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脊柱关节炎与人体血液代谢物之间的大规模遗传相关性分析

Large-Scale Genetic Correlation Analysis between Spondyloarthritis and Human Blood Metabolites.

作者信息

Yang Mingyi, Xu Jiawen, Zhang Feng, Luo Pan, Xu Ke, Feng Ruoyang, Xu Peng

机构信息

Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an 710054, China.

Orthopedic Research Institute, Department of Orthopedics, West China Hospital, Sichuan University, Chengdu 610041, China.

出版信息

J Clin Med. 2023 Feb 2;12(3):1201. doi: 10.3390/jcm12031201.

Abstract

The aim was to study the genetic correlation and causal relationship between spondyloarthritis (SpA) and blood metabolites based on the large-scale genome-wide association study (GWAS) summary data. The GWAS summary data (3966 SpA and 448,298 control cases) of SpA were from the UK Biobank, and the GWAS summary data (486 blood metabolites) of human blood metabolites were from a published study. First, the genetic correlation between SpA and blood metabolites was analyzed by linkage disequilibrium score (LDSC) regression. Next, we used Mendelian randomization (MR) analysis to perform access causal relationship between SpA and blood metabolites. Random effects inverse variance weighted (IVW) was the main analysis method, and the MR Egger, weighted median, simple mode, and weighted mode were supplementary methods. The MR analysis results were dominated by the random effects IVW. The Cochran's Q statistic (MR-IVW) and Rucker's Q statistic (MR Egger) were used to check heterogeneity. MR Egger and MR pleiotropy residual sum and outlier (MR-PRESSO) were used to check horizontal pleiotropy. The MR-PRESSO was also used to check outliers. The "leave-one-out" analysis was used to assess whether the MR analysis results were affected by a single SNP and thus test the robustness of the MR results. Finally, we identified seven blood metabolites that are genetically related to SpA: X-10395 (correlation coefficient = -0.546, = 0.025), pantothenate (correlation coefficient = -0.565, = 0.038), caprylate (correlation coefficient = -0.333, = 0.037), pelargonate (correlation coefficient = -0.339, = 0.047), X-11317 (correlation coefficient = -0.350, = 0.038), X-12510 (correlation coefficient = -0.399, = 0.034), and X-13859 (Correlation coefficient = -0.458, = 0.015). Among them, X-10395 had a positive genetic causal relationship with SpA ( = 0.014, OR = 1.011). The blood metabolites that have genetic correlation and causal relationship with SpA found in this study provide a new idea for the study of the pathogenesis of SpA and the determination of diagnostic indicators.

摘要

目的是基于大规模全基因组关联研究(GWAS)汇总数据,研究脊柱关节炎(SpA)与血液代谢物之间的遗传相关性和因果关系。SpA的GWAS汇总数据(3966例SpA和448,298例对照)来自英国生物银行,人类血液代谢物的GWAS汇总数据(486种血液代谢物)来自一项已发表的研究。首先,通过连锁不平衡评分(LDSC)回归分析SpA与血液代谢物之间的遗传相关性。接下来,我们使用孟德尔随机化(MR)分析来探讨SpA与血液代谢物之间的因果关系。随机效应逆方差加权(IVW)是主要分析方法,MR Egger、加权中位数、简单模式和加权模式为补充方法。MR分析结果以随机效应IVW为主。使用 Cochr an's Q统计量(MR-IVW)和Rucker's Q统计量(MR Egger)检查异质性。MR Egger和MR多效性残差和异常值(MR-PRESSO)用于检查水平多效性。MR-PRESSO也用于检查异常值。采用“留一法”分析评估MR分析结果是否受单个单核苷酸多态性(SNP)影响,从而检验MR结果的稳健性。最后,我们鉴定出七种与SpA存在遗传关联的血液代谢物:X-10395(相关系数=-0.546,P=0.025)、泛酸盐(相关系数=-0.565,P=0.038)、辛酸(相关系数=-0.333,P=0.037)、壬酸(相关系数=-0.339,P=0.047)、X-11317(相关系数=-0.350,P=0.038)、X-12510(相关系数=-0.399,P=0.034)和X-13859(相关系数=-0.458,P=0.015)。其中,X-10395与SpA存在正向遗传因果关系(P=0.014,比值比[OR]=1.011)。本研究中发现与SpA存在遗传相关性和因果关系的血液代谢物为SpA发病机制的研究和诊断指标的确定提供了新思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b7e/9917834/ec2d3f2d5f02/jcm-12-01201-g001.jpg

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