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基于多祖先测序的513273个基因组中C反应蛋白的全基因组关联研究。

Multi-ancestry sequencing-based genome-wide association study of C-reactive protein in 513,273 genomes.

作者信息

Li Hongru, Zhao Jingyi, Dai Jinglan, You Dongfang, Zhao Yang, Christiani David C, Chen Feng, Shen Sipeng

机构信息

Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.

China International Cooperation Center of Environment and Human Health, Nanjing Medical University, 211166, Nanjing, China.

出版信息

Nat Commun. 2025 Apr 24;16(1):3892. doi: 10.1038/s41467-025-59155-w.

Abstract

C-reactive protein (CRP) serves as a pivotal marker of systemic inflammation, yet its genetic architecture has predominantly been explored within European populations. Our multi-ancestry sequencing-based genome-wide association study (seqGWAS) meta-analysis encompasses 447,369 Europeans, 10,389 Africans, 9685 Asians, and 9200 Hispanics in the discovery set, and 23,521 Europeans, 7160 Africans, 771 Asians, and 5178 Hispanics in the replication set. We identify 113 independent association signals (P ≤ 5 × 10 and P ≤ 0.05), including 21 loci that passed the conditional analysis, among which 3 are European-specific. Cross ancestry fine-mapping pinpoints 19 of 113 independent signals within the 95% credible set. Functional annotation reveals significant enrichment in blood tissue, H3K27me3 histone marks, and exonic regions. Leveraging the Polygenic Priority Score (PoPS) and gene-based analyses, we implicate 151 genes as potential regulators of CRP levels, 55 of which have not been previously reported. Among these, 17 genes and four proteins show causal evidence or strong colocalization with CRP-related pathologies.

摘要

C反应蛋白(CRP)是全身炎症的关键标志物,但其遗传结构主要是在欧洲人群中进行研究的。我们基于多血统测序的全基因组关联研究(seqGWAS)荟萃分析,在发现集中纳入了447369名欧洲人、10389名非洲人、9685名亚洲人和9200名西班牙裔,在复制集中纳入了23521名欧洲人、7160名非洲人、771名亚洲人和5178名西班牙裔。我们鉴定出113个独立关联信号(P≤5×10且P≤0.05),包括21个通过条件分析的位点,其中3个是欧洲特有的。跨血统精细定位在95%可信集内确定了113个独立信号中的19个。功能注释显示在血液组织、H3K27me3组蛋白标记和外显子区域有显著富集。利用多基因优先评分(PoPS)和基于基因的分析,我们确定了151个基因作为CRP水平的潜在调节因子,其中55个此前未被报道。其中,17个基因和四种蛋白质显示出与CRP相关病理的因果证据或强烈共定位。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1623/12022081/37660957f5e8/41467_2025_59155_Fig1_HTML.jpg

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