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Discovery and prioritization of genetic determinants of kidney function in 297,355 individuals from Taiwan and Japan

Author

Listed:
  • Hung-Lin Chen

    (China Medical University
    China Medical University)

  • Hsiu-Yin Chiang

    (China Medical University
    China Medical University)

  • David Ray Chang

    (China Medical University
    Harvard Medical School)

  • Chi-Fung Cheng

    (China Medical University)

  • Charles C. N. Wang

    (Asia University)

  • Tzu-Pin Lu

    (National Taiwan University)

  • Chien-Yueh Lee

    (National Taipei University of Technology
    National Taipei University of Technology)

  • Amrita Chattopadhyay

    (China Medical University
    National Taiwan University)

  • Yu-Ting Lin

    (China Medical University
    China Medical University)

  • Che-Chen Lin

    (China Medical University)

  • Pei-Tzu Yu

    (China Medical University)

  • Chien-Fong Huang

    (China Medical University)

  • Chieh-Hua Lin

    (China Medical University)

  • Hung-Chieh Yeh

    (China Medical University)

  • I-Wen Ting

    (China Medical University)

  • Huai-Kuang Tsai

    (Academia Sinica)

  • Eric Y. Chuang

    (Industrial Technology Research Institute
    National Taiwan University
    National Taiwan University)

  • Adrienne Tin

    (University of Mississippi Medical Center)

  • Fuu-Jen Tsai

    (China Medical University
    China Medical University
    China Medical University Children’s Hospital
    Asia University)

  • Chin-Chi Kuo

    (China Medical University
    China Medical University
    China Medical University
    China Medical University)

Abstract

Current genome-wide association studies (GWAS) for kidney function lack ancestral diversity, limiting the applicability to broader populations. The East-Asian population is especially under-represented, despite having the highest global burden of end-stage kidney disease. We conducted a meta-analysis of multiple GWASs (n = 244,952) on estimated glomerular filtration rate and a replication dataset (n = 27,058) from Taiwan and Japan. This study identified 111 lead SNPs in 97 genomic risk loci. Functional enrichment analyses revealed that variants associated with F12 gene and a missense mutation in ABCG2 may contribute to chronic kidney disease (CKD) through influencing inflammation, coagulation, and urate metabolism pathways. In independent cohorts from Taiwan (n = 25,345) and the United Kingdom (n = 260,245), polygenic risk scores (PRSs) for CKD significantly stratified the risk of CKD (p

Suggested Citation

  • Hung-Lin Chen & Hsiu-Yin Chiang & David Ray Chang & Chi-Fung Cheng & Charles C. N. Wang & Tzu-Pin Lu & Chien-Yueh Lee & Amrita Chattopadhyay & Yu-Ting Lin & Che-Chen Lin & Pei-Tzu Yu & Chien-Fong Huan, 2024. "Discovery and prioritization of genetic determinants of kidney function in 297,355 individuals from Taiwan and Japan," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-53516-7
    DOI: 10.1038/s41467-024-53516-7
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    References listed on IDEAS

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