Microarray-based estimation of SNP allele-frequency in pooled DNA using the Langmuir kinetic model
2008

Estimating SNP Allele Frequencies in Pooled DNA Samples

Sample size: 100 publication 10 minutes Evidence: high

Author Information

Author(s): Yin Bin-Cheng, Li Honghua, Ye Bang-Ce

Primary Institution: East China University of Science & Technology

Hypothesis

Can a microarray-based method accurately estimate SNP allele frequencies in pooled DNA samples using the Langmuir kinetic model?

Conclusion

The study demonstrates a novel and cost-effective method for accurately estimating SNP allele frequencies in pooled DNA samples.

Supporting Evidence

  • The method can distinguish allele frequencies differing by 0.01.
  • Alleles with a frequency as low as 2% can be detected.
  • The correlation between measured and actual frequencies is very high (r2 = 0.9992).
  • The method is cost-effective and scalable for large studies.

Takeaway

This study shows a new way to find out how common different gene variations are in a group of people by mixing their DNA together and using special tests.

Methodology

The study used a microarray-based method to estimate allele frequencies by analyzing pooled DNA samples with a focus on the Langmuir kinetic model.

Potential Biases

Potential bias in allele frequency estimation due to unequal amplification of alleles.

Limitations

Pooling DNA samples may result in loss of haplotype information.

Participant Demographics

The study involved pooled DNA samples from 100 individuals with known genotypes.

Statistical Information

P-Value

p<0.0078

Statistical Significance

p<0.0078

Digital Object Identifier (DOI)

10.1186/1471-2164-9-605

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