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Updated: May 14, 2026

Novel Sequence Discovery by Subtractive Genomics
Published on: January 25, 2019
Fusion genes and their discovery using high throughput sequencing
M J Annala1, B C Parker, W Zhang
1Tampere University of Technology, Tampere, Finland.
Abstract:
Fusion genes are hybrid genes that combine parts of two or more original genes. They can form as a result of chromosomal rearrangements or abnormal transcription, and have been shown to act as drivers of malignant transformation and progression in many human cancers. The biological significance of fusion genes together with their specificity to cancer cells has made them into excellent targets for molecular therapy. Fusion genes are also used as diagnostic and prognostic markers to confirm cancer diagnosis and monitor response to molecular therapies. High-throughput sequencing has enabled the systematic discovery of fusion genes in a wide variety of cancer types. In this review, we describe the history of fusion genes in cancer and the ways in which fusion genes form and affect cellular function. We also describe computational methodologies for detecting fusion genes from high-throughput sequencing experiments, and the most common sources of error that lead to false discovery of fusion genes.
Insights
Fusion genes, formed from combined genes, drive cancer development. Identifying these cancer-specific fusion genes is crucial for targeted therapies and diagnostics, aided by high-throughput sequencing.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Fusion genes are hybrid genes resulting from chromosomal rearrangements or abnormal transcription.
- They play a critical role in malignant transformation and cancer progression.
- Their cancer-specific nature makes them valuable therapeutic and diagnostic targets.
Purpose of the Study:
- To review the history and formation of fusion genes in cancer.
- To elucidate the impact of fusion genes on cellular function.
- To describe computational methods for detecting fusion genes and associated errors.
Main Methods:
- Literature review of fusion gene research.
- Description of molecular mechanisms of fusion gene formation.
- Explanation of computational approaches for fusion gene detection from high-throughput sequencing data.
Main Results:
- Fusion genes are significant drivers of various human cancers.
- High-throughput sequencing facilitates systematic discovery of fusion genes.
- Understanding fusion gene formation and detection is key to minimizing false discoveries.
Conclusions:
- Fusion genes are pivotal in cancer biology, offering targets for therapy and diagnostics.
- Computational tools are essential for identifying fusion genes from sequencing data.
- Awareness of potential errors in detection is critical for accurate results.
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