研究动态
Articles below are published ahead of final publication in an issue. Please cite articles in the following format: authors, (year), title, journal, DOI.

测试甲状腺激素测量在正常范围内对人类新陈代谢和疾病的因果作用:系统孟德尔随机化。

Testing for a causal role of thyroid hormone measurements within the normal range on human metabolism and diseases: a systematic Mendelian randomization.

发表日期:2024 Aug 26
作者: Heba Alwan, Jian'an Luan, Alice Williamson, Julia Carrasco-Zanini, Isobel D Stewart, Nicholas J Wareham, Claudia Langenberg, Maik Pietzner
来源: EBioMedicine

摘要:

甲状腺功能参数在正常范围内的变化已被观察到与不良健康结果相关。这些关联是否反映了因果效应在很大程度上尚不清楚。我们系统地测试了正常范围内的促甲状腺素 (TSH) 和游离甲状腺素 (FT4) 的遗传差异与 3 种疾病中 1100 多种疾病和 6000 多种分子特征(代谢物和蛋白质)之间的关联。大量基于人口的群体。这是通过结合个体和汇总水平的遗传数据并使用多基因评分和孟德尔随机化 (MR) 方法来完成的。我们在 OpenGWAS 数据库中进行了一项全表型 MR 研究,涵盖了数千种复杂的表型和疾病。基因预测的正常范围内的 TSH 或 FT4 水平主要与甲状腺相关的结果相关,例如甲状腺肿。少数甲状腺外结果被发现与高但正常 TSH 水平的遗传倾向相关,包括心房颤动(优势比 = 0.92,p 值 = 2.13 × 10-3)、甲状腺癌(优势比 = 0.57,p) -值 = 2.97 × 10-4),以及特定生物标志物,例如性激素结合球蛋白 (β = -0.046,p 值 = 1.33 × 10-6) 和总胆固醇 (β = 0.027,p 值 = 5.80 × 10-3).与之前描述甲状腺激素水平和疾病结果之间关系的研究相比,我们的遗传方法几乎没有发现正常范围内的甲状腺功能遗传差异与非甲状腺表型之间存在关联的证据。先前研究中描述的关联可以通过反向因果关系和混杂因素来解释。这项研究由瑞士国家科学基金会 (P1BEP3_200041) 资助。 Fenland 研究 (DOI 10.22025/2017.10.101.00001) 由医学研究委员会 (MC_UU_12015/1、MC_PC_13046 和 MC_UU_00006/1) 资助。 EPIC-诺福克研究 (DOI 10.22025/2019.10.105.00004) 已获得医学研究委员会 (MR/N003284/1、MC-UU_12015/1、MC_PC_13048 和 MC_UU_00006/1) 的资助。版权所有 © 2024 作者。由 Elsevier B.V. 出版。保留所有权利。
Variation in thyroid function parameters within the normal range has been observationally associated with adverse health outcomes. Whether those associations reflect causal effects is largely unknown.We systematically tested associations between genetic differences in thyrotropin (TSH) and free thyroxine (FT4) within the normal range and more than 1100 diseases and more than 6000 molecular traits (metabolites and proteins) in three large population-based cohorts. This was performed by combining individual and summary level genetic data and using polygenic scores and Mendelian randomization (MR) methods. We performed a phenome-wide MR study in the OpenGWAS database covering thousands of complex phenotypes and diseases.Genetically predicted TSH or FT4 levels within the normal range were predominately associated with thyroid-related outcomes, like goitre. The few extra-thyroidal outcomes that were found to be associated with genetic liability towards high but normal TSH levels included atrial fibrillation (odds ratio = 0.92, p-value = 2.13 × 10-3), thyroid cancer (odds ratio = 0.57, p-value = 2.97 × 10-4), and specific biomarkers, such as sex hormone binding globulin (β = -0.046, p-value = 1.33 × 10-6) and total cholesterol (β = 0.027, p-value = 5.80 × 10-3).In contrast to previous studies that have described the association with thyroid hormone levels and disease outcomes, our genetic approach finds little evidence of an association between genetic differences in thyroid function within the normal range and non-thyroidal phenotypes. The association described in previous studies may be explained by reverse causation and confounding.This research was funded by the Swiss National Science Foundation (P1BEP3_200041). The Fenland study (DOI 10.22025/2017.10.101.00001) is funded by the Medical Research Council (MC_UU_12015/1, MC_PC_13046 and MC_UU_00006/1). The EPIC-Norfolk study (DOI 10.22025/2019.10.105.00004) has received funding from the Medical Research Council (MR/N003284/1, MC-UU_12015/1, MC_PC_13048 and MC_UU_00006/1).Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.