Genome-wide investigation of gene-environment interactions in colorectal cancer

Research output: Contribution to journalArticle

Abstract

Colorectal cancer (CRC), one of the most frequent neoplasias worldwide, has both genetic and environmental causes. As yet, however, gene-environment (G x E) interactions in CRC have been studied mostly for a small number of candidate genes only. Therefore, we investigated the possible interaction, in CRC etiology, between single-nucleotide polymorphisms (SNPs) on the one hand, and overweight, smoking and alcohol consumption on the other, at a genome-wide level. To this end, we adopted a two-tiered approach comprising a case-only screening stage I (314 cases) and a case-control validation stage II (259 cases, 1,002 controls). Interactions with the smallest p value in stage I were verified in stage II using multiple logistic regression analysis adjusted for sex and age. In addition, we specifically studied known CRC-associated SNPs for possible G x E interactions. Upon adjustment for sex and age, and after allowing for multiple testing, however, only a single SNP (rs1944511) was found to be involved in a statistically significant interaction, namely with overweight (multiplicity-corrected p = 0.042 in stage II). Several other G x E interactions were nominally significant but failed correction for multiple testing, including a previously reported interaction between rs9929218 and alcohol consumption that also emerged in our candidate SNP study (nominal p = 0.008). Notably, none of the interactions identified in our genome-wide analysis was with a previously reported CRC-associated SNP. Our study therefore highlights the potential of an "agnostic" genome-wide approach to G x E analysis.

Details

Authors
  • Sabine Siegert
  • Jochen Hampe
  • Clemens Schafmayer
  • Witigo von Schoenfels
  • Jan-Hendrik Egberts
  • Asta Försti
  • Bowang Chen
  • Jesus Lascorz
  • Kari Hemminki
  • Andre Franke
  • Michael Nothnagel
  • Ute Noethlings
  • Michael Krawczak
Organisations
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Medical Genetics
Original languageEnglish
Pages (from-to)219-231
JournalHuman Genetics
Volume132
Issue number2
Publication statusPublished - 2013
Publication categoryResearch
Peer-reviewedYes