Affymetrix

Detection of DNA regions with an abnormal gain or loss enables the identification of critical genes and pathways responsible for the development and progression of a particular disease. In this presentation we will use ArrayAssist to analyze the 100K SNP NCI60 cell line data for Copy Number and LOH alterations in Non-Small Cell Lung Carcinoma (NSCLC) and to analyse 500K HapMap data from Affymetrix to investigate gender-based susceptibility to lung cancer in normal individuals. After data quality checking, the BRLMM algorithm will be used to assign genotype calls. Data from carcinoma cell lines will be compared to control cell lines and regions of genomic aberrations will be computed using Hidden Markov Models. These aberrations and associated putative genes will be visualized using the Genome Browser. SNP alterations from NSCLC patients will then be compared to the natural genotypic variation between normal males and females on the 500K arrays to identify if gender-biased susceptibility to the disease exists. The SNP alterations will also be compared to existing expression data and protein interaction networks will be identified.

Presenter: Dr. Pramila Tata

Session 1 -
9:00 AM EST (New York) / 14:00 GMT (London)

Event Number: 577833723
Event Password: genechip
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Session 2 -
10:00 AM PST (California) / noon CST (Chicago) / 1:00 PM EST (New York)

Event Number: 576023062
Event Password: genechip
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