Unknown

Dataset Information

Gene-set meta-analysis of lung cancer identifies pathway related to systemic lupus erythematosus.


ABSTRACT:

Introduction

Gene-set analysis (GSA) is an approach using the results of single-marker genome-wide association studies when investigating pathways as a whole with respect to the genetic basis of a disease.

Methods

We performed a meta-analysis of seven GSAs for lung cancer, applying the method META-GSA. Overall, the information taken from 11,365 cases and 22,505 controls from within the TRICL/ILCCO consortia was used to investigate a total of 234 pathways from the Kyoto Encyclopedia of Genes and Genomes (KEGG) database.

Results

META-GSA reveals the systemic lupus erythematosus KEGG pathway hsa05322, driven by the gene region 6p21-22, as also implicated in lung cancer (p = 0.0306). This gene region is known to be associated with squamous cell lung carcinoma. The most im

SUBMITTER: Rosenberger A 

PROVIDER: S-EPMC5342225 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature