Target Sites for Mobile DNA Integration in the Human Genome
Author Information
Author(s): Berry Charles, Hannenhalli Sridhar, Leipzig Jeremy, Bushman Frederic D
Primary Institution: University of California San Diego
Hypothesis
What genomic features affect integration?
Conclusion
The study provides a comprehensive bioinformatic analysis that documents new associations between genomic features and integration targeting.
Supporting Evidence
- The study reveals that the length of genomic intervals analyzed strongly affects the conclusions drawn.
- Integration targeting by HIV, MLV, ASLV, SFV, L1, SB, and AAV was analyzed.
- The analysis involved more than 200 types of genomic annotation.
Takeaway
Some viruses and transposons can insert their DNA into our genes, and this study helps us understand where they like to land in our DNA.
Methodology
A comprehensive bioinformatic analysis was conducted using a mathematical method to annotate each base pair in the human genome for its likelihood of hosting an integration event.
Potential Biases
Potential biases in the recovery of integration sites due to the methods used for cloning and sequencing.
Limitations
The conclusions drawn can vary significantly based on the length of genomic intervals analyzed.
Statistical Information
P-Value
<10−14
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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