ArticleNature communications2025
Non-coding genetic elements of lung cancer identified using whole genome sequencing in 13,722 Chinese.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Neural regulation in lung cancer: from mechanisms to new therapeutic perspectives.Clinical and experimental medicine · 2026Review
- Tracing the genetic legacy of Altaic-speaking populations suggested long-distance migration and multi-source admixture shape the genomic diversity of Xibe and Daur.Human genetics · 2026Article
- Gene-based lung cancer detection system through omix data and optimized convolutional neural network.Journal of computer-aided molecular design · 2026Article
- Integrated genetic and geographic ancestry prediction via large-scale genomic data and machine learning.Human genomics · 2025Article
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20 authors.
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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.
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