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在来自台湾和日本的 297355 个人中发现和优先考虑肾功能的遗传决定因素。

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

机构信息

Big Data Center, China Medical University Hospital, China Medical University, Taichung, Taiwan.

Department of Biomedical Informatics, College of Medicine, China Medical University, Taichung, Taiwan.

出版信息

Nat Commun. 2024 Oct 29;15(1):9317. doi: 10.1038/s41467-024-53516-7.

DOI:10.1038/s41467-024-53516-7
PMID:39472450
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11522641/
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 < 0.0001). Further research is required to evaluate the clinical effectiveness of PRS in the early prevention of kidney disease.

摘要

目前针对肾功能的全基因组关联研究(GWAS)缺乏祖先多样性,限制了其在更广泛人群中的适用性。东亚人群的代表性尤其不足,尽管其终末期肾病的全球负担最高。我们对来自台湾和日本的多个 GWAS(n=244952)进行了荟萃分析,并对复制数据集(n=27058)进行了分析。这项研究在 97 个基因组风险位点中确定了 111 个主要 SNP。功能富集分析表明,与 F12 基因相关的变异和 ABCG2 中的错义突变可能通过影响炎症、凝血和尿酸代谢途径导致慢性肾脏病(CKD)。在来自台湾的独立队列(n=25345)和英国的独立队列(n=260245)中,CKD 的多基因风险评分(PRS)显著划分了 CKD 的风险(p<0.0001)。需要进一步研究以评估 PRS 在早期预防肾脏病方面的临床效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a7c/11522641/20e16f43d903/41467_2024_53516_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a7c/11522641/c38d5bf4826a/41467_2024_53516_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a7c/11522641/fa04f0bec33b/41467_2024_53516_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a7c/11522641/199d3356fdb4/41467_2024_53516_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a7c/11522641/d88b08b290fd/41467_2024_53516_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a7c/11522641/8b270ac071b5/41467_2024_53516_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a7c/11522641/20e16f43d903/41467_2024_53516_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a7c/11522641/c38d5bf4826a/41467_2024_53516_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a7c/11522641/fa04f0bec33b/41467_2024_53516_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a7c/11522641/199d3356fdb4/41467_2024_53516_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a7c/11522641/d88b08b290fd/41467_2024_53516_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a7c/11522641/8b270ac071b5/41467_2024_53516_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a7c/11522641/20e16f43d903/41467_2024_53516_Fig6_HTML.jpg

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