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Updated: Jan 10, 2026

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A Metadata-Driven Framework for Strengthening Pathogen Genomics Lessons from SARS-CoV-2.

Michael J Pavia1, Karen O'Connor2, Graciela Gonzalez-Hernandez3

  • 1Biodesign Center for Environmental Health Engineering, Arizona State University, Tempe AZ.

Medrxiv : the Preprint Server for Health Sciences
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Summary
This summary is machine-generated.

Most SARS-CoV-2 genome records lack patient data, limiting genomic epidemiology. Enriching these records with clinical and demographic information enhances pathogen genomic studies and evolutionary analysis.

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Area of Science:

  • Genomics
  • Epidemiology
  • Bioinformatics

Background:

  • Millions of SARS-CoV-2 genomes were sequenced during the COVID-19 pandemic.
  • Public repositories like GenBank and GISAID house these sequences.
  • Most sequence records lack crucial patient metadata, hindering large-scale genomic analysis.

Purpose of the Study:

  • To assess the completeness of metadata in GenBank for SARS-CoV-2.
  • To demonstrate the value of enriched clinical and demographic data for genomic epidemiology.
  • To provide a framework for metadata enrichment in pathogen genomics.

Main Methods:

  • Evaluated metadata completeness in GenBank records.
  • Analyzed the accessibility of patient-specific metadata in linked publications.
  • Developed an analytical use case using enriched metadata for SARS-CoV-2 genomic epidemiology.

Main Results:

  • GenBank records contained only 21.6% of host metadata on average.
  • ~0.02% of published articles provided accessible sequence-specific patient metadata.
  • Host stratification by clinical/demographic factors enabled examination of evolutionary dynamics and clinical outcomes.

Conclusions:

  • Metadata enrichment significantly enhances pathogen genomic studies.
  • The developed framework is applicable to other pathogens beyond SARS-CoV-2.
  • Improved metadata practices are crucial for maximizing the utility of pathogen genomic data.