New adjustment factors and sample size calculation in a DNA-pooling experiment with preferential amplification.

摘要: In the post-genome era, disease gene mapping using dense genetic markers has become an important tool for dissecting complex inheritable diseases. Locating susceptibility genes DNA-pooling experiments is a potentially economical alternative to those involving individual genotyping. The foundation of successful association test precise and accurate estimation allele frequency. this article, we propose two new adjustment methods that correct preferential amplification nucleotides when estimating frequency single-nucleotide polymorphisms. We also discuss effect sample size calibrating unequal allelic amplification. conducted simulation studies assess performance different procedures found our proposed adjustments are more reliable with respect bias root mean square error compared current approach. improved not only improves accuracy precision estimations but leads powerful mapping.