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Research on the shared genetic structure of autoimmune diseases and psychiatric disorders based on genome structural equation modeling
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Liu-fei DENG1, Shu-ting XUE1, Zi-wei YAO2, Xiao-mai ZHANG2, Yan-chao WEN1, Long LIU1, 3
Modern Preventive Medicine | 2025, 52(1) : 45 - 50
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Modern Preventive Medicine | 2025, 52(1): 45-50
• Epidemiology and Statistical Methods •
Research on the shared genetic structure of autoimmune diseases and psychiatric disorders based on genome structural equation modeling
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Liu-fei DENG1, Shu-ting XUE1, Zi-wei YAO2, Xiao-mai ZHANG2, Yan-chao WEN1, Long LIU1, 3
Affiliations
  • Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi 030001, China
Published: 2025-01-10 doi: 10.20043/j.cnki.MPM.202407352
Outline
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Objective

To investigate the shared genetic structure between six autoimmune diseases (AIDs) and ten psychiatric disorders (PDs) using Genome Structural Equation Modeling (GSEM) and Mendelian randomization (MR).

Methods

The research employed linkage disequilibrium score regression to assess the genetic correlations between diseases. GSEM was introduced for exploratory factor analysis on odd-numbered chromosomes and confirmatory factor analysis on even-numbered chromosomes for cross-validation, along with path analysis to establish a three-factor model and hierarchical model.Additionally, a multivariable genome-wide association study was conducted on latent factors to test the bidirectional causal relationships between mediating variables and factors, thereby revealing the complex genetic relationships among the diseases.

Results

GSEM results indicated that the selected 16 diseases could be explained by a three-factor model consisting of three independent factors, which fitted the research data best (χ2=865.291, AIC=929.291, CFI=0.940, SRMR=0.097). In this model, Factor 1 and Factor 3 exhibited characteristics closely related to autoimmune diseases, while Factor 2 primarily encompassed psychiatric disorders, with scleroderma serving as a mediating variable linking the two types of diseases. MR results revealed a bidirectional causal effect between scleroderma and Factor 2 and Factor 3.

Conclusion

GSEM and MR can be utilized to uncover the shared genetic structure and causal effects between AIDs and PDs, thereby highlighting their interactions and providing an important methodological tool for understanding the genetic relationships among complex diseases.

Genome structural equation modeling  /  Factor analysis  /  Mendelian randomization  /  Autoimmune diseases  /  Psychiatric disorders
邓刘飞, 薛舒婷, 姚紫微, 张潇迈, 温艳超, 刘龙. 基于基因组结构方程模型的自身免疫性疾病和精神类疾病的共享遗传结构研究. 现代预防医学, 2025 , 52 (1) : 45 -50 . DOI: 10.20043/j.cnki.MPM.202407352
Liu-fei DENG, Shu-ting XUE, Zi-wei YAO, Xiao-mai ZHANG, Yan-chao WEN, Long LIU. Research on the shared genetic structure of autoimmune diseases and psychiatric disorders based on genome structural equation modeling[J]. Modern Preventive Medicine, 2025 , 52 (1) : 45 -50 . DOI: 10.20043/j.cnki.MPM.202407352
Year 2025 volume 52 Issue 1
41
20
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doi: 10.20043/j.cnki.MPM.202407352
  • Receive Date:2024-07-20
  • Online Date:2026-10-29
  • Published:2025-01-10
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  • Received:2024-07-20
Affiliations
    Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi 030001, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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