The Cloud Top Heavenly Palace,a majestic palace complex built with snow in the Changbai Mountains scenic area in Jilin Province,was officially illuminated and opened to the public on December 26,2025.This impressive i...The Cloud Top Heavenly Palace,a majestic palace complex built with snow in the Changbai Mountains scenic area in Jilin Province,was officially illuminated and opened to the public on December 26,2025.This impressive installation,with a main building measuring 20 meters high and 60 meters wide,faithfully recreates a classic scene from the best-selling Grave Robbers'Chronicles web novel series by Xu Lei,better known by his pseudonym Nanpai Sanshu.展开更多
目的本研究旨在通过孟德尔随机化(MR)分析,探讨毒性弥漫性甲状腺肿(Graves)病对妊娠期高血压疾病的因果影响,并揭示其潜在的生物学机制。方法本研究从芬兰生物银行(FinnGen)获得妊娠期高血压数据,从IEU open GWAS数据库获取Graves病遗...目的本研究旨在通过孟德尔随机化(MR)分析,探讨毒性弥漫性甲状腺肿(Graves)病对妊娠期高血压疾病的因果影响,并揭示其潜在的生物学机制。方法本研究从芬兰生物银行(FinnGen)获得妊娠期高血压数据,从IEU open GWAS数据库获取Graves病遗传变异数据,采用四种孟德尔随机化统计方法(逆方差加权法、MR-Egger法、加权中位数法、加权模式法)对Graves病与妊娠期高血压的因果关系进行分析。使用与Graves病相关的单核苷酸多态性(SNP)作为工具变量,以减少混杂因素和反向因果关系的影响。结果本研究共得到25个符合MR假设的工具变量。逆方差加权法分析显示Graves病降低了妊娠期高血压疾病的发生风险(OR=0.951,95%CI:0.926~0.976,P=0.001)。MR-egger(OR=0.927,95%CI:0.861~0.998)、加权中位数法(OR=0.943,95%CI:0.909~0.977)和加权模式法(OR=0.938,95%CI:0.899~0.979)的结果均支持这一结论(均P<0.05)。Cochran s Q检验显示纳入的SNPs存在异质性,异质性为4.377%(Q=24.536,P=0.375)。研究纳入的25个工具变量均为强工具变量,SNP的F值均>10(30.42~306.74)。结论本研究通过孟德尔随机化方法显示,欧洲人群中Graves病降低了妊娠期高血压疾病的发生风险。展开更多
文摘The Cloud Top Heavenly Palace,a majestic palace complex built with snow in the Changbai Mountains scenic area in Jilin Province,was officially illuminated and opened to the public on December 26,2025.This impressive installation,with a main building measuring 20 meters high and 60 meters wide,faithfully recreates a classic scene from the best-selling Grave Robbers'Chronicles web novel series by Xu Lei,better known by his pseudonym Nanpai Sanshu.
文摘目的本研究旨在通过孟德尔随机化(MR)分析,探讨毒性弥漫性甲状腺肿(Graves)病对妊娠期高血压疾病的因果影响,并揭示其潜在的生物学机制。方法本研究从芬兰生物银行(FinnGen)获得妊娠期高血压数据,从IEU open GWAS数据库获取Graves病遗传变异数据,采用四种孟德尔随机化统计方法(逆方差加权法、MR-Egger法、加权中位数法、加权模式法)对Graves病与妊娠期高血压的因果关系进行分析。使用与Graves病相关的单核苷酸多态性(SNP)作为工具变量,以减少混杂因素和反向因果关系的影响。结果本研究共得到25个符合MR假设的工具变量。逆方差加权法分析显示Graves病降低了妊娠期高血压疾病的发生风险(OR=0.951,95%CI:0.926~0.976,P=0.001)。MR-egger(OR=0.927,95%CI:0.861~0.998)、加权中位数法(OR=0.943,95%CI:0.909~0.977)和加权模式法(OR=0.938,95%CI:0.899~0.979)的结果均支持这一结论(均P<0.05)。Cochran s Q检验显示纳入的SNPs存在异质性,异质性为4.377%(Q=24.536,P=0.375)。研究纳入的25个工具变量均为强工具变量,SNP的F值均>10(30.42~306.74)。结论本研究通过孟德尔随机化方法显示,欧洲人群中Graves病降低了妊娠期高血压疾病的发生风险。
