Grant Details
Grant Number: |
3U19CA203654-02S1 Interpret this number |
Primary Investigator: |
Amos, Christopher |
Organization: |
Baylor College Of Medicine |
Project Title: |
Research Supplements to Promote Sharing Data in Cancer Epidemiology Studies |
Fiscal Year: |
2018 |
Abstract
Abstract
The development of lung cancer is among the best-known examples of gene-environment interaction, whereby
lung cancer development is infrequent in nonsmokers but common in smokers, and heritability analysis clearly
indicates a considerable role of genetic factors in explaining lung cancer risk. However, assembling a large
enough sample to document gene-environment interactions has been challenging. Our proposal will bring
together most of the world's studies on lung cancer genetics and smoking allowing many investigators to
benefit from our efforts. In order to release the benefits that occur from low dose spiral CT screening a more
targeted approach to risk evaluation is likely to be important given the high number of positive findings on
screening and the high cost of screening to find affected individuals. We are proposing this supplement to
allow us to add data to dbGAP and to ensure that existing data already available to dbGAP as well as data we
have uploaded is imputed using greatly improved referent panels. This improved imputation will facilitate gene-
gene and gene-environment interaction analyses and allow us to perform functional annotations more
precisely. The specific aims of the supplement are:
1. To upload data from an Affymetrix Axiome array analysis of 12,260 participants comprised of
cases and controls from 9 sites. The data to be uploaded will include genotypes, demographics, smoking
behavior, and histology.
2. To impute data from all available genomic studies including the Oncoarray, Affymetrix Axiome
Array, African-American Studies, and never smoker American GWAS. Imputing these data to a newer
common standard will be valuable to the parent project by allowing more precise imputation of rare variants,
which play an important role in lung cancer risk. Additionally, the scientific community at large will benefit from
having access to these data because it will support better gene-gene and gene-environment interaction
analyses across a large number of samples and for multiple ethnicities.
Publications
None. See parent grant details.