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Updated: May 10, 2026

Use of Alu Element Containing Minigenes to Analyze Circular RNAs
Published on: March 10, 2020
A comparison of 100 human genes using an alu element-based instability model.
George W Cook1, Miriam K Konkel, Jerilyn A Walker
1Department of Biological Sciences, Louisiana State University, Baton Rouge, Louisiana, United States of America.
Human Alu elements, the most abundant retrotransposons, show an imbalance in orientation pairs. A new model links this to genomic instability, identifying cancer genes as highly unstable.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Alu elements are the most numerous retrotransposons in the human genome, comprising over 10% of DNA.
- A higher prevalence of similarly oriented Alu pairs compared to inverted pairs suggests an unknown phenomenon.
- Inverted Alu pairs may lead to double-strand breaks, a potential mechanism for genomic instability.
Purpose of the Study:
- To investigate the cause of orientation bias in Alu element pairs.
- To develop a model for assessing genomic instability based on Alu element characteristics.
- To compare the instability of cancer-associated genes versus random genes.
Main Methods:
- Developed a genomic instability model incorporating Alu element "two-hit" potential and deletion probabilities.
- Applied the model to analyze 50 deletion-prone cancer genes and 50 randomly selected human genes.
- Evaluated the model's output against known gene instability patterns.
Main Results:
- The Alu element-based model accurately reflects the observed instability of deletion-prone cancer genes.
- Cancer genes were estimated to be 58% more unstable than randomly selected genes.
- Seven specific cancer genes (ATM, BRCA1, FANCA, FANCD2, MSH2, NCOR1, PBRM1) were among the top 10% most unstable.
Conclusions:
- The orientation bias of Alu elements is linked to genomic instability.
- The developed model provides a framework for quantifying gene instability.
- This approach may aid in assessing genetic risks associated with structural variations.
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