Assessment of whole genome amplification-induced bias through high-throughput, massively parallel whole genome sequencing

通过高通量、大规模并行全基因组测序评估全基因组扩增引起的偏差

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作者:Robert Pinard, Alex de Winter, Gary J Sarkis, Mark B Gerstein, Karrie R Tartaro, Ramona N Plant, Michael Egholm, Jonathan M Rothberg, John H Leamon

Background

Whole genome amplification is an increasingly common technique through which minute amounts of DNA can be multiplied to generate quantities suitable for genetic testing and analysis. Questions of amplification-induced error and template bias generated by these

Conclusion

Of the amplification methodologies examined in this paper, the multiple displacement amplification products generated the least bias, and produced significantly higher yields of amplified DNA.

Results

All amplification methodologies induced statistically significant bias relative to the unamplified control. For the Halobacterium species NRC-1 genome, assessed at 100 base resolution, the D-statistics from GenomiPhi-amplified material were 119 times greater than those from unamplified material, 164.0 times greater for Repli-G, 165.0 times greater for PEP-PCR and 252.0 times greater than the unamplified controls for DOP-PCR. For Campylobacter jejuni, also analyzed at 100 base resolution, the D-statistics from GenomiPhi-amplified material were 15 times greater than those from unamplified material, 19.8 times greater for Repli-G, 61.8 times greater for PEP-PCR and 220.5 times greater than the unamplified controls for DOP-PCR.

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