-07
regulation of small GTPase mediated signal transduction59.3×3e-03
protein localization to plasma membrane57.1×9e-03

Disease & clinical

Clinical variants and AI predictions

ClinVar

54 variants total. Per-class counts are floors (≥ shown; pagination cap):

ClassificationCount (floor)
Pathogenic0
Likely pathogenic0
Uncertain significance41
Likely benign3
Benign4

Top pathogenic / likely-pathogenic (0)

SpliceAI

764 predictions. Top by Δscore:

VariantEffectΔscore
6:159037120:CACAT:Cacceptor_gain1.0000
6:159037122:CAT:Cacceptor_gain1.0000
6:159037123:AT:Aacceptor_gain1.0000
6:159037125:C:CAacceptor_loss1.0000
6:159037125:C:CCacceptor_gain1.0000
6:159037126:T:Aacceptor_loss1.0000
6:159038109:CATA:Cdonor_loss1.0000
6:159038111:TACCT:Tdonor_loss1.0000
6:159038112:A:Cdonor_loss1.0000
6:159038224:TTCAC:Tacceptor_gain1.0000
6:159038225:TCAC:Tacceptor_gain1.0000
6:159038226:CAC:Cacceptor_gain1.0000
6:159038226:CACC:Cacceptor_gain1.0000
6:159038227:AC:Aacceptor_gain1.0000
6:159038228:CC:Cacceptor_gain1.0000
6:159038228:CCTG:Cacceptor_loss1.0000
6:159038229:C:Aacceptor_loss1.0000
6:159038229:C:CCacceptor_gain1.0000
6:159038230:T:Gacceptor_loss1.0000
6:159039109:CAAA:Cdonor_loss1.0000
6:159039110:AAACC:Adonor_loss1.0000
6:159039111:AAC:Adonor_loss1.0000
6:159039112:ACC:Adonor_loss1.0000
6:159039305:CAACC:Cacceptor_gain1.0000
6:159039306:AACC:Aacceptor_gain1.0000
6:159039307:ACC:Aacceptor_gain1.0000
6:159039308:CC:Cacceptor_gain1.0000
6:159039308:CCC:Cacceptor_gain1.0000
6:159039309:CC:Cacceptor_gain1.0000
6:159039310:C:CCacceptor_gain1.0000

AlphaMissense

4829 scored. Top likely-pathogenic:

VariantProtein changeam_pathogenicity
6:159040778:A:GW178R0.997
6:159040778:A:TW178R0.997
6:159041463:C:AR123M0.997
6:159041462:C:AR123S0.996
6:159041462:C:GR123S0.996
6:159041463:C:GR123T0.996
6:159041466:A:GF122S0.996
6:159041469:A:TI121K0.996
6:159039196:G:TA234D0.995
6:159041354:C:AK159N0.995
6:159041354:C:GK159N0.995
6:159042135:A:CF86L0.995
6:159042135:A:TF86L0.995
6:159042137:A:GF86L0.995
6:159039199:A:GL233P0.994
6:159039213:C:AM228I0.994
6:159039213:C:GM228I0.994
6:159039213:C:TM228I0.994
6:159039214:A:GM228T0.994
6:159040776:C:AW178C0.994
6:159040776:C:GW178C0.994
6:159041418:A:GL138P0.994
6:159041430:A:GL134P0.994
6:159041488:C:GG115R0.994
6:159037087:G:CS312R0.993
6:159037087:G:TS312R0.993
6:159037089:T:GS312R0.993
6:159040827:G:CF161L0.993
6:159040827:G:TF161L0.993
6:159040828:A:GF161S0.993

dbSNP variants (sampled 300 via entrez): RS1000412339 (6:159045152 C>G,T), RS1000491823 (6:159040954 C>T), RS1000953049 (6:159041152 A>G), RS1000992306 (6:159046119 G>A), RS1001690527 (6:159040632 C>G,T), RS1002438492 (6:159034237 G>A), RS1002450998 (6:159038287 T>C), RS1002800336 (6:159044991 C>A,G,T), RS1003014929 (6:159046781 A>G), RS1003323504 (6:159037278 A>G), RS1003392427 (6:159043350 G>A,T), RS1004263612 (6:159045312 T>C), RS1004400640 (6:159035571 G>A,C), RS1004454566 (6:159035277 C>T), RS1004658995 (6:159043287 CTG>C)

