Massively parallel variant-to-function mapping determines functional regulatory variants of non-small cell lung cancer

Abstract Genome-wide association studies have identified thousands of genetic variants associated with non-small cell lung cancer (NSCLC), however, it is still challenging to determine the causal variants and to improve disease risk prediction. Here, we applied massively parallel reporter assays to...

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Main Authors: Congcong Chen, Yang Li, Yayun Gu, Qiqi Zhai, Songwei Guo, Jun Xiang, Yuan Xie, Mingxing An, Chenmeijie Li, Na Qin, Yanan Shi, Liu Yang, Jun Zhou, Xianfeng Xu, Ziye Xu, Kai Wang, Meng Zhu, Yue Jiang, Yuanlin He, Jing Xu, Rong Yin, Liang Chen, Lin Xu, Juncheng Dai, Guangfu Jin, Zhibin Hu, Cheng Wang, Hongxia Ma, Hongbing Shen
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-56725-w
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author Congcong Chen
Yang Li
Yayun Gu
Qiqi Zhai
Songwei Guo
Jun Xiang
Yuan Xie
Mingxing An
Chenmeijie Li
Na Qin
Yanan Shi
Liu Yang
Jun Zhou
Xianfeng Xu
Ziye Xu
Kai Wang
Meng Zhu
Yue Jiang
Yuanlin He
Jing Xu
Rong Yin
Liang Chen
Lin Xu
Juncheng Dai
Guangfu Jin
Zhibin Hu
Cheng Wang
Hongxia Ma
Hongbing Shen
author_facet Congcong Chen
Yang Li
Yayun Gu
Qiqi Zhai
Songwei Guo
Jun Xiang
Yuan Xie
Mingxing An
Chenmeijie Li
Na Qin
Yanan Shi
Liu Yang
Jun Zhou
Xianfeng Xu
Ziye Xu
Kai Wang
Meng Zhu
Yue Jiang
Yuanlin He
Jing Xu
Rong Yin
Liang Chen
Lin Xu
Juncheng Dai
Guangfu Jin
Zhibin Hu
Cheng Wang
Hongxia Ma
Hongbing Shen
author_sort Congcong Chen
collection DOAJ
description Abstract Genome-wide association studies have identified thousands of genetic variants associated with non-small cell lung cancer (NSCLC), however, it is still challenging to determine the causal variants and to improve disease risk prediction. Here, we applied massively parallel reporter assays to perform NSCLC variant-to-function mapping at scale. A total of 1249 candidate variants were evaluated, and 30 potential causal variants within 12 loci were identified. Accordingly, we proposed three genetic architectures underlying NSCLC susceptibility: multiple causal variants in a single haplotype block (e.g. 4q22.1), multiple causal variants in multiple haplotype blocks (e.g. 5p15.33), and a single causal variant (e.g. 20q11.23). We developed a modified polygenic risk score using the potential causal variants from Chinese populations, improving the performance of risk prediction in 450,821 Europeans from the UK Biobank. Our findings not only augment the understanding of the genetic architecture underlying NSCLC susceptibility but also provide strategy to advance NSCLC risk stratification.
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spelling doaj-art-1b6afcf814f04198ab97daca7cc0f7d22025-02-09T12:44:18ZengNature PortfolioNature Communications2041-17232025-02-0116111610.1038/s41467-025-56725-wMassively parallel variant-to-function mapping determines functional regulatory variants of non-small cell lung cancerCongcong Chen0Yang Li1Yayun Gu2Qiqi Zhai3Songwei Guo4Jun Xiang5Yuan Xie6Mingxing An7Chenmeijie Li8Na Qin9Yanan Shi10Liu Yang11Jun Zhou12Xianfeng Xu13Ziye Xu14Kai Wang15Meng Zhu16Yue Jiang17Yuanlin He18Jing Xu19Rong Yin20Liang Chen21Lin Xu22Juncheng Dai23Guangfu Jin24Zhibin Hu25Cheng Wang26Hongxia Ma27Hongbing Shen28Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical UniversityDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical UniversityState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical UniversityDepartment of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical UniversityDepartment of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical UniversityDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical UniversityDepartment of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical UniversityDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical UniversityState Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical UniversityDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical UniversityDepartment of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical UniversityDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical UniversityDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical UniversityDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical UniversityDepartment of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical UniversityDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical UniversityDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical UniversityDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical UniversityDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical UniversityDepartment of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical UniversityJiangsu Key Laboratory of Molecular and Translational Cancer Research, Department of Thoracic Surgery Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing Medical University Affiliated Cancer HospitalDepartment of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical UniversityJiangsu Key Laboratory of Molecular and Translational Cancer Research, Department of Thoracic Surgery Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing Medical University Affiliated Cancer HospitalDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical UniversityDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical UniversityDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical UniversityDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical UniversityDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical UniversityDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical UniversityAbstract Genome-wide association studies have identified thousands of genetic variants associated with non-small cell lung cancer (NSCLC), however, it is still challenging to determine the causal variants and to improve disease risk prediction. Here, we applied massively parallel reporter assays to perform NSCLC variant-to-function mapping at scale. A total of 1249 candidate variants were evaluated, and 30 potential causal variants within 12 loci were identified. Accordingly, we proposed three genetic architectures underlying NSCLC susceptibility: multiple causal variants in a single haplotype block (e.g. 4q22.1), multiple causal variants in multiple haplotype blocks (e.g. 5p15.33), and a single causal variant (e.g. 20q11.23). We developed a modified polygenic risk score using the potential causal variants from Chinese populations, improving the performance of risk prediction in 450,821 Europeans from the UK Biobank. Our findings not only augment the understanding of the genetic architecture underlying NSCLC susceptibility but also provide strategy to advance NSCLC risk stratification.https://doi.org/10.1038/s41467-025-56725-w
spellingShingle Congcong Chen
Yang Li
Yayun Gu
Qiqi Zhai
Songwei Guo
Jun Xiang
Yuan Xie
Mingxing An
Chenmeijie Li
Na Qin
Yanan Shi
Liu Yang
Jun Zhou
Xianfeng Xu
Ziye Xu
Kai Wang
Meng Zhu
Yue Jiang
Yuanlin He
Jing Xu
Rong Yin
Liang Chen
Lin Xu
Juncheng Dai
Guangfu Jin
Zhibin Hu
Cheng Wang
Hongxia Ma
Hongbing Shen
Massively parallel variant-to-function mapping determines functional regulatory variants of non-small cell lung cancer
Nature Communications
title Massively parallel variant-to-function mapping determines functional regulatory variants of non-small cell lung cancer
title_full Massively parallel variant-to-function mapping determines functional regulatory variants of non-small cell lung cancer
title_fullStr Massively parallel variant-to-function mapping determines functional regulatory variants of non-small cell lung cancer
title_full_unstemmed Massively parallel variant-to-function mapping determines functional regulatory variants of non-small cell lung cancer
title_short Massively parallel variant-to-function mapping determines functional regulatory variants of non-small cell lung cancer
title_sort massively parallel variant to function mapping determines functional regulatory variants of non small cell lung cancer
url https://doi.org/10.1038/s41467-025-56725-w
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