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curl -X GET "https://api.omophub.com/v1/concepts/201826/relations/any" \
  -H "Authorization: Bearer YOUR_API_KEY"

{
  "success": true,
  "data": {
    "concept_id": 201826,
    "has_relations": true,
    "relation_summary": {
      "total_count": 15,
      "outbound_count": 8,
      "inbound_count": 7,
      "relationship_types": ["Maps to", "Is a", "Has finding site", "May be a"],
      "connected_vocabularies": ["SNOMED", "ICD10CM", "ICD9CM"],
      "has_standard_mappings": true
    },
    "checks_performed": {
      "included_relationship_types": ["all"],
      "included_vocabularies": ["all"],
      "included_reverse_relations": true,
      "included_invalid_relations": false
    }
  },
  "meta": {
    "request_id": "req_check_relations_123",
    "timestamp": "2024-12-22T10:00:00Z",
    "vocab_release": "2025.2"
  }
}

​
Overview

This lightweight endpoint quickly determines whether a concept has any relationships to other concepts. This is useful for UI components, validation logic, or filtering concepts that are isolated vs. connected in the terminology network.

​
Path Parameters

​
conceptId
integer
required
The unique OMOP concept ID to check for relationships

​
Query Parameters

​
relationship_types
string
Comma-separated list of relationship types to check (e.g., “Maps to”, “Is a”)
​
vocabulary_ids
string
Comma-separated list of vocabulary IDs to limit relationship check
​
include_reverse
boolean
default:"true"
Include reverse relationships (concepts that relate to this concept)
​
include_invalid
boolean
default:"true"
Include relationships to invalid/deprecated concepts
​
vocab_release
string
Specific vocabulary release version (e.g., “2024.1”)

​
Response

​
success
boolean
required
Indicates whether the request was successful
​
data
object
required
Response data containing relationship check results
​
meta
object
required
Response metadata and API information
curl -X GET "https://api.omophub.com/v1/concepts/201826/relations/any" \
  -H "Authorization: Bearer YOUR_API_KEY"

{
  "success": true,
  "data": {
    "concept_id": 201826,
    "has_relations": true,
    "relation_summary": {
      "total_count": 15,
      "outbound_count": 8,
      "inbound_count": 7,
      "relationship_types": ["Maps to", "Is a", "Has finding site", "May be a"],
      "connected_vocabularies": ["SNOMED", "ICD10CM", "ICD9CM"],
      "has_standard_mappings": true
    },
    "checks_performed": {
      "included_relationship_types": ["all"],
      "included_vocabularies": ["all"],
      "included_reverse_relations": true,
      "included_invalid_relations": false
    }
  },
  "meta": {
    "request_id": "req_check_relations_123",
    "timestamp": "2024-12-22T10:00:00Z",
    "vocab_release": "2025.2"
  }
}

​
Usage Examples

​
Simple Relationship Check

Check if a concept has any relationships: 
curl -X GET "https://api.omophub.com/v1/concepts/201826/relations/any" \
  -H "Authorization: Bearer YOUR_API_KEY"

​
Check for Standard Mappings

Check if concept has “Maps to” relationships: 
curl -G "https://api.omophub.com/v1/concepts/201826/relations/any" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  --data-urlencode "relationship_types=Maps to"

​
Check Cross-Vocabulary Relations

Check relationships to specific vocabularies: 
curl -X GET "https://api.omophub.com/v1/concepts/201826/relations/any?vocabulary_ids=ICD10CM,ICD9CM" \
  -H "Authorization: Bearer YOUR_API_KEY"

​
Batch Checking in Applications

Use in loops or batch processing to filter connected concepts:
TypeScript
interface RelCheck {
  has_relations: boolean;
  relation_summary: { total_count: number; has_standard_mappings: boolean };
}

const conceptIds = [201826, 4182210, 313217];
const connectedConcepts: Array<{ concept_id: number; relation_count: number }> = [];

for (const id of conceptIds) {
  const { data } = await client.get<RelCheck>(`/concepts/${id}/relations/any`);

  if (data?.has_relations && data.relation_summary.has_standard_mappings) {
    connectedConcepts.push({
      concept_id: id,
      relation_count: data.relation_summary.total_count,
    });
  }
}

​
Important Notes

  • Performance optimized - Much faster than fetching full relationship data
  • Filtering support - All the same filters as the full relations endpoint
  • UI integration - Perfect for showing relationship icons or badges
  • Batch processing - Ideal for filtering large concept lists
  • Standard mappings - The has_standard_mappings flag is useful for data quality checks