评估巴塞杜氏病与糖尿病之间的因果效应:双向孟德尔随机研究。

IF 3.9 2区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Frontiers in Endocrinology Pub Date : 2024-11-06 eCollection Date: 2024-01-01 DOI:10.3389/fendo.2024.1420499
Yuhan Zhang, Liuxiang Fu
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引用次数: 0

摘要

背景:巴塞杜氏病(GD)是一种自身免疫性疾病,与其他自身免疫性疾病的发病率增加有关。为了研究 GD 与糖尿病(DM)之间的因果关系,我们设计了双向双样本孟德尔随机化(MR)和多变量 MR(MVMR)研究:从 IEU Open GWAS 和 FinnGen 生物库数据库中获得了与 GD、甲状腺过氧化物酶(TPO)、甲状腺球蛋白(Tg)、促甲状腺激素(TSH)、1 型糖尿病(T1D)和 2 型糖尿病(T2D)相关的单核苷酸多态性(SNPs)。在前向 MR 研究中,我们将 GD(样本量 = 458,620 个)作为暴露,将 T1D(样本量 = 520,580 个)和 T2D(样本量 = 211,766 个)作为结果。然后,将 T1D 和 T2D 的高风险作为暴露变量,将 GD 作为结果变量进行反向 MR 分析。最后,进行了 MVMR 分析,以研究 DM 与 TPO、Tg 和 TSH 等甲状腺功能指标之间的可能关系。主要方法是反方差加权(IVW)。最后,对异质性和敏感性进行了评估:分别有 27、88 和 55 个 SNP 与 GD、T1D 和 T2D 相关。在前向 MR 分析中发现,GD 遗传责任较高与 T2D 风险之间存在明显的因果关系(OR [95% CI] = 1.059 [1.025-1.095],P = 5.53e-04)。相比之下,GD 遗传责任较高与 T1D 风险之间的显著因果关系并未得到证实(OR [95% CI] = 0.998[0.927,1.074], P=0.949)。然而,反向 MR 表明,T1D 的遗传易感性增加了罹患 GD 的可能性(OR [95% CI] = 1.173[1.117,1.231],P =1.913e-10),而 T2D 则没有(OR [95% CI] = 0.963 [0.870-1.066],P =0.468)。此外,没有足够的证据表明 TSH、TPO 和 Tg 水平异常会增加 GD 患者发生 T1D 或 T2D 的风险。MVMR显示,Tg、TSH、TPO、T1D或T2D之间没有因果关系:结论:尽管 T1D 遗传易感性的升高与 GD 患病风险的升高有关,但 GD 遗传易感性的升高并不会导致 T1D 患病风险的升高。通过磁共振分析发现,GD 遗传易感性与 T2D 风险增加之间存在单向因果关系。MVMR分析表明,TSH、TPO或Tg的遗传易感性与T1D或T2D风险之间没有统计学上相关的因果关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating the causal effects between Grave's disease and diabetes mellitus: a bidirectional Mendelian randomization study.

Background: Graves' disease (GD) is an autoimmune disease associated with an increased incidence of other autoimmune diseases. To investigate the causality between GD and Diabetes mellitus (DM), we designed bidirectional two-sample Mendelian randomization (MR) and multivariable MR (MVMR) studies.

Methods: Single-nucleotide polymorphisms (SNPs) associated with GD, thyroid peroxidase (TPO), thyroglobulin (Tg), thyroid-stimulating hormone (TSH), type 1 diabetes (T1D), and type 2 diabetes (T2D) were obtained from the IEU Open GWAS and FinnGen biobank databases. For the forward MR study, we used GD (sample size = 458,620) as the exposure and T1D (sample size = 520,580) and T2D (sample size = 211,766) as the outcomes. Next, high risk of T1D and T2D were used as exposure variables, and GD was used as the outcome variable for the reverse MR analysis. Finally, MVMR analysis was conducted to investigate the probable relationship between DM and indicators for thyroid function like TPO, Tg, and TSH. The inverse variance weighting (IVW) was used as the main method. Finally, the heterogeneity and sensitivity were assessed.

Results: There were 27, 88, and 55 SNPs associated with GD, T1D, and T2D, respectively. A significant causal connection between higher genetic liability of GD and the risk of T2D (OR [95% CI] = 1.059 [1.025-1.095], P = 5.53e-04) was found in the forward MR analysis. Comparatively, the significant causal relationship between higher genetic liability of GD and the risk of T1D was not demonstrated (OR [95% CI] = 0.998[0.927,1.074], P=0.949). However, reverse MR suggested that there was a genetic susceptibility to T1D that increased the likelihood of developing GD (OR [95% CI] = 1.173[1.117,1.231], P = 1.913e-10), while T2D did not (OR [95% CI] = 0.963 [0.870-1.066], P = 0.468). Furthermore, there was inadequate evidence to suggest that abnormal TSH, TPO, and Tg levels increase the risk of incident T1D or T2D in individuals with GD. MVMR revealed no causal relationship among Tg, TSH, TPO, T1D, or T2D.

Conclusion: There was no increased risk of T1D with an increase in genetic susceptibility to GD, although higher genetic susceptibility to T1D has been shown to be associated with increased risk of developing GD. A unidirectional causal relationship between the genetic liability for GD and increased risk of T2D was observed using MR analyses. MVMR analysis showed no statistically relevant causality between the genetic liability for TSH, TPO, or Tg and the risk of either T1D or T2D.

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来源期刊
Frontiers in Endocrinology
Frontiers in Endocrinology Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
5.70
自引率
9.60%
发文量
3023
审稿时长
14 weeks
期刊介绍: Frontiers in Endocrinology is a field journal of the "Frontiers in" journal series. In today’s world, endocrinology is becoming increasingly important as it underlies many of the challenges societies face - from obesity and diabetes to reproduction, population control and aging. Endocrinology covers a broad field from basic molecular and cellular communication through to clinical care and some of the most crucial public health issues. The journal, thus, welcomes outstanding contributions in any domain of endocrinology. Frontiers in Endocrinology publishes articles on the most outstanding discoveries across a wide research spectrum of Endocrinology. The mission of Frontiers in Endocrinology is to bring all relevant Endocrinology areas together on a single platform.
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