Hemolytic anemia due to erythrocyte adenosine deaminase overproduction

disease
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Also known as adenosine deaminase, elevated, hemolytic anaemia due toadenosine deaminase, elevated, hemolytic anemia due toanemia, congenital, nonspherocytic hemolytic, 9

Summary

Hemolytic anemia due to erythrocyte adenosine deaminase overproduction (MONDO:0020458) is a disease with 1 cohort gene.

At a glance

  • Cohort genes: 1
  • ClinVar variants: 9

Clinical features

No curated clinical features (Orphanet) for this disease.

Identifiers

Disease identifiers

FieldValue
Canonical namehemolytic anemia due to erythrocyte adenosine deaminase overproduction
Mondo IDMONDO:0020458
MeSHC566314
OMIM102730, 301083
Orphanet99138
DOIDDOID:0051008
ICD-111200845933
UMLSC1863235
MedGen400240
GARD0019669
Is cancer (heuristic)no

Also known as: adenosine deaminase, elevated, hemolytic anaemia due to · adenosine deaminase, elevated, hemolytic anemia due to · anemia, congenital, nonspherocytic hemolytic, 9

Data availability: 9 ClinVar variants.

Disease family

Classification path: disease › human disease › disease by body system or component › hematologic disorderanemiacongenital anemiacongenital nonspherocytic hemolytic anemiahemolytic anemia due to erythrocyte adenosine deaminase overproduction

Related subtypes (9): anemia, nonspherocytic hemolytic, gamma-glutamylcysteine synthetase deficiency, glutathione synthetase deficiency without 5-oxoprolinuria, non-spherocytic hemolytic anemia due to hexokinase deficiency, hemolytic anemia due to pyrimidine 5’ nucleotidase deficiency, pyruvate kinase deficiency of red cells, hemolytic anemia due to adenylate kinase deficiency, hemolytic anemia due to glucophosphate isomerase deficiency, hemolytic anemia due to glutathione reductase deficiency

Genetics & variants

GWAS landscape

No GWAS associations recorded — common-variant (GWAS) studies don’t cover this disease (typical for Mendelian / rare diseases). See the curated gene cohort and Mendelian overlap below.

Variant details and genetic-evidence tiers

ClinVar germline variants

9 retrieved; paginated sample, class counts are floors:

7 uncertain significance, 2 conflicting classifications of pathogenicity

ClinVarVariant (HGVS)GeneClassificationReview
1018362NM_002049.4(GATA1):c.283G>A (p.Gly95Ser)GATA1Conflicting classifications of pathogenicitycriteria provided, conflicting classifications
2082310NM_002049.4(GATA1):c.340G>A (p.Glu114Lys)GATA1Conflicting classifications of pathogenicitycriteria provided, conflicting classifications
1399872NM_002049.4(GATA1):c.920G>A (p.Arg307His)GATA1Uncertain significancecriteria provided, single submitter
2937136NM_002049.4(GATA1):c.550_551delinsAA (p.Ala184Asn)GATA1Uncertain significancecriteria provided, multiple submitters, no conflicts
3598344NM_002049.4(GATA1):c.499G>C (p.Asp167His)GATA1Uncertain significancecriteria provided, single submitter
3598345NM_002049.4(GATA1):c.748G>A (p.Val250Ile)GATA1Uncertain significancecriteria provided, multiple submitters, no conflicts
3598346NM_002049.4(GATA1):c.1003A>C (p.Met335Leu)GATA1Uncertain significancecriteria provided, single submitter
373400NM_002049.4(GATA1):c.919C>T (p.Arg307Cys)GATA1Uncertain significancecriteria provided, multiple submitters, no conflicts
3893065NM_002049.4(GATA1):c.528C>A (p.Thr176=)GATA1Uncertain significancecriteria provided, single submitter

Genes & proteins

Mendelian disease overlap and somatic drivers

GenCC: 0 · Orphanet: 8 · OMIM-shared: 0 · Dual-evidence (GWAS+Mendelian): 0

Orphanet rare-disease linkage (cohort genes)

GeneOrphanet IDRare disease
GATA1Orphanet:124Diamond-Blackfan anemia
GATA1Orphanet:231393Beta-thalassemia-X-linked thrombocytopenia syndrome
GATA1Orphanet:363727X-linked dyserythropoietic anemia with abnormal platelets and neutropenia
GATA1Orphanet:420611Transient myeloproliferative syndrome
GATA1Orphanet:67044Thrombocytopenia with congenital dyserythropoietic anemia
GATA1Orphanet:79277Congenital erythropoietic porphyria
GATA1Orphanet:86849Acute basophilic leukemia
GATA1Orphanet:99887Acute megakaryoblastic leukemia in children with Down syndrome

Cohort genes → proteins

1 cohort genes, 1 distinct canonical proteins.

Evidence partition

SubsetGenes
multi_evidence1

Cohort genes (full)

SymbolHGNCEnsemblUniProtNameEvidence
GATA1HGNC:4170ENSG00000102145P15976Erythroid transcription factorclinvar

Cohort function summary

Lead sentence per gene, UniProt-curated.

SymbolProtein nameFunction (lead sentence)
GATA1Erythroid transcription factorTranscriptional activator or repressor which serves as a general switch factor for erythroid development.

Protein-family classification

Druggable: 0 · Difficult: 1 · Unknown: 0 · Druggable fraction: 0.0

Family distribution

Cohort families vs a genome-wide background (hypergeometric, BH-FDR; fold = observed/expected). Counts kept; sorted by enrichment, so the catch-all Other/Unknown bucket no longer leads.

