大规模全基因组分析与蛋白质组学整合揭示了有关虚弱的新基因位点和生物学见解

Jonathan Mak, Chenxi Qin, Anna Kuukka, FinnGen Consortium, Sara Hagg, Jake K. L. Lin, Juulia Jylhava
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引用次数: 0

摘要

虚弱是一种与临床相关的表型,但我们对其病因的了解还存在很大差距。我们在 FinnGen(N=500,737)中进行了一项关于虚弱的全基因组关联研究,并利用多基因风险评分(PRSs)在英国生物库(N=429,463)中复制了相关信号。我们通过蛋白质组学整合(N~45,000;英国生物库)和蛋白质定量性状位点的共定位来确定基因的优先顺序。虚弱程度采用医院虚弱风险评分(HFRS)进行测量。我们观察到 1,588 个与虚弱相关的变异(p<5x10-8),其中 1,242 个为新变异,即以前未报道过的任何性状。与虚弱相关的基因有 106 个,其中 31 个是新基因。PRS复制验证了这些信号(β=0.074,p<2x10-16)。细胞类型富集分析表明该基因在神经元细胞中表达。KHK、CGREF1、MET、ATXN2、ALDH2、NECTIN2、APOC1、APOE 和 FOSB 的蛋白水平与 HFRS 相关,而在 APOE 和 BRAP 中观察到了共定位信号。我们的研究结果揭示了造成虚弱的新的遗传贡献和因果候选基因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Large-scale genome-wide analyses with proteomics integration reveal novel loci and biological insights into frailty
Frailty is a clinically relevant phenotype with significant gaps in our understanding of its etiology. We performed a genome-wide association study of frailty in FinnGen (N=500,737) and replicated the signals in the UK Biobank (N=429,463) using polygenic risk scores (PRSs). We prioritized genes through proteomics integration (N~45,000; UK Biobank) and colocalization of protein quantitative trait loci. Frailty was measured using the Hospital Frailty Risk Score (HFRS). We observed 1,588 variants associated with frailty (p<5x10-8) of which 1,242 were novel, i.e., previously unreported for any trait. The associations mapped to 106 genes of which 31 were novel. PRS replication validated the signals (β=0.074, p<2x10-16). Cell type enrichment analysis indicated expression in neuronal cells. Protein levels of KHK, CGREF1, MET, ATXN2, ALDH2, NECTIN2, APOC1, APOE and FOSB were associated with HFRS, whereas colocalized signals were observed within APOE and BRAP. Our results reveal novel genetic contributions and causal candidate genes for frailty.
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