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Updated: Aug 14, 2026

Use of Alu Element Containing Minigenes to Analyze Circular RNAs
Published on: March 10, 2020
Whole genome computational comparative genomics: A fruitful approach for ascertaining Alu insertion polymorphisms
Jianxin Wang1, Lei Song, M Katherine Gonder
1Department of Cancer Genetics, Roswell Park Cancer Institute, Elm and Carlton Streets, Buffalo, NY 14263, USA.
Researchers identified 800 polymorphic Alu insertions, valuable genetic markers for human population studies. These elements contribute to genome diversity and reveal new Alu subfamilies and retrotransposition activity patterns.
Area of Science:
- Genomics
- Human Genetics
- Molecular Evolution
Background:
- Alu elements are the most active short interspersed elements (SINEs) in the human genome.
- Polymorphic Alu insertions contribute to human genome diversity and serve as genetic markers.
Purpose of the Study:
- To identify polymorphic Alu insertions using in silico comparative genomics.
- To analyze the genomic distribution patterns of these insertions.
Main Methods:
- Comparative genomics analysis of human genome assemblies (public and Celera).
- Identification of 800 polymorphic Alu elements.
- Validation using polymerase chain reaction (PCR) assays on a human diversity panel.
Main Results:
- Discovery of 800 polymorphic Alu insertions, including three new subfamilies (Ya3, Ya4b, Yb11).
- Yb11 identified as the smallest Alu subfamily; Yb11, Ya8, Ya5, Yb9, and Yb8 show high retrotransposition activity.
- Polymorphic Alu insertions exhibit target site duplications (TSDs), longer polyA-tails, and specific pre-integration motifs ('NT-AARA').
- Insertion polymorphism density correlates positively with Alu-site availability and inversely with older Alu elements and gene densities.
Conclusions:
- The study successfully identified and characterized numerous polymorphic Alu insertions.
- These findings enhance understanding of Alu element dynamics, human genome diversity, and population genetics.
- New Alu subfamilies and their activity patterns provide insights into SINE evolution.
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