Published October 29, 2024 | Version v1
Journal article Open

The Causal Role of Thyroid Hormones in Bipolar Disorders: A Two-Sample Mendelian Randomization Study

  • 1. University of Chicago

Description

Introduction: Bipolar disorder is a complex psychiatric condition with distinctions between clinical subtypes including Type 1 and 2 disorders. Several studies have proposed that thyroid hormones may be involved in the aetiology of bipolar disorders.

Methods: This study employed a two-sample Mendelian randomization (MR) approach to investigate the causal relationships between six thyroid hormone metrics (TSH, FT4, FT3, TT3, FT3/FT4 and TT3/FT4) and bipolar disorder and Type 1 and 2 disorders, separately. Genome-wide association (GWAS) data from the ThyroidOmics Consortium (up to 271,040 individuals of European ancestry) were used for thyroid function metrics. Bipolar disorder GWAS data included 41,917 cases and 371,549 controls (25,060 Type 1 and 6,781 Type 2 cases). We applied inverse variance weighted (IVW) methods for primary MR analysis, with MR Egger, weighted median and weighted mode for sensitivity. Additional tests assessed horizontal pleiotropy and heterogeneity.

Results: Higher FT4 levels showed a protective causal effect against bipolar disorder (OR: 0.92, 95% CI: 0.86-0.97, p = 4.58 × 10-3) and a suggestive effect on Type 1 disorders (OR: 0.92, 95% CI: 0.86-0.99, p = 3.21 × 10-2). Elevated FT3 (OR: 1.18, 95% CI: 1.03-1.35, p = 1.55 × 10-2) and FT3/FT4 ratio (OR: 1.97, 95% CI: 1.02-3.82, p = 4.46 × 10-2) had suggestive harmful effects on Type 1 disorders. Sensitivity analyses showed consistent effects, with no significant horizontal pleiotropy or heterogeneity.

Conclusions: These findings highlight the protective role of FT4 and the potentially harmful effect of elevated FT3 in Type 1 bipolar disorder, highlighting the need for further research on thyroid hormone levels as a potential treatment strategy for Type 1 bipolar disorder.

Data availability

Data sharing is not applicable to this article as no new data were created or analyzed in this study. All GWAS summary statistics utilized in this study are previously published and publicly available and for academic use without restriction. GWAS summary statistics for thyroid function utilized in this study are downloadable from the ThyroidOmics Consortium at https://transfer.sysepi.medizin.uni-greifswald.de/thyroidomics/datasets/. GWAS summary statistics for bipolar disorders utilized in this study are downloadable from the Psychiatric Genomics Consortium at https://pgc.unc.edu/for-researchers/download-results/. Code for all analyses performed in this study is available at https://github.com/james-li-projects/MR_Thyroid_BPD.

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Additional details

Identifiers

DOI
10.1002/edm2.70009
Other
oai:uchicago.tind.io:13820

Funding

National Institute of General Medical Sciences
T32GM007281
Susan G. Komen
SAC210203
Susan G. Komen
TREND21675016

UChicago Information

Division(s)
Biological Sciences Division
Department(s)
Public Health Sciences