Signs & Symptoms
Based on Human Phenotype Ontology (HPO) disease-phenotype annotations.
Elevated red cell adenosine deaminase activity
Very frequent (80-99%)HP:0030270
Red cell aplasia
Very frequent (80-99%)HP:0012410
Abnormal head
Frequent (30-79%)HP:0000234
Birth weight less than 10th percentile
Frequent (30-79%)HP:0001518
Erythroid hypoplasia in the bone marrow
Frequent (30-79%)HP:0012133
Inactivity
Frequent (30-79%)HP:0001254
Increased MCV
Frequent (30-79%)HP:0005518
Macrocytic dyserythropoietic anemia
Frequent (30-79%)HP:0005532
Paleness
Frequent (30-79%)HP:0000980
Persistence of haemoglobin F
Frequent (30-79%)HP:0011904
Retarded growth
Frequent (30-79%)HP:0001510
Reticulocytopenia
Frequent (30-79%)HP:0001896
Abnormality of the arm
Occasional (5-29%)HP:0002817
Absent thumb
Occasional (5-29%)HP:0009777
Atria septal defect
Occasional (5-29%)HP:0001631
Bifid thumb
Occasional (5-29%)HP:0009944
Cardiac anomaly
Occasional (5-29%)HP:0001627
Cleft lip
Occasional (5-29%)HP:0410030
Cleft soft palate
Occasional (5-29%)HP:0000185
Decreased body height
Occasional (5-29%)HP:0004322
Fused kidneys
Occasional (5-29%)HP:0000085
High arched palate
Occasional (5-29%)HP:0000218
Hypoplastic myelodysplasia
Occasional (5-29%)HP:0002863
Hypospadias
Occasional (5-29%)HP:0000047
Leukopenia
Occasional (5-29%)HP:0001882
Neurodevelopmental delay
Occasional (5-29%)HP:0012758
Normochromic anaemia
Occasional (5-29%)HP:0001895
Pterygium colli
Occasional (5-29%)HP:0000465
Radial artery aplasia
Occasional (5-29%)HP:0020118
Renal aplasia
Occasional (5-29%)HP:0000104
Quick Facts
- SNOMED CT
- 71988008
- UMLS CUI
- C0265265
- Fully Specified Name
- Aase syndrome (disorder)
- Specialists
- 0
- Diagnostic Biomarkers
- 0
- HPO Phenotypes
- 30
Medical Disclaimer
This information is for educational purposes only and does not constitute medical advice, diagnosis, or treatment. Always consult with a qualified healthcare provider regarding any medical condition or treatment plan.
Clinical content is derived from the SNOMED CT clinical ontology and curated medical knowledge graphs.