Orphanet Database — Comprehensive Analysis

Rare Diseases
Intelligence Dashboard

11,456 entries · 15 fields · 20+ analytical questions answered
11,456Total Records
10Disorder Types
9Onset Categories
12Inheritance Patterns
18ICD-10 Chapters
6Cross-Ref Databases
Total Disorders
11,456
Orphanet catalog entries
Distinct Diseases
4,713
DisorderType = "Disease"
Malformation Syndromes
2,068
18% of catalog
Neonatal Onset
3,091
Most common onset age
Autosomal Recessive
2,599
Most common inheritance
Missing Data (Onset)
41%
4,727 records incomplete

Disorder Type Distribution

The catalog is dominated by Disease (41%), followed by Category (19%) and Malformation Syndrome (18%). Clinical subtypes, morphological anomalies, and clinical groups account for the remaining quarter.

Disorder Group Breakdown

65% are individual disorders, 23% are groups of disorders (umbrella categories), and 12% are subtypes of existing disorders.

Disorder
65%
Group of disorders
23%
Subtype of disorder
12%

Age of Onset Distribution

Neonatal (3,091) and Infancy (2,566) dominate — over 50% of rare diseases manifest in the first year of life. Adult-onset accounts for 1,486 entries. Elderly onset is the rarest documented category (347).

Early vs. Late Onset Profile

Breaking onset into lifecycle phases shows the overwhelming pediatric burden. The pre-birth + newborn window (Antenatal + Neonatal) alone covers 4,024 entries. Only a minority are primarily adult conditions.

Antenatal / Neonatal
~35%
Infancy / Childhood
~37%
Adult / Elderly
~16%

Inheritance Pattern Frequency

Autosomal recessive is the single most common mode (2,599 entries), narrowly ahead of autosomal dominant (1,943). X-linked recessive accounts for 388 entries — predominantly affecting males. Mitochondrial inheritance is rare (39).

Dominant vs. Recessive Breakdown

Counting all recessive modes (autosomal + X-linked + mitochondrial) vs. dominant modes, recessive conditions outnumber dominant ones by ~1.6:1. This ratio is clinically significant for genetic counseling and carrier screening.

ICD-10 Chapter Distribution

Congenital Anomalies (Q-codes) dominate with 2,916 entries — nearly 4x the next category. Nervous System disorders and Endocrine/Metabolic diseases each account for ~1,026 entries, highlighting the outsized role of neurological and metabolic rare diseases.

System Burden

The top 5 ICD-10 chapters together cover ~65% of all coded rare diseases.

Database Coding Coverage

ICD-10 covers 65.8% of records vs only 53.6% for ICD-11 — revealing a significant transition gap as the field moves to the newer standard.

ICD-10 coded
65.8%
ICD-11 coded
53.6%
OMIM linked
43.5%
GARD linked
33.5%

Cross-Reference Database Coverage

UMLS has the highest coverage at 84.1%, making it the most universally linked identifier. GARD has the lowest at 33.5%, indicating many rare diseases lack US registry representation. MedDRA coverage is just 7.4%.

Missing Data Analysis

The two most clinically critical fields — Age of Onset (41.2% missing) and Inheritance Pattern (47.9% missing) — have the largest gaps, limiting genomic counseling utility for nearly half the database.

FieldPresentMissingCoverage

Onset Pattern by Disorder Type

Malformation syndromes are overwhelmingly Neonatal/Antenatal (prenatal detectability). Diseases show a more even spread — including significant Adult onset. Categories are broadly distributed across all ages.

Inheritance Mode by Disorder Type

For pure Diseases, autosomal recessive leads (31%). For Malformation Syndromes, recessive and dominant are nearly equal (~28% each), reflecting heterogeneous developmental pathway disruptions.

Inheritance Pattern: Early vs. Late Onset

Early-onset diseases (Neonatal/Infancy/Antenatal) show a strong autosomal recessive skew — metabolic enzyme deficiencies and structural protein defects manifest at birth. Late-onset diseases (Adult/Elderly) show a higher proportion of autosomal dominant and multifactorial conditions.

Disease Nomenclature Analysis

The word "Syndrome" appears in 3,284 disease names — 29% of all entries — making it the dominant nomenclature pattern. "Disease" appears in 882 names. Deficiency (702) and Dysplasia (395) reveal common mechanistic themes.

Syndrome · 3,284 Disease · 882 Deficiency · 702 Dysplasia · 395 Dystrophy · 245

Multiple Inheritance Pattern Complexity

Of the 5,965 records with known inheritance, 872 (14.6%) have two or more inheritance modes listed, suggesting conditions with variable expressivity, heterogeneous mutations, or incomplete documentation. The most common combo: AD + AR (251 cases).

Most Frequent Multi-Onset Combinations

The most common onset combination is Infancy + Neonatal (1,466 cases), indicating diseases that appear at birth or within months. "All ages" (867) is the second most common — suggesting chronic conditions present throughout life.

OrphaCode Range Distribution (Discovery Era Proxy)

OrphaCodes are assigned sequentially, making code ranges a proxy for discovery era. Codes ≥50,000 account for 75.8% of all records — reflecting explosive growth in rare disease characterization in recent decades driven by genomics.

Codes <1000 (oldest): 872 · Codes 1K–50K: 1,901 · Codes ≥50K (newest): 8,683

X-Linked Disease Characteristics

Among the 493 X-linked disorders (XLR + XLD), X-linked recessive dominates at 79% — conditions affecting predominantly males. X-linked dominant (105) often have female-skewed or lethal-in-males profiles. X-linked diseases peak in Neonatal/Infancy onset.

X-linked Recessive
388
79% of X-linked
X-linked Dominant
105
21% of X-linked
Y-linked (rare)
3
Ultra-rare category
Mitochondrial
39
Maternally inherited

Top Disease Systems (Coded Entries)

Among the 7,541 ICD-10 coded entries, Congenital Anomalies represent 38.7% — nearly 4× the next largest system. Neurological + Metabolic together comprise another 27%, reinforcing that rare diseases disproportionately affect the brain and metabolism.

Data Quality & Completeness Scorecard

Assessing 6 critical fields across all 11,456 records reveals that the database has strong identifier coverage (UMLS, ICD-10) but critical gaps in clinical metadata (onset, inheritance) — the fields most important for patient care and research.

UMLS Identifier
84%
ICD-10 Code
66%
ICD-11 Code
54%
OMIM Link
44%
Age of Onset
59%
Inheritance Type
52%
GARD Link
34%
KEY FINDING
The database is strongest on classification identifiers but weakest on clinical phenotype metadata — the gap most critical to bridge for AI-assisted diagnosis and patient matching.