Lin Daoyi, Wu Shuyan, Li Wangyu, Ye Peng, Pan Xuan, Zheng Ting, Gao Fei
Department of Anesthesiology, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.
Department of Anesthesia, China-Japan Friendship Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Front Genet. 2024 Jul 12;15:1404456. doi: 10.3389/fgene.2024.1404456. eCollection 2024.
Although genome-wide association studies (GWAS) have identified 14 loci associated with frailty index (FI) susceptibility, the underlying causative genes and biological mechanisms remain elusive. A cross-tissue transcriptome-wide association study (TWAS) was conducted utilizing the Unified Test for Molecular Markers (UTMOST), which integrates GWAS summary statistics from 164,610 individuals of European ancestry and 10,616 Swedish participants, alongside gene expression matrices from the Genotype-Tissue Expression (GTEx) Project. Validation of the significant genes was performed through three distinct methods: FUSION, FOCUS, and Multiple Marker Analysis of Genome-wide Annotation (MAGMA). Exploration of tissue and functional enrichment for FI-associated SNPs was conducted using MAGMA. Conditional and joint analyses, along with fine mapping, were employed to enhance our understanding of FI's genetic architecture. Mendelian randomization was employed to ascertain causal relationships between significant genes and FI, and co-localization analysis was utilized to investigate shared SNPs between significant genes and FI. In this study, two novel susceptibility genes associated with the risk of FI were identified through the application of four TWAS methods. Mendelian randomization demonstrated that HTT may elevate the risk of developing frailty, whereas LRPPRC could offer protection against the onset of frailty. Additionally, co-localization analysis identified a shared SNP between LRPPRC and FI. Tissue enrichment analyses revealed that genomic regions linked to SNPs associated with frailty were predominantly enriched in various brain regions, including the frontal cortex, cerebral cortex, and cerebellar hemispheres. Conditional, combined analyses, and fine mapping collectively identified two genetic regions associated with frailty: 2p21 and 4q16.3. Functional enrichment analyses revealed that the pathways associated with frailty were primarily related to the MHC complex, PD-1 signaling, cognition, inflammatory response to antigenic stimuli, and the production of second messenger molecules. This investigation uncovers two newly identified genes with forecasted expression levels associated with the risk of FI, offering new perspectives on the genetic architecture underlying FI.
尽管全基因组关联研究(GWAS)已确定了14个与衰弱指数(FI)易感性相关的基因座,但其潜在的致病基因和生物学机制仍不清楚。利用分子标记统一检验(UTMOST)进行了一项跨组织全转录组关联研究(TWAS),该检验整合了来自164610名欧洲血统个体和10616名瑞典参与者的GWAS汇总统计数据,以及来自基因型-组织表达(GTEx)项目的基因表达矩阵。通过三种不同方法对显著基因进行验证:FUSION、FOCUS和全基因组注释多标记分析(MAGMA)。使用MAGMA对与FI相关的单核苷酸多态性(SNP)进行组织和功能富集分析。采用条件分析和联合分析以及精细定位,以加深我们对FI遗传结构的理解。采用孟德尔随机化来确定显著基因与FI之间的因果关系,并利用共定位分析来研究显著基因与FI之间的共享SNP。在本研究中,通过应用四种TWAS方法,确定了两个与FI风险相关的新的易感基因。孟德尔随机化表明,亨廷顿蛋白(HTT)可能会增加衰弱的风险,而亮氨酸丰富的五肽重复序列蛋白C(LRPPRC)可以预防衰弱的发生。此外,共定位分析确定了LRPPRC和FI之间的一个共享SNP。组织富集分析表明,与衰弱相关的SNP所在的基因组区域主要在包括额叶皮质、大脑皮质和小脑半球在内的多个脑区富集。条件分析、联合分析和精细定位共同确定了两个与衰弱相关的遗传区域:2p21和4q16.3。功能富集分析表明,与衰弱相关的通路主要与主要组织相容性复合体(MHC)、程序性死亡受体1(PD-1)信号传导、认知、对抗原刺激的炎症反应以及第二信使分子的产生有关。这项研究发现了两个新确定的基因,其预测表达水平与FI风险相关,为FI潜在的遗传结构提供了新的视角。