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Updated: Sep 4, 2025

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
Applying FHIR Genomics for Research - From Sequencing to Database
Sean Hernandez1, Karen Fairchild2,3, Mark Pemberton4
1Wake Forest School of Medicine, Winston-Salem, NC.
Harmonizing next-generation sequencing (NGS) genomic data to FHIR standards enables its integration into large databases. This facilitates clinical trial recruitment and advances genomic research.
Area of Science:
- Genomics
- Bioinformatics
- Health Informatics
Background:
- Next-generation sequencing (NGS) generates vast genomic datasets, but data lacks standardization.
- Current data formats (PDF, XML, JSON) hinder interoperability and analysis.
- Profiling external vendor testing platforms lacks uniformity.
Purpose of the Study:
- To harmonize and map genomic data to FHIR Genomic standards.
- To import harmonized genomic data into the TriNetX database.
- To establish a translatable process for other institutions and platforms.
Main Methods:
- Genomic data from Atrium Health Wake Forest Baptist was mapped to FHIR Genomic standards.
- A data pipeline was utilized to import the harmonized data into the TriNetX database.
- The process was designed for broad applicability to various sequencing platforms and institutions.
Main Results:
- Successfully harmonized and imported genomic data into the TriNetX database.
- Established a standardized data pipeline for genomic data integration.
- Demonstrated the translatability of the process for broader adoption.
Conclusions:
- Integrating standardized genomic data enhances phenotypic data reservoirs.
- Facilitates improved clinical trial recruitment and genomic benchmarking.
- Enables advanced inter-institutional genomic research and treatment paradigm shifts.
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