Outlier Expression Study: Outliers: (Outlier Study Help Page) All smokers are not affected in the same way by the carcinogens in smoke. Although tobacco/smoking is responsible for greater than 90% of all lung cancers, only a small percentage (10-15%) of smokers go on to develop cancer. Predicting this subset of smokers has not been very successful thus far using traditional smoking parameters such as: pack-years, age, sex and family history. It is our hypothesis however, that these parameters in concert with a genetic/expression profile may prove to be more effective in pre-diagnosing individual smokers who are particularly susceptible to lung cancer. Towards this goal, we have started to catalogue genes that exhibit aberrant expression in a subset of smokers i.e. outlier smokers in terms of gene expression. This page can be used to query the 40+ CURRENT Smokers in our database to 1) Look up a specific gene and determine how many expression outliers that gene has amongst our Current Smoker set or 2) Retrieve a list of genes that have more than a specified number of outliers in the Current Smoker set. (Outliers are determined using the Grubbs Statistical Test) Select genes by the following parameter: Using the gene Affymetrix ID: (You may need to scroll down to view results) Genes that have at least: outlier smokers