Borderline personality disorder and thyroid diseases: a Mendelian randomization study

Front Endocrinol (Lausanne). 2023 Oct 3:14:1259520. doi: 10.3389/fendo.2023.1259520. eCollection 2023.

Abstract

Background: Previous studies have shown that there is a correlation between diseases of the thyroid gland and mental illnesses; however, any causal relationship between them remains unclear. This study aimed to evaluate the causal relationship between borderline personality disorder and four thyroid diseases.

Methods: The causal relationship was inferred using double-sample Mendelian randomization analysis of appropriate instrumental variables from genome-wide association studies. We calculated the estimated value of the effect using various statistical methods.

Results: Borderline personality disorder was a risk factor for non-toxic single thyroid nodules with each increase in standard deviation increasing the risk of a non-toxic single thyroid nodule by 1.13 times (odds ratio = 1.131; 95% confidence interval, 1.006-1.270; P=0.039). There was no evidence of a correlation between borderline personality disorder and hyperthyroidism/thyrotoxicosis, hypothyroidism, and autoimmune thyroiditis.

Conclusion: This study showed that there is a positive causal correlation between borderline personality disorder and non-toxic single thyroid nodules but not with other thyroid diseases. This means that thyroid status should be monitored in patients with borderline personality disorder. However, the possibility of a causal relationship between other mental illnesses and thyroid diseases requires further research.

Keywords: GWAS; Mendelian randomization; borderline personality disorder; causal correlation; thyroid disease.

MeSH terms

  • Borderline Personality Disorder* / epidemiology
  • Borderline Personality Disorder* / genetics
  • Genome-Wide Association Study
  • Goiter*
  • Humans
  • Mendelian Randomization Analysis
  • Thyroid Nodule*

Grants and funding

The authors declare financial support was received for the research, authorship, and/or publication of this article. This study received funding from Science and Technology Department of Shaanxi Province, China. ZD, Qin Chuangyuan “scientist + engineer” team construction of Shaanxi Province (Grant Number 2022KXJ-019) https://kjt.shaanxi.gov.cn/kjzx/jckj/268980.html; ZD, Key research and development projects of Shaanxi Province (Grant Number 2023ZDLSF-56) https://kjt.shaanxi.gov.cn/. The funders were not involved in the design, implementation, data analysis, publication, etc.