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Updated: Aug 15, 2026

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
Published on: August 4, 2016
Reporting and representation of population descriptors in public RNA-seq databases
Irene Gallego Romero1, Grace Rodenberg2, Audrey M Arner3
1St. Vincent's Institute of Medical Research, Fitzroy, VIC 3065, Australia; Mary MacKillop Institute for Health Research, Australian Catholic University, Fitzroy, VIC 3065, Australia; Institute of Genomics, University of Tartu, 51010 Tartu, Estonia; School of Medicine, University of Melbourne, Melbourne, VIC 3010, Australia.
Genomic datasets lack diversity, with most RNA sequencing samples from high-income countries. Reporting of population descriptors needs improvement to address widespread bias in public data.
Area of Science:
- Genomics
- Bioinformatics
- Population Genetics
Background:
- Diverse and globally representative datasets are crucial for advancing genomic science and medicine.
- Current public repositories may not adequately reflect global genetic diversity.
Purpose of the Study:
- To analyze population descriptor metadata from RNA sequencing studies in public repositories.
- To identify geographic and economic biases in data deposition.
- To assess the consistency and accuracy of reported population descriptors.
Main Methods:
- Analysis of population descriptor metadata from RNA sequencing (RNA-seq) studies in the Sequence Read Archive (SRA) and the Database of Genotypes and Phenotypes.
- Examination of geographic and economic characteristics of data-depositing institutions.
- Comparison of SRA descriptors with genetic ancestry estimates and publication data.
- Analysis of trends in data deposition over time.
Main Results:
- 55% of RNA-seq samples originated from United States institutions, and 90% from high-income countries.
- Only 3% of SRA samples had associated population descriptors.
- Among samples with US Census terms, 69% were labeled as White; 56% of samples with continental descriptors were labeled as European.
Conclusions:
- Significant geographic and economic biases exist in public RNA sequencing datasets.
- There is a critical need for consistent, accurate, and comprehensive reporting of population descriptors in genomic data repositories.
- Improving data descriptor reporting is essential for equitable genomic research and medicine.
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