4.5 Article

Deciphering associations for lung cancer risk through imputation and analysis of 12 316 cases and 16 831 controls

Journal

EUROPEAN JOURNAL OF HUMAN GENETICS
Volume 23, Issue 12, Pages 1723-1728

Publisher

SPRINGERNATURE
DOI: 10.1038/ejhg.2015.48

Keywords

-

Funding

  1. National Institute of Health (NIH) [U19CA148127, 5R01CA055769, 5R01CA127219, 5R01CA133996, 5R01CA121197, R01 CA111703, UO1 CA63673, R01 CA092039, CA074386, CA092824, CA090578]
  2. Cancer Research UK [C1298/A8780, C1298/A8362]
  3. HEAL
  4. Sanofi-Aventis
  5. Institut National du Cancer
  6. European Community (Integrated Project DNA repair) [LSHG-CT-2005-512113]
  7. Norwegian Cancer Association
  8. Czech Republic (RECAMO) [CZ.1.05/2.1.00/03.0101]
  9. Fred Hutchinson Cancer Research Center, an FP7 grant [REGPOT 245536]
  10. Estonian Government [SF0180142s08]
  11. EU
  12. TCGA [3230]

Ask authors/readers for more resources

Recent genome-wide association studies have identified common variants at multiple loci influencing lung cancer risk. To decipher the genetic basis of the association signals at 3q28, 5p15.33, 6p21.33, 9p21 and 12p13.33, we performed a meta-analysis of data from five genome-wide association studies in populations of European ancestry totalling 12 316 lung cancer cases and 16 831 controls using imputation to recover untyped genotypes. For four of the regions, it was possible to refine the association signal identifying a smaller region of interest likely to harbour the functional variant. Our analysis did not provide evidence that any of the associations at the loci being a consequence of synthetic associations rather than linkage disequilibrium with a common risk variant at these risk loci.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available