LOINC2HPO

LOINC2HPO maps LOINC-coded laboratory test results to Human Phenotype Ontology (HPO) terms to enable semantic integration of laboratory data for deep phenotyping and phenotype-driven analyses.


Key Features:

  • Semantic mapping: Maps LOINC-encoded laboratory test results, including results transmitted via Fast Healthcare Interoperability Resources (FHIR), to HPO terms.
  • Annotation of laboratory tests: Annotates 2923 commonly used laboratory tests with corresponding HPO terms.
  • Automated assessment: Assesses laboratory test results and translates them into specific HPO terms.
  • Validation on EHR data: Validated using electronic health record (EHR) data from 15,681 patients with respiratory complaints and identified known biomarkers for asthma.
  • Hierarchical utilization of HPO: Leverages the hierarchical structure of HPO to integrate distinct laboratory tests with comparable medical interpretations and support association studies.

Scientific Applications:

  • Phenotype analysis: Converts laboratory results into standardized HPO terms to support detailed phenotypic characterization.
  • Genetic research: Provides a framework for associating laboratory test results with specific phenotypic traits for genetic studies.
  • Clinical diagnostics: Supports identification of biomarkers and phenotype-driven investigations within clinical datasets.

Methodology:

Performs semantic mapping of LOINC (including FHIR-encoded results) to HPO, annotates 2923 laboratory tests, automatically translates test results into HPO terms, validates mappings on EHR data from 15,681 respiratory patients, and utilizes the HPO hierarchy to integrate related tests.

Topics

Collections

Details

License:
BSD-3-Clause
Maturity:
Mature
Cost:
Free of charge
Tool Type:
library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Java
Added:
8/9/2019
Last Updated:
8/20/2020

Operations

Publications

Zhang XA, Yates A, Vasilevsky N, Gourdine JP, Callahan TJ, Carmody LC, Danis D, Joachimiak MP, Ravanmehr V, Pfaff ER, Champion J, Robasky K, Xu H, Fecho K, Walton NA, Zhu RL, Ramsdill J, Mungall CJ, Köhler S, Haendel MA, McDonald CJ, Vreeman DJ, Peden DB, Bennett TD, Feinstein JA, Martin B, Stefanski AL, Hunter LE, Chute CG, Robinson PN. Semantic integration of clinical laboratory tests from electronic health records for deep phenotyping and biomarker discovery. npj Digital Medicine. 2019;2(1). doi:10.1038/s41746-019-0110-4. PMID:31119199. PMCID:PMC6527418.

Documentation

Links