Transcriptomic epidemiology of smoking: the effect of smoking on gene expression in lymphocytes.

BMC Medical Genomics
Jac C CharlesworthJohn Blangero

Abstract

This investigation offers insights into system-wide pathological processes induced in response to cigarette smoke exposure by determining its influences at the gene expression level. We obtained genome-wide quantitative transcriptional profiles from 1,240 individuals from the San Antonio Family Heart Study, including 297 current smokers. Using lymphocyte samples, we identified 20,413 transcripts with significantly detectable expression levels, including both known and predicted genes. Correlation between smoking and gene expression levels was determined using a regression model that allows for residual genetic effects. With a conservative false-discovery rate of 5% we identified 323 unique genes (342 transcripts) whose expression levels were significantly correlated with smoking behavior. These genes showed significant over-representation within a range of functional categories that correspond well with known smoking-related pathologies, including immune response, cell death, cancer, natural killer cell signaling and xenobiotic metabolism. Our results indicate that not only individual genes but entire networks of gene interaction are influenced by cigarette smoking. This is the largest in vivo transcriptomic epidemiological stu...Continue Reading

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Datasets Mentioned

BETA
E-TABM-305

Methods Mentioned

BETA
ELISA
in vitro transcription
chip

Software Mentioned

Illumina
Ingenuity Pathways Analysis
Ingenuity Pathways Knowledge Base
IPA
® BeadStudio
SOLAR
Ingenuity
® BeadScan
PREST

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