Signs & Symptoms
Based on Human Phenotype Ontology (HPO) disease-phenotype annotations.
Cryptorchidism
Very frequent (80-99%)HP:0000028
Decreased body height
Very frequent (80-99%)HP:0004322
Muscle hypertrophy of the lower extremities
Very frequent (80-99%)HP:0008968
Unilateral cryptorchidism
Very frequent (80-99%)HP:0012741
Abnormal internal genitalia
Frequent (30-79%)HP:0000812
Ambiguous external genitalia
Frequent (30-79%)HP:0000062
Ambiguous genitalia in males
Frequent (30-79%)HP:0000033
Ambiguous genitalia, female
Frequent (30-79%)HP:0000061
Azoospermia
Frequent (30-79%)HP:0000027
Cryptorchidism, bilateral
Frequent (30-79%)HP:0008689
Gonadotropin excess
Frequent (30-79%)HP:0000837
Hypospadias
Frequent (30-79%)HP:0000047
Male infertility
Frequent (30-79%)HP:0003251
Penoscrotal hypospadias
Frequent (30-79%)HP:0000808
Short penis
Frequent (30-79%)HP:0000054
Urogenital sinus anomaly
Frequent (30-79%)HP:0100779
Abnormal scrotum morphology
Occasional (5-29%)HP:0000045
Abnormality of cardiovascular system morphology
Occasional (5-29%)HP:0030680
Acalculia
Occasional (5-29%)HP:0002442
Aortic coarctation
Occasional (5-29%)HP:0001680
ASD
Occasional (5-29%)HP:0000729
Bicuspid aortic valve
Occasional (5-29%)HP:0001647
Bunion
Occasional (5-29%)HP:0001822
Cervix cancer
Occasional (5-29%)HP:0030079
Chordee
Occasional (5-29%)HP:0000041
Decreased serum testosterone level
Occasional (5-29%)HP:0040171
Delayed puberty
Occasional (5-29%)HP:0000823
Delayed skeletal development
Occasional (5-29%)HP:0002750
Elevated heart rate
Occasional (5-29%)HP:0001649
Epispadias
Occasional (5-29%)HP:0000039
Quick Facts
- SNOMED CT
- 83579008
- UMLS CUI
- C0018055
- Fully Specified Name
- Mixed gonadal dysgenesis (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.