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[Preprint]. 2026 May 15:2026.05.11.26352741. [Version 1] doi: 10.64898/2026.05.11.26352741

Large-scale association study identifies lung cancer susceptibility copy number variants and their potential functional role in genetic instability

Feifei Xiao, Fei Qin, Xizhi Luo, Shannon E Slewitzke, Gail F Fernandes, Mattias Johansson, Xiangjun Xiao, David Zaridze, Stig Egil Bojesen, Sanjay Shete, Demetrios Albanes, Melinda C Aldrich, Adonina Tardon, Guillermo Fernandez-Tardon, Loïc Le Marchand, Gad Rennert, Heike Bickeböller, H-Erich Wichmann, Angela Risch, Thomas Muley, Albert Rosenberger, John K Field, Michael Davies, Penella Woll, Lambertus A Kiemeney, Aage Haugen, Shanbeh Zienolddiny, Stephen Lam, Mikael Johansson, Kjell Grankvist, Matthew B Schabath, Angeline Andrew, Philip Lazarus, Susanne M Arnold, Dakai Zhu, Hermann Brenner, Marian L Neuhouser, Rayjean J Hung, David C Christiani, James McKay, Guoshuai Cai, Jun Xia, Christopher I Amos
PMCID: PMC13193147  PMID: 42180356

Abstract

Background

Genome-wide association studies (GWAS) have identified numerous lung cancer susceptibility loci based on single nucleotide polymorphisms (SNPs), yet a substantial proportion of heritability remains unexplained. We therefore evaluated germline copy number variants (CNVs) as an underexplored source of genetic susceptibility and potential contributors to genomic instability in lung cancer.

Methods

We conducted a genome-wide analysis of germline CNVs using 19,342 cases and 15,917 controls from the Transdisciplinary Research in Cancer of the Lung (TRICL) consortium, with replication in two independent cohorts. High-confidence CNVs were identified by integrating two CNV callers including PennCNV and modSaRa2. Association analyses were performed using both gene-based and CNV region–based approaches. Polygenic risk scores (PRS) were constructed from top loci, and functional validation was conducted using siRNA-mediated knockdown in lung fibroblast cells.

Results

We identified CNVs in four genomic regions (1p36.22, 2q31.2, 6p21.32, and 19q13.32) significantly associated with lung cancer risk. Two loci (1p36.22 and 2q31.2) were consistently supported across both analytical strategies. A CNV-based PRS constructed from key genes (CLCN6, NFE2L2, OPA3, and PSMB8) was significantly associated with lung cancer risk and replicated across independent datasets. Functional assays demonstrated that knockdown of NFE2L2 and OPA3 increased endogenous DNA damage, supporting a role in genomic stability.

Conclusions

Germline CNVs contribute to lung cancer susceptibility and may influence carcinogenesis through mechanisms related to genomic instability.

Impact

These findings expand the genetic architecture of lung cancer and highlight CNVs as potential biomarkers for improving risk stratification and informing precision prevention strategies.

Full Text Availability

The license terms selected by the author(s) for this preprint version do not permit archiving in PMC. The full text is available from the preprint server.


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