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Development of a genotyping microarray for studying the role of gene-environment interactions in risk for lung cancer

  • Don A. Baldwin
  • , Christopher P. Sarnowski
  • , Sabrina A. Reddy
  • , Ian A. Blair
  • , Margie Clapper
  • , Philip Lazarus
  • , Mingyao Li
  • , Joshua E. Muscat
  • , Revor M. Penning
  • , Anil Vachani
  • , Alexander S. Whitehead

Research output: Contribution to journalArticlepeer-review

Abstract

A microarray (LungCaGxE), based on Illumina Bead Chip technology, was developed for high-resolution genotyping of genes that are candidates for involvement in environmentally driven aspects of lung cancer oncogenesis and/or tumor growth. The iterative array design process illustrates techniques for managing large panels of candidate genes and optimizing marker selection, aided by a new bioinformatics pipeline component, Tagger Batch Assistant. The LungCaGxE platform targets 298 genes and the proximal genetic regions in which they are located, using ~13,000 DNA single nucleotide polymorphisms (SNPs), which include haplotype linkage markers with a minimum allele frequency of 1% and additional specifically targeted SNPs, for which published reports have indicated functional consequences or associations with lung cancer or other smoking-related diseases. The overall assay conversion rate was 98.9%; 99.0% of markers with a minimum Illumina design score of 0.6 successfully generated allele calls using genomic DNA from a study population of 1873 lung-cancer patients and controls.

Original languageEnglish (US)
Pages (from-to)198-217
Number of pages20
JournalJournal of Biomolecular Techniques
Volume24
Issue number4
DOIs
StatePublished - Dec 2013

All Science Journal Classification (ASJC) codes

  • Molecular Biology

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