Non-coding genetic elements of lung cancer identified using whole genome sequencing in 13,722 Chinese

A substantial portion of lung cancer-associated genetic elements in East Asian populations remains unidentified, underscoring the need for large-scale genome-wide studies, particularly on non-coding regulation. We conducted a whole genome sequencing (WGS)-based genome-wide scan in 13,722 Chinese individuals to identify regulatory elements associated with lung cancer. We verified common-variant-based loci by meta-analysis across the available East Asian studies. Integrating a genome-transcriptome reference panel of lung tissue in 297 Chinese, we bridged the variant-lung cancer associations, highlighting genes including TP63 and DCBLD1. Implementing the STAAR pipeline for rare variant aggregate analysis, we identified and replicated novel genes, including PARPBP, PLA2G4C, and RITA1 in the context of non-coding regulation. Adapting a deep learning-based approach, potential upstream regulators such as TP53, MYC, ZEB1, and NFKB1 were revealed for the lung cancer-associated genes. These findings offered crucial insights into the non-coding regulation for the etiology of lung cancer, providing additional potential targets for intervention.

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Publication Details

Journal
Nature Communications
Published
2025-08-09
DOI
https://doi.org/10.1038/s41467-025-62459-6
Citations
4
Primary Topic
RNA modifications and cancer
Type
article
Field-Weighted Citation Impact
3.22
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article

Non-coding genetic elements of lung cancer identified using whole genome sequencing in 13,722 Chinese

Kejia Hu, Fang Hu, Kui Wu, Xifeng Wu et al.
4 citations
Nature Communications
RNA modifications and cancer
3.22
article

Non-coding genetic elements of lung cancer identified using whole genome sequencing in 13,722 Chinese

Kejia Hu, Fang Hu, Kui Wu, Xifeng Wu, Xiaohang Xu, Fangming Yang, Ming Wu, Huakang Tu, Xin Jin, Wenyuan Li, Dan Zhou, Fuqiang Li, Tian Luo, Liyang Sun, Qilong Tan, Hanyi Zhou, Yuanxing Tu, Min Yang, Yun Zhu, Weifang Zheng
article en
4 citations

Abstract

A substantial portion of lung cancer-associated genetic elements in East Asian populations remains unidentified, underscoring the need for large-scale genome-wide studies, particularly on non-coding regulation. We conducted a whole genome sequencing (WGS)-based genome-wide scan in 13,722 Chinese individuals to identify regulatory elements associated with lung cancer. We verified common-variant-based loci by meta-analysis across the available East Asian studies. Integrating a genome-transcriptome reference panel of lung tissue in 297 Chinese, we bridged the variant-lung cancer associations, highlighting genes including TP63 and DCBLD1. Implementing the STAAR pipeline for rare variant aggregate analysis, we identified and replicated novel genes, including PARPBP, PLA2G4C, and RITA1 in the context of non-coding regulation. Adapting a deep learning-based approach, potential upstream regulators such as TP53, MYC, ZEB1, and NFKB1 were revealed for the lung cancer-associated genes. These findings offered crucial insights into the non-coding regulation for the etiology of lung cancer, providing additional potential targets for intervention.

Nature CommunicationsVol. 16(1)
BGI Group (China) (CN), Zhejiang Cancer Hospital (CN), Zhejiang Lab (CN), Hangzhou Xixi hospital (CN), Second Affiliated Hospital of Zhejiang University (CN), Hangzhou Cancer Hospital (CN), BGI Genomics, South China University of Technology (CN)
Good health and well-being
Openalex Percentile: Top 8%
RNA modifications and cancer
3.22
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