解读髋骨关节炎和股骨颈骨矿物质密度之间的共同遗传结构。

IF 2.8 3区 生物学 Q2 GENETICS & HEREDITY
Frontiers in Genetics Pub Date : 2025-09-19 eCollection Date: 2025-01-01 DOI:10.3389/fgene.2025.1597005
Jianguo Zhou, Junfu Na, Zongkun Jiang, Xiaoyan Dou, Shixuan Wang, Hongtao Li, Jian Kang
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引用次数: 0

摘要

背景:虽然髋骨关节炎(HOA)和股骨颈骨矿物质密度(FN-BMD)之间的关联是确定的,但它们共同的遗传结构仍然难以捉摸。本研究旨在探讨其遗传相关性及其机制。方法:本研究采用双向孟德尔随机化(MR)研究HOA与FN-BMD之间的因果关系。遗传相关性的量化是通过连锁不平衡评分回归(LDSC)和高清晰度似然推断(HDL)来实现的。全基因组关联研究(MTAG)的多性状分析已被证明可以提高统计分辨率,从而揭示迄今未报道的遗传关联。通过条件联合分析(GCTA-COJO)确定独立的MTAG-HOA风险位点,并辅以功能映射和注释(fua)功能注释。MAGMA和GCTA-fastBAT的应用揭示了与MTAG-HOA易感性相关的多效性基因。将来自这些基因座的精细定位基因与风险相关候选基因整合,鉴定出13个关键的hoa相关基因。使用基因本体(GO)和KEGG(京都基因与基因组百科全书)途径富集分析对这13个关键基因进行功能注释。多组织转录组关联研究(TWAS)探讨了关键基因在不同组织中的表达及其与HOA的关系。SMR分析评估了各组织中关键基因表达与HOA之间的因果关系。蛋白质组学分析是通过蛋白质组关联研究(PWAS)和汇总统计(BLISS)的生物标志物水平imputation进行的。分层LDSC-SEG的应用揭示了细胞类型的遗传富集谱。结果:双向MR分析显示FN-BMD对HOA有显著的负向因果关系(β = -2.17, P < 0.01),而反向MR分析未发现因果关系。LDSC和HDL分析显示HOA与FN-BMD的遗传相关性分别为rg = 0.132和rg = 0.1697。GCTA-COJO和fua共同确定了28个与HOA相关的独立风险snp。MAGMA和GCTA-fastBAT鉴定出48个多效性基因。整合独立风险位点和多效性基因,最终鉴定出13个与HOA相关的关键基因。富集分析显示,13个关键基因与软骨发育、成骨、细胞增殖、细胞凋亡和干细胞分化等生物过程显著相关。多组织TWAS和SMR分析显示,7个基因在22个组织中与HOA相关,其中脑组织占28.6%。此外,利用PWAS和BLISS方法分析了这些关键基因的蛋白质组学特征。LDSC-SEG分析显示,在软骨、淋巴细胞、卵母细胞、B淋巴细胞、生殖细胞、成骨细胞和胚状体中,HOA遗传力富集。结论:本研究为HOA与FN-BMD的遗传相关性提供了全面的分析,阐明了共享的遗传结构并确定了关键基因。这些发现为HOA和FN-BMD之间的相互作用提供了新的见解,并突出了潜在的治疗靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Deciphering the shared genetic structure between hip osteoarthritis and femoral neck bone mineral density.

Deciphering the shared genetic structure between hip osteoarthritis and femoral neck bone mineral density.

Deciphering the shared genetic structure between hip osteoarthritis and femoral neck bone mineral density.

Deciphering the shared genetic structure between hip osteoarthritis and femoral neck bone mineral density.

Background: While the association between hip osteoarthritis (HOA) and femoral neck bone mineral density (FN-BMD) is established, their shared genetic architecture remains elusive. This study aims to explore the genetic correlation and underlying mechanisms.

Methods: The present study applied bidirectional Mendelian randomisation (MR) to investigate causal relationships between HOA and FN-BMD. The quantification of genetic correlations was achieved by employing linkage disequilibrium score regression (LDSC) and high-definition likelihood (HDL) inference. Multi-trait analysis of genome-wide association studies (MTAG) have been shown to enhance statistical resolution, thereby unveiling hitherto unreported genetic associations. Independent MTAG-HOA risk loci were identified through conditional joint analysis (GCTA-COJO), complemented by functional mapping and annotation (FUMA) functional annotation. The application of both MAGMA and GCTA-fastBAT has revealed pleiotropic genes linked to MTAG-HOA susceptibility. Integration of fine-mapped genes from these loci with risk-associated candidates has enabled the identification of 13 key HOA-related genes. Functional annotation of these 13 key genes was performed using Gene Ontology (GO) and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway enrichment analyses. Multi-tissue transcriptome-wide association studies (TWAS) explored the expression of key genes across different tissues and their association with HOA. SMR analysis evaluated the causal relationship between key gene expressions in various tissues and HOA. Proteomic profiling is conducted via proteome-wide association studies (PWAS) and biomarker level imputation from summary statistics (BLISS). The application of stratified LDSC-SEG has revealed a genetic enrichment profile in cell types.

Results: Bidirectional MR analysis revealed a significant negative causal effect of FN-BMD on HOA (β = -2.17, P < 0.01), whereas the reverse MR analysis did not identify a causal effect. LDSC and HDL analyses revealed genetic correlations between HOA and FN-BMD of rg = 0.132 and rg = 0.1697, respectively. GCTA-COJO and FUMA collectively identified 28 independent risk SNPs associated with HOA. MAGMA and GCTA-fastBAT identified 48 pleiotropic genes. Integrating independent risk loci and pleiotropic genes culminated in the identification of 13 key genes associated with HOA. An enrichment analysis revealed that 13 key genes were significantly associated with biological processes integral to cartilage development, osteogenesis, cell proliferation, apoptosis, and stem cell differentiation. Multi-tissue TWAS and SMR analyses indicated that seven genes were associated with HOA across 22 tissues, with brain tissues accounting for 28.6%. Furthermore, PWAS and BLISS methods were utilized to analyze the proteomic features of these key genes. LDSC-SEG analysis revealed enrichment of HOA heritability in Cartilage, Lymphocytes, Oocytes, B Lymphocytes, Germ Cells, Osteoblasts, and Embryoid Bodies.

Conclusion: This study provides a comprehensive analysis of the genetic correlation between HOA and FN-BMD, elucidating shared genetic architecture and pinpointing key genes. These findings offer novel insights into the interplay between HOA and FN-BMD and highlight potential therapeutic targets.

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来源期刊
Frontiers in Genetics
Frontiers in Genetics Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
5.50
自引率
8.10%
发文量
3491
审稿时长
14 weeks
期刊介绍: Frontiers in Genetics publishes rigorously peer-reviewed research on genes and genomes relating to all the domains of life, from humans to plants to livestock and other model organisms. Led by an outstanding Editorial Board of the world’s leading experts, this multidisciplinary, open-access journal is at the forefront of communicating cutting-edge research to researchers, academics, clinicians, policy makers and the public. The study of inheritance and the impact of the genome on various biological processes is well documented. However, the majority of discoveries are still to come. A new era is seeing major developments in the function and variability of the genome, the use of genetic and genomic tools and the analysis of the genetic basis of various biological phenomena.
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