Your browser has javascript turned off or blocked. This will lead to some parts of our website to not work properly or at all. Turn on javascript for best performance.

The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here:

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Default user image.

Olle Melander

Principal investigator

Default user image.

Transcriptome-wide association study reveals candidate causal genes for lung cancer


  • Yohan Bossé
  • Zhonglin Li
  • Jun Xia
  • Venkata Manem
  • Robert Carreras-Torres
  • Aurélie Gabriel
  • Nathalie Gaudreault
  • Demetrius Albanes
  • Melinda C. Aldrich
  • Angeline Andrew
  • Susanne Arnold
  • Heike Bickeböller
  • Stig E. Bojesen
  • Paul Brennan
  • Hans Brunnstrom
  • Neil Caporaso
  • Chu Chen
  • David C. Christiani
  • John K. Field
  • Gary Goodman
  • Kjell Grankvist
  • Richard Houlston
  • Mattias Johansson
  • Mikael Johansson
  • Lambertus A. Kiemeney
  • Stephen Lam
  • Maria T. Landi
  • Philip Lazarus
  • Loic Le Marchand
  • Geoffrey Liu
  • Olle Melander
  • Gadi Rennert
  • Angela Risch
  • Susan M. Rosenberg
  • Matthew B. Schabath
  • Sanjay Shete
  • Zhuoyi Song
  • Victoria L. Stevens
  • Adonina Tardon
  • H. Erich Wichmann
  • Penella Woll
  • Shan Zienolddiny
  • Ma'en Obeidat
  • Wim Timens
  • Rayjean J. Hung
  • Philippe Joubert
  • Christopher I. Amos
  • James D. McKay

Summary, in English

We have recently completed the largest GWAS on lung cancer including 29,266 cases and 56,450 controls of European descent. The goal of our study has been to integrate the complete GWAS results with a large-scale expression quantitative trait loci (eQTL) mapping study in human lung tissues (n = 1,038) to identify candidate causal genes for lung cancer. We performed transcriptome-wide association study (TWAS) for lung cancer overall, by histology (adenocarcinoma, squamous cell carcinoma and small cell lung cancer) and smoking subgroups (never- and ever-smokers). We performed replication analysis using lung data from the Genotype-Tissue Expression (GTEx) project. DNA damage assays were performed in human lung fibroblasts for selected TWAS genes. As expected, the main TWAS signal for all histological subtypes and ever-smokers was on chromosome 15q25. The gene most strongly associated with lung cancer at this locus using the TWAS approach was IREB2 (pTWAS = 1.09E−99), where lower predicted expression increased lung cancer risk. A new lung adenocarcinoma susceptibility locus was revealed on 9p13.3 and associated with higher predicted expression of AQP3 (pTWAS = 3.72E−6). Among the 45 previously described lung cancer GWAS loci, we mapped candidate target gene for 17 of them. The association AQP3-adenocarcinoma on 9p13.3 was replicated using GTEx (pTWAS = 6.55E−5). Consistent with the effect of risk alleles on gene expression levels, IREB2 knockdown and AQP3 overproduction promote endogenous DNA damage. These findings indicate genes whose expression in lung tissue directly influences lung cancer risk.


  • LUCC - Lund University Cancer Centre
  • Improved diagnostics and prognostics of lung cancer and metastases to the lungs
  • EXODIAB: Excellence in Diabetes Research in Sweden
  • EpiHealth: Epidemiology for Health
  • Cardiovascular Research - Hypertension

Publishing year







International Journal of Cancer





Document type

Journal article


John Wiley and Sons


  • Medical Genetics
  • Cancer and Oncology


  • GWAS
  • lung cancer
  • lung eQTL
  • transcriptome-wide association study



Research group

  • Improved diagnostics and prognostics of lung cancer and metastases to the lungs
  • Cardiovascular Research - Hypertension


  • ISSN: 0020-7136