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A genome-wide study of preferential amplification/hybridization in microarray-based pooled DNA experiments.

Publication ,  Journal Article
Yang, H-C; Liang, Y-J; Huang, M-C; Li, L-H; Lin, C-H; Wu, J-Y; Chen, Y-T; Fann, CSJ
Published in: Nucleic Acids Res
2006

Microarray-based pooled DNA methods overcome the cost bottleneck of simultaneously genotyping more than 100 000 markers for numerous study individuals. The success of such methods relies on the proper adjustment of preferential amplification/hybridization to ensure accurate and reliable allele frequency estimation. We performed a hybridization-based genome-wide single nucleotide polymorphisms (SNPs) genotyping analysis to dissect preferential amplification/hybridization. The majority of SNPs had less than 2-fold signal amplification or suppression, and the lognormal distributions adequately modeled preferential amplification/hybridization across the human genome. Comparative analyses suggested that the distributions of preferential amplification/hybridization differed among genotypes and the GC content. Patterns among different ethnic populations were similar; nevertheless, there were striking differences for a small proportion of SNPs, and a slight ethnic heterogeneity was observed. To fulfill appropriate and gratuitous adjustments, databases of preferential amplification/hybridization for African Americans, Caucasians and Asians were constructed based on the Affymetrix GeneChip Human Mapping 100 K Set. The robustness of allele frequency estimation using this database was validated by a pooled DNA experiment. This study provides a genome-wide investigation of preferential amplification/hybridization and suggests guidance for the reliable use of the database. Our results constitute an objective foundation for theoretical development of preferential amplification/hybridization and provide important information for future pooled DNA analyses.

Duke Scholars

Published In

Nucleic Acids Res

DOI

EISSN

1362-4962

Publication Date

2006

Volume

34

Issue

15

Start / End Page

e106

Location

England

Related Subject Headings

  • Polymorphism, Single Nucleotide
  • Oligonucleotide Array Sequence Analysis
  • Nucleic Acid Hybridization
  • Nucleic Acid Amplification Techniques
  • Humans
  • Genome, Human
  • Gene Frequency
  • Developmental Biology
  • Databases, Nucleic Acid
  • 41 Environmental sciences
 

Citation

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Yang, H.-C., Liang, Y.-J., Huang, M.-C., Li, L.-H., Lin, C.-H., Wu, J.-Y., … Fann, C. S. J. (2006). A genome-wide study of preferential amplification/hybridization in microarray-based pooled DNA experiments. Nucleic Acids Res, 34(15), e106. https://doi.org/10.1093/nar/gkl446
Yang, H. -. C., Y. -. J. Liang, M. -. C. Huang, L. -. H. Li, C. -. H. Lin, J. -. Y. Wu, Y. -. T. Chen, and C. S. J. Fann. “A genome-wide study of preferential amplification/hybridization in microarray-based pooled DNA experiments.Nucleic Acids Res 34, no. 15 (2006): e106. https://doi.org/10.1093/nar/gkl446.
Yang H-C, Liang Y-J, Huang M-C, Li L-H, Lin C-H, Wu J-Y, et al. A genome-wide study of preferential amplification/hybridization in microarray-based pooled DNA experiments. Nucleic Acids Res. 2006;34(15):e106.
Yang, H. .. C., et al. “A genome-wide study of preferential amplification/hybridization in microarray-based pooled DNA experiments.Nucleic Acids Res, vol. 34, no. 15, 2006, p. e106. Pubmed, doi:10.1093/nar/gkl446.
Yang H-C, Liang Y-J, Huang M-C, Li L-H, Lin C-H, Wu J-Y, Chen Y-T, Fann CSJ. A genome-wide study of preferential amplification/hybridization in microarray-based pooled DNA experiments. Nucleic Acids Res. 2006;34(15):e106.
Journal cover image

Published In

Nucleic Acids Res

DOI

EISSN

1362-4962

Publication Date

2006

Volume

34

Issue

15

Start / End Page

e106

Location

England

Related Subject Headings

  • Polymorphism, Single Nucleotide
  • Oligonucleotide Array Sequence Analysis
  • Nucleic Acid Hybridization
  • Nucleic Acid Amplification Techniques
  • Humans
  • Genome, Human
  • Gene Frequency
  • Developmental Biology
  • Databases, Nucleic Acid
  • 41 Environmental sciences