Biomedical subjects

Chia-Ching Pan

Publications and source records attributed to Chia-Ching Pan.

3 recordsLinked to original sources

PubMed2006

PDA: Pooled DNA analyzer.

BACKGROUND: Association mapping using abundant single nucleotide polymorphisms is a powerful tool for identifying disease susceptibility genes for complex traits and exploring possible genetic diversity. Genotyping large numbers of SNPs individually is performed routinely but is cost prohibitive for large-scale genetic studies. DNA pooling is a reliable and cost-saving alternative genotyping method. However, no software has been developed for complete pooled-DNA analyses, including data standardization, allele frequency estimation, and single/multipoint DNA pooling association tests. This motivated the development of the software, 'PDA' (Pooled DNA Analyzer), to analyze pooled DNA data. RESULTS: We develop the software, PDA, for the analysis of pooled-DNA data. PDA is originally implemented with the MATLAB language, but it can also be executed on a Windows system without installing the MATLAB. PDA provides estimates of the coefficient of preferential amplification and allele frequency. PDA considers an extended single-point association test, which can compare allele frequencies between two DNA pools constructed under different experimental conditions. Moreover, PDA also provides novel chromosome-wide multipoint association tests based on p-value combinations and a sliding-window concept. This new multipoint testing procedure overcomes a computational bottleneck of conventional haplotype-oriented multipoint methods in DNA pooling analyses and can handle data sets having a large pool size and/or large numbers of polymorphic markers. All of the PDA functions are illustrated in the four bona fide examples. CONCLUSION: PDA is simple to operate and does not require that users have a strong statistical background. The software is available at http://www.ibms.sinica.edu.tw/%7Ecsjfann/first%20flow/pda.htm.

Algorithms↗

PubMed2006

Absence of significant associations between four AKT1 SNP markers and schizophrenia in the Taiwanese population.

AKT1 (V-akt murine thymoma viral oncogene homolog 1) is a protein kinase isoform of AKT. Five single-nucleotide polymorphisms, rs3803300, rs1130214, rs3730358, rs2498799 and rs2494732, at the genomic region of AKT1 have been reported to be significantly associated with schizophrenia. We tested for the presence of these five single-nucleotide polymorphisms in a Taiwanese population by genotyping 218 co-affected schizophrenia families. Both single locus and haplotypes analyses showed no association of these single-nucleotide polymorphisms with schizophrenia. These findings fail to support AKT1 as a susceptibility gene for schizophrenia in the Taiwanese population.

Genetic Markers↗

PubMed2005

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

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

Algorithms↗