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Updated: Jan 31, 2026

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
Published on: August 20, 2019
Diagnosing rare diseases after the exome.
Laure Frésard1, Stephen B Montgomery1,2
1Department of Pathology, Stanford University, Stanford, California 94305, USA.
High-throughput sequencing aids rare disease diagnosis by identifying genetic variants. Recent advances help close the diagnostic gap when exome sequencing alone is insufficient.
Area of Science:
- Genomics
- Medical Genetics
- Molecular Biology
Background:
- High-throughput sequencing technologies have revolutionized genetic variant identification.
- Exome sequencing is a cost-effective method for diagnosing rare genetic diseases by analyzing protein-coding regions.
- A significant diagnostic gap remains for patients where exome sequencing fails to identify causative variants.
Purpose of the Study:
- To review recent advancements in genetic analysis techniques.
- To discuss strategies for reducing the diagnostic gap in rare genetic diseases.
- To highlight the evolving landscape of genomic medicine for patient diagnosis.
Main Methods:
- Review of current high-throughput sequencing methodologies.
- Analysis of recent literature on genetic variant detection beyond exonic regions.
- Discussion of emerging technologies and approaches for comprehensive genomic analysis.
Main Results:
- Exome sequencing has accelerated gene discovery and diagnosis for many rare diseases.
- Limitations of exome sequencing necessitate exploration of alternative genomic approaches.
- Recent technological progress offers new avenues for identifying pathogenic variants in non-coding regions and complex structural variations.
Conclusions:
- Continued innovation in sequencing technology is crucial for improving diagnostic yields in rare genetic disorders.
- Addressing the diagnostic gap requires a multi-faceted approach, integrating various genomic techniques.
- Advanced genomic strategies promise to enhance our understanding of genome structure and function, leading to better patient outcomes.
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