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Related Experiment Videos

New developments in high-throughput resequencing and variation detection using high density microarrays.

Janet A Warrington1, Nila A Shah, Xiyin Chen

  • 1Affymetrix, Inc., Santa Clara, California, USA. Janet_Warrington@affymetrix.com

Human Mutation
|April 5, 2002
PubMed
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We developed a high-throughput microarray method for single nucleotide polymorphism (SNP) discovery. This approach identified over 15,000 SNPs across 8.3 Mb of the human genome efficiently.

Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • High-throughput methods are crucial for genetic variation discovery.
  • Single nucleotide polymorphisms (SNPs) are key genetic markers.

Purpose of the Study:

  • To develop and optimize a high-throughput microarray-based method for SNP discovery.
  • To improve efficiency and reduce costs in genetic resequencing.

Main Methods:

  • Utilized high-density microarrays for resequencing DNA from 40 individuals across diverse ethnicities.
  • Implemented protocol improvements including long PCR, semi-automation, and enhanced array handling.
  • Developed automated systems for scanning, washing, and data management.

Main Results:

Related Experiment Videos

  • Achieved a throughput of 1.4 Mb per day per two personnel by optimizing feature size and array design.
  • Reduced labeling and fragmentation costs by 33% through protocol enhancements.
  • Identified over 15,000 SNPs within 8.3 Mb of the human genome.

Conclusions:

  • The developed high-density microarray method offers a cost-effective and efficient approach for large-scale SNP discovery.
  • Optimized protocols and automation significantly enhance throughput and reduce experimental costs.
  • This method provides a valuable tool for genomic research and variation analysis.