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Published on: April 11, 2016
The FDA's Experience with Emerging Genomics Technologies-Past, Present, and Future.
Joshua Xu1, Shraddha Thakkar1, Binsheng Gong1
1Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, Arkansas, USA.
The MicroArray Quality Control Consortium (MAQC) has established quality control standards for genomics technologies like RNA-seq, ensuring reliable data for regulatory decision-making. These advancements support the safety and efficacy assessment of FDA-regulated products.
Area of Science:
- Genomics
- Regulatory Science
- Bioinformatics
Background:
- Advancing genomics technologies necessitate robust validation for regulatory applications.
- The U.S. Food and Drug Administration (FDA) established the Voluntary Genomics Data Submission (VGDS) program.
- The FDA led the MicroArray Quality Control Consortium (MAQC) for 10 years to address genomics data quality.
Purpose of the Study:
- To establish reliability and robustness standards for genomics technologies in regulatory settings.
- To assess gene expression microarrays, whole genome genotyping arrays, and whole transcriptome sequencing (RNA-seq).
- To provide solutions for the fit-for-purpose application of genomics data in regulatory environments.
Main Methods:
- The MAQC consortium conducted projects assessing reproducibility, precision, specificity/sensitivity, and data interpretation.
- The SEquencing Quality Control (SEQC) project focused on next-generation sequencing using reference samples with built-in controls.
- Comparative analysis of RNA-seq and microarrays in clinical settings and safety assessments.
Main Results:
- MAQC projects have yielded peer-reviewed publications with basic parameters for genomics data in regulatory environments.
- SEQC studies demonstrated accurate and reliable relative gene expression measurement across laboratories and RNA-seq platforms.
- RNA-seq exhibits comparable prediction performance to microarrays, with enhanced sensitivity for low expression and novel transcriptomic feature discovery.
Conclusions:
- Established quality control measures ensure the reliability of genomics technologies for regulatory decision-making.
- RNA-seq is a reliable and sensitive tool for safety and efficacy assessments, offering advantages over microarrays.
- Future MAQC efforts will focus on quality control for whole genome and targeted sequencing.
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