Disease associations

OMIM: gene MIM:609667 | disease phenotypes:

GenCC curated gene-disease

Mondo (0):

Orphanet (0):

HPO phenotypes

0 total (0 of 0 shown, HPO-id order):

GWAS associations

33 associations (top):

StudyTraitp-value
GCST000157_3Celiac disease7.000000e-08
GCST000612_4Celiac disease3.000000e-15
GCST000879_37Crohn’s disease2.000000e-11
GCST000955_2Crohn’s disease and celiac disease2.000000e-10
GCST001198_37Multiple sclerosis7.000000e-15
GCST001341_10Multiple sclerosis4.000000e-07
GCST001729_1Crohn’s disease3.000000e-14
GCST002318_49Rheumatoid arthritis3.000000e-11
GCST002318_50Rheumatoid arthritis2.000000e-10
GCST002397_4Bladder cancer (smoking interaction)1.000000e-06
GCST002520_8Celiac disease8.000000e-09
GCST002746_11Lipoprotein (a) - cholesterol levels5.000000e-09
GCST003127_12Lipoprotein (a) levels5.000000e-11
GCST005523_25Celiac disease9.000000e-16
GCST005523_26Celiac disease3.000000e-06
GCST005527_26Psoriasis3.000000e-08
GCST005531_122Multiple sclerosis8.000000e-21
GCST005531_95Multiple sclerosis6.000000e-07
GCST005568_24Rheumatoid arthritis (ACPA-positive)1.000000e-06
GCST005568_35Rheumatoid arthritis (ACPA-positive)9.000000e-09
GCST005752_142Systemic lupus erythematosus2.000000e-06
GCST006048_3Rheumatoid arthritis (ACPA-positive)1.000000e-10
GCST006959_158Rheumatoid arthritis6.000000e-11
GCST006959_17Rheumatoid arthritis6.000000e-10
GCST008489_20Celiac disease3.000000e-08
GCST008489_21Celiac disease2.000000e-08
GCST008644_2Celiac disease and Rheumatoid arthritis6.000000e-11
GCST009597_146Multiple sclerosis3.000000e-35
GCST009873_38Autoimmune traits (pleiotropy)7.000000e-14
GCST009874_16Celiac disease1.000000e-11

EFO canonical traits (2, from GWAS)

EFO IDTrait name
EFO:0006925lipoprotein A measurement
EFO:0007874gut microbiome measurement

Drugs & pharmacology

Drug and pharmacology data

Is drug target: no

PharmGKB: 1 entry (VIP=true, CPIC=false)

PharmGKB variants

2 variants.

VariantGenesLevelScore#Clin annotsDrugs
rs394581TAGAP0.000
rs1738074TAGAP0.000

CTD chemical–gene interactions

20 total (human), top 20 by PubMed support.

ChemicalActions (top 5)PubMed papers
3-((6-(2-methoxyphenyl)pyrimidin-4-yl)amino)phenyl)methane sulfonamidedecreases expression1
TL8-506affects cotreatment, increases expression1
triphenyl phosphateaffects expression1
bisphenol Aaffects cotreatment, increases methylation1
motexafin gadoliniumaffects cotreatment, increases expression1
Arsenic Trioxideincreases expression1
Fulvestrantaffects cotreatment, increases methylation1
Acetaminophenincreases expression1
Allergensdecreases expression1
Arsenicaffects expression1
Benzo(a)pyrenedecreases methylation, increases methylation1
Cisplatinincreases expression1
Dieldrinincreases expression1
Ethyl Methanesulfonatedecreases expression1
Phthalic Acidsincreases methylation1
Poly I-Caffects cotreatment, increases expression1
Dronabinolincreases expression1
Tretinoinincreases expression1
Antirheumatic Agentsdecreases expression1
Zinc Acetateaffects cotreatment, increases expression1

Clinical trials (associated diseases)

0 trials via MONDO — disease-level, not drug-specific.