Skip to Main Content
Principal Investigator
Qingyi Wei
Duke Cancer Institute
Position Title
About this CDAS Project
PLCO (Learn more about this study)
Project ID
Initial CDAS Request Approval
Jul 17, 2014
Analysis of genetic variants and lung cancer risk and prognosis
The purpose of the study is to identify novel genetic factors and confirm putative genes associated with lung cancer risk, clinical features and survival. We previously have performed lung cancer GWAS analysis and reported multiple genetic variants associated with lung cancer risk. However, these GWAS-level significant single nucleotide polymorphisms (SNPs) explain only a small proportion of heritable lung cancer risk. Multiple approaches for secondary analysis GWAS datasets have been proposed and supposed to identify additional novel variant with moderate but measurable effects, thereby extend our knowledge about molecular mechanisms of lung cancer etiology. In this project, we will firstly perform single-locus analysis, epistasis analysis, gene-environment interaction analysis and set-based analysis to prioritize associated genes and pathways using the PLCO data and other GWAS data. Considering the detailed clinical information available in PLCO, we will also explore the associations between genetic variants, clinical features, treatment regimen and prognosis of lung cancer. These data will also be used to follow-up the findings from other candidate pathway analysis.

1. Identify multiple genetic variants associated with lung cancer risk, clinical features and prognosis in the PLCO data. We will also use the PLCO data to validate the findings from our study.
2. Identify genes and pathways associated with lung cancer risk and clinical features by performing set-based analysis in the PLCO data.
3. Develop risk prediction and prognostic models for lung cancer using genetic variables and clinical variables.

Related Publications