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Bias in Whole Genome Amplification: Causes and Considerations
Jeffrey Sabina1, John H Leamon2
1, Suite 100 Goose Lane, Guilford, CT, 06437, USA. jeffrey.sabina@aya.yale.edu.
Methods in Molecular Biology (Clifton, N.J.)
|September 17, 2015
Summary
Whole genome amplification (WGA) methods introduce DNA bias, varying by technique and sample. Choosing the right WGA method requires considering the DNA template, sequencing platform, and research goals for accurate genetic analysis.
Area of Science:
- Molecular Biology
- Genomics
- Biotechnology
Background:
- Whole genome amplification (WGA) is crucial for genetic research using diverse samples like single cells and ancient DNA.
- Existing WGA techniques, despite their utility, are known to introduce distortions in the template DNA.
- Understanding these distortions is vital for reliable genetic data interpretation.
Purpose of the Study:
- To review and discuss the types of bias inherent in various WGA methods.
- To analyze the susceptibility of common WGA techniques to specific bias types.
- To explore the relationship between WGA bias and the characteristics of the template DNA.
Main Methods:
- Literature review of WGA techniques and their associated biases.
- Comparative analysis of different WGA methods regarding DNA distortion.
- Discussion of template DNA properties influencing amplification bias.
Main Results:
- WGA methods commonly distort template DNA, with bias type and extent varying significantly.
- The susceptibility to bias is dependent on both the WGA technique and the template DNA's properties.
- No single WGA method is universally unbiased; each has specific strengths and weaknesses.
Conclusions:
- Selecting an appropriate WGA method requires careful consideration of the DNA source and research objectives.
- Matching WGA techniques with specific template DNA and analytical platforms is key to minimizing bias.
- Optimizing WGA for genetic research involves balancing method, template, platform, and application for accurate results.
Keywords:
Amplification artifactsBiasDOP-PCRDriftMDAPEP-PCRSelectionSingle cell sequencingWhole genome amplification