FamilyGenesFoldFDR
Transcription factor18.3×0.121

Per-gene assignment

SymbolFamilyDruggable?ECInterPro (top 3)
GATA1Transcription factornoZnf_GATA, Znf_NHR/GATA, Transcription_factor_GATA

Expression context

Cohort genes with no expression data: 0.

1 cohort gene are a single-cell marker in ≥1 SCXA experiment.

Breadth distribution (Bgee present_calls)

BucketGenes
narrow (1-5 tissues)0
moderate (6-20)0
broad (>20)1
unknown0

Top tissues across cohort

TissueCohort genes
blood1
bone marrow1
trabecular bone tissue1

Per-gene tissue summary (top 30)

SymbolBgee breadthFANTOM5 breadthSCXATop tissues
GATA1138tissue_specificmarkertrabecular bone tissue, blood, bone marrow

Protein interactions among cohort

Intra-cohort edges: 0.

Hub genes (top 10 by interactor count)

SymbolInteractor count
GATA14,810

Structural data

PDB: 1 · AlphaFold-only: 0 · No structure: 0

Cohort genes with PDB structures (top 30)

SymbolUniProtPDB entries
GATA1P159761

Function

Pathway analysis

Distinct Reactome pathways touched by cohort: 3. Enrichment computed across 1 evidence-associated genes (1 with Reactome annotation).

Pathways by enrichment

Over-representation of cohort genes vs the genome-wide background (hypergeometric test, Benjamini-Hochberg FDR; fold = observed/expected over 1 annotated cohort genes). Counts and members are kept as ground-truth; sorted by enrichment.

PathwayCohort genesFoldFDRSample cohort genes
RUNX1 regulates genes involved in megakaryocyte differentiation and platelet function1120.2×0.015GATA1
RUNX1 regulates transcription of genes involved in differentiation of HSCs195.2×0.015GATA1
Factors involved in megakaryocyte development and platelet production166.4×0.015GATA1

GO biological processes by enrichment

Over-representation of cohort genes vs the genome-wide background (hypergeometric test, Benjamini-Hochberg FDR; fold = observed/expected over 1 annotated cohort genes). Counts and members are kept as ground-truth; sorted by enrichment.

GO termCohort genesFoldFDRSample cohort genes
regulation of primitive erythrocyte differentiation18426.0×0.001GATA1
basophil differentiation18426.0×0.001GATA1
eosinophil fate commitment18426.0×0.001GATA1
regulation of definitive erythrocyte differentiation15617.3×0.001GATA1
regulation of glycoprotein biosynthetic process14213.0×0.001GATA1
eosinophil differentiation14213.0×0.001GATA1
primitive erythrocyte differentiation14213.0×0.001GATA1
myeloid cell apoptotic process12106.5×0.002GATA1
negative regulation of myeloid cell apoptotic process11872.4×0.002GATA1
positive regulation of mast cell degranulation11532.0×0.002GATA1
osteoblast proliferation11404.3×0.002GATA1
cellular response to follicle-stimulating hormone stimulus11404.3×0.002GATA1
megakaryocyte differentiation11203.7×0.002GATA1
positive regulation of osteoblast proliferation11203.7×0.002GATA1
Sertoli cell development11123.5×0.002GATA1
dendritic cell differentiation11053.2×0.002GATA1
negative regulation of bone mineralization1936.2×0.002GATA1
platelet formation1702.2×0.003GATA1
animal organ regeneration1601.9×0.003GATA1
erythrocyte development1526.6×0.004GATA1
positive regulation of erythrocyte differentiation1510.7×0.004GATA1
homeostasis of number of cells within a tissue1443.5×0.004GATA1
negative regulation of extrinsic apoptotic signaling pathway in absence of ligand1411.0×0.004GATA1
platelet aggregation1337.0×0.005GATA1
cell fate commitment1295.6×0.005GATA1
cellular response to cAMP1290.6×0.005GATA1
bone mineralization1271.8×0.005GATA1
erythrocyte differentiation1267.5×0.005GATA1
male gonad development1156.0×0.009GATA1
positive regulation of cytosolic calcium ion concentration1117.0×0.011GATA1

Therapeutics

Drug target analysis

Approved (phase 4): 0 · Phase ≥3: 0 · Phased (≥1): 0 · Undrugged: 1

Druggability breadth: 0 of 1 evidence-associated genes (0%) have a ChEMBL target (buckets above are over the deeply-mined display cohort).

Top cohort targets by molecule count

SymbolMoleculesMax phase
GATA100

Bioactivity and enzyme data

Enzyme cohort genes (≥1 EC): 0.

Pharmacogenomics

Cohort genes with a PharmGKB record: 1; with CPIC/DPWG dosing guidelines: 0.

No cohort gene has a CPIC/DPWG genotype-guided dosing guideline (PharmGKB).

Chemical tractability of cohort targets

0 approved/phased compounds have measured bioactivity against a cohort gene (and aren’t yet in disease-level trials). This is a research / tractability signal, NOT a therapeutic recommendation — a bioactivity row often reflects off-target or screening binding (e.g. promiscuous kinase inhibitors against a cohort kinase), implying no disease mechanism.

Druggability pyramid

Cohort genes binned by druggability tier (high → low):

TierDefinitionGenesSymbols
AApproved (phase 4 drug)0
BPhased (≥1) drug, not yet approved0
CDruggable family + PDB, no drug0
DDruggable family + AlphaFold only, no drug0
EDifficult family or no structure, no drug1GATA1

Undrugged target profiles

1 cohort genes are undrugged. Ranked by ‘starting-point quality’ (assay depth + drugged-partner adjacency).

SymbolChEMBL assaysDrugged partners (top 3)
GATA10

Clinical trials & evidence

Clinical trials

Clinical trials: 0.