Investigating the shared genetic links between hypothyroidism and psychiatric disorders: a large-scale genomewide cross-trait analysis

被引:0
|
作者
Chen, Yanjing [1 ]
Zhang, Zhiyi [2 ]
Chen, Yongyi [3 ]
Liu, Ping [1 ]
Yi, Sijie [1 ]
Fan, Chunhua [1 ]
Zhao, Wei [1 ,3 ]
Liu, Jun [1 ,3 ]
机构
[1] Cent South Univ, Xiangya Hosp 2, Dept Radiol, 139,Cent Renmin Rd, Changsha 410011, Hunan, Peoples R China
[2] Fujian Univ Tradit Chinese Med, 1,Qiuyang Rd, Fuzhou 350122, Fujian, Peoples R China
[3] Clin Res Ctr Med Imaging Hunan Prov, 139,Cent Renmin Rd, Changsha 410011, Hunan, Peoples R China
关键词
THYROID-HORMONE; EXPRESSION; POLYMORPHISM; DEPRESSION; SCORE; RISK; LIFE;
D O I
10.1016/j.jad.2024.08.202
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: Associations between thyroid diseases and psychiatric disorders have been mainly described before. However, the genetic mechanism behind hypothyroidism and psychiatric disorders remains unexplained. Methods: We examined the genetic architecture of hypothyroidism and 8 psychiatric disorders. Firstly, the global and local genetic relationship between the paired traits was explored. Secondly, cross-trait analysis was performed to investigate the genomic loci and genes between psychiatric disorders and hypothyroidism. Thirdly, the significant expression of these genes and the causal relationships were investigated. Lastly, enrichment analysis was conducted on these genes to explore their biological mechanisms. Results: We observed significant positive genetic correlations between psychiatric disorders and hypothyroidism. The cross-trait meta-analysis identified 62 shared genetic loci between hypothyroidism and psychiatric disorders. The colocalization analysis additionally revealed 15 potential pleiotropic loci with a posterior probabilities.H4 (PP & sdot;H4) value >0.7. We also found 2308 genes shared between both traits, which were highly enriched in biological pathways such as immune cell differentiation and autoimmune diseases, as well as in tissue structures like the frontal cortex and cerebral cortex. Especially, many pleiotropic genes were significantly expressed for multiple pairwise traits, such as BCL11B, RERE, and SUOX. Lastly, the Latent causal variable model (LCV) analysis did not find any causal components in the genetic structure between them. Limitations: The limitations of this study include that the conclusions were drawn from a European population. Conclusions: These findings not only deepens our understanding of their biological mechanisms but also has significant implications for the intervention and treatment of these diseases.
引用
收藏
页码:312 / 320
页数:9
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