Grant Number:	5R01CA134682-06 Interpret this number
Primary Investigator:	You, Ming
Organization:	Medical College Of Wisconsin
Project Title:	Genome-Wide Association Studies of Inherited Predisposition to Lung Cancer
Fiscal Year:	2013

DESCRIPTION (provided by applicant): The long-term goal of this proposal is to identify genetic modifiers of lung cancer induction. Although lung cancer is largely induced by smoking, there is strong evidence for genetic susceptibility and gene-environment interactions in the development of lung cancer. However, the identification of genetic factors underlying lung cancer induction in humans is impeded by limited genetic variation in human populations and by limitations in conducting genetic analysis in humans. Inbred mouse models offer an effective means of identifying candidate lung cancer susceptibility loci by using controlled mating as well as controlled tobacco exposure. The effectiveness of the inbred mouse model was demonstrated by genetic linkage studies using various strains of inbred mice by having mapped several pulmonary adenoma susceptibility (Pas) and pulmonary adenoma resistance (Par) loci. With the increasing number of available mouse polymorphic genetic markers, genome- wide association (GWA) analysis has become an important genetic method to identify novel quantitative trait loci (QTL) and to fine-map previously identified QTL. We hypothesize that genetic modifiers for lung tumorigenesis can be identified using large populations of relevant individuals (mice or humans) and genome-wide set of single nucleotide polymorphisms (SNPs) for each subject. Three aims are proposed to accomplish our goal. In aim 1, we will conduct GWA analysis to map mouse lung tumor susceptibility QTL in response to tobacco smoke in 44 strains of mice using more than 190,000 SNP markers. In aim 2, we will examine human homologues of mouse susceptibility loci in high risk lung cancer families and sporadic lung cancer populations. Finally, these candidate genes indentified in Aim 2 will be further examined using funcational analyses in Aim 3. The significance of these studies is that they will identify human lung cancer genetic modifiers which confer increased risk of lung cancer and will help in developing mouse models relevant to these loci. The innovative aspect of this proposal is that we will examine the correlation between human and mouse susceptibility loci.





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