| Literature DB >> 24294113 |
Don A Baldwin1, Christopher P Sarnowski, Sabrina A Reddy, Ian A Blair, Margie Clapper, Philip Lazarus, Mingyao Li, Joshua E Muscat, Trevor M Penning, Anil Vachani, Alexander S Whitehead.
Abstract
A microarray (LungCaGxE), based on Illumina BeadChip 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.Entities:
Keywords: LungCaGxE; Tagger Batch Assistant; environmental exposures; genetic association
Mesh:
Year: 2013 PMID: 24294113 PMCID: PMC3792704 DOI: 10.7171/jbt.13-2404-004
Source DB: PubMed Journal: J Biomol Tech ISSN: 1524-0215