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Genetic landscape and functional exploration of kidney cancer predisposition in cross-ancestral populations  期刊论文  

  • 编号:
    F5911EB77CB910E3B860E01D72DA652E
  • 作者:
    Dai, Hongji(戴弘季)#[1,2,3,4]Chu, Xinlei(褚新雷)#[1,2,3,4]Du, Han#[1,2,3,4]Yang, Shutong[1,2,3,4];Yao, Yanxin[1,2,3,4];Yu, Xinru[1,2,3,4];Zhao, Yanrui(赵妍蕊)[1,2,3,4]Dong, Pei[5,6,7];Lyu, Zhangyan[1,2,3,4];Wang, Wei(王伟)[1,2,3,4]Li, Haixin(李海欣)[3,4,1]Mi, Zeyun[3,4,8];Sheng, Chao[3,4,8];Li, Xiangchun(李祥春)[3,4,8]Zheng, Hong(郑红)[1,2,3,4]Song, Fangfang(宋方方)[1,2,3,4]Song, Fengju(宋丰举)[1,2,3,4]Sun, Menghong[9,10];Dai, Juncheng[11,12];Lan, Qing[13];Rothman, Nathaniel[13];Hu, Zhibin[11,12];Wei, Qingyi[14];Ye, Dingwei*[10,15]Yao, Xin(姚欣)*[3,4,16]Jia, Weihua*[17,18]Chanock, Stephen J.*[13]Shen, Hongbing*[11,12]Purdue, Mark P.*[13]Li, Mulin Jun*[2,19]Chen, Kexin(陈可欣)*[1,2,3,4]
  • 语种:
    英文
  • 期刊:
    NATURE COMMUNICATIONS ISSN:2041-1723 2026 年 17 卷 1 期 ; APR 18
  • 收录:
  • 摘要:

    Renal cell carcinoma (RCC) is the most common type of kidney cancer, but its genetic architecture has not been fully characterized, particularly in Asian populations. Here, we perform a multi-ancestry meta-analysis of 33,712 RCC cases and 845,786 controls, including individuals of East Asian (5,313 cases and 96,912 controls), European (25,890 cases and 743,585 controls), African American (897 cases and 3,109 controls), and Latin American ancestry (1,612 cases and 2,180 controls), which unveils 10 novel RCC-associated loci and a Chinese-specific locus at 12p13.33. Leveraging genome-wide association study (GWAS) data and cross-ancestry expression quantitative trait loci (eQTLs) mapping from 266 kidney tissues, we refine the identification of putative causal variants and genes implicated in RCC. These findings are substantiated through CRISPR-based screenings and multiplexed single-cell perturbations. Additionally, we functionally validate a novel association between rs28684409 and the oncogene RPL4 at the complex genetic locus 15q22.31. This comprehensive genetic investigation underscores the utility of integrating cross-ancestry GWASs, QTLs, and functional screens to elucidate the genetic underpinnings of complex diseases.

  • 推荐引用方式
    GB/T 7714:
    Dai Hongji,Chu Xinlei,Du Han, et al. Genetic landscape and functional exploration of kidney cancer predisposition in cross-ancestral populations [J].NATURE COMMUNICATIONS,2026,17(1).
  • APA:
    Dai Hongji,Chu Xinlei,Du Han,Yang Shutong,&Chen Kexin.(2026).Genetic landscape and functional exploration of kidney cancer predisposition in cross-ancestral populations .NATURE COMMUNICATIONS,17(1).
  • MLA:
    Dai Hongji, et al. "Genetic landscape and functional exploration of kidney cancer predisposition in cross-ancestral populations" .NATURE COMMUNICATIONS 17,1(2026).
  • 入库时间:
    7/16/2026 9:37:57 PM
  • 更新时间:
    7/16/2026 9:37:57 PM
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