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Development of a Genotyping Microarray for Studying the Role of Gene-environment Interactions in Risk for Lung Cancer

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Journal J Biomol Tech
Date 2013 Dec 3
PMID 24294113
Citations 4
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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.

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References
1.
Park J, Wacholder S, Gail M, Peters U, Jacobs K, Chanock S . Estimation of effect size distribution from genome-wide association studies and implications for future discoveries. Nat Genet. 2010; 42(7):570-5. PMC: 4615599. DOI: 10.1038/ng.610. View

2.
Nam M, Won H, Lee K, Kim J . Effectiveness of in silico tagSNP selection methods: virtual analysis of the genotypes of pharmacogenetic genes. Pharmacogenomics. 2007; 8(10):1347-57. DOI: 10.2217/14622416.8.10.1347. View

3.
Peiffer D, Le J, Steemers F, Chang W, Jenniges T, Garcia F . High-resolution genomic profiling of chromosomal aberrations using Infinium whole-genome genotyping. Genome Res. 2006; 16(9):1136-48. PMC: 1557768. DOI: 10.1101/gr.5402306. View

4.
Goode E, Fridley B, Sun Z, Atkinson E, Nord A, McDonnell S . Comparison of tagging single-nucleotide polymorphism methods in association analyses. BMC Proc. 2008; 1 Suppl 1:S6. PMC: 2367496. DOI: 10.1186/1753-6561-1-s1-s6. View

5.
Braithwaite K, Rabbitts P . Multi-step evolution of lung cancer. Semin Cancer Biol. 1999; 9(4):255-65. DOI: 10.1006/scbi.1999.0125. View