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 language | English (US) |
|---|---|
| Pages (from-to) | 198-217 |
| Number of pages | 20 |
| Journal | Journal of Biomolecular Techniques |
| Volume | 24 |
| Issue number | 4 |
| DOIs | |
| State | Published - Dec 2013 |
All Science Journal Classification (ASJC) codes
- Molecular Biology
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