两样本孟德尔随机化法分析抑郁症与间质性肺病关系的研究

doi:10.3969/j.issn.1006-5253.2023.02.001

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Abstract Objective To reveal the causal relationship between depression and interstitial lung disease (ILD) by using Mendelian randomization method, and to provide new ideas for the prevention, treatment and prognosis of ILD.Methods The genetic loci closely associated with depression were selected as instrumental variables using pooled data from the Genome-Wide Association Study (GWAS). The inverse variance weighting method was used as the primary analysis method, and the weighted median method and MR-Egger regression were used as auxiliary methods to perform two-sample Mendelian randomization analysis; OR values were used to evaluate the causal relationship between depression and ILD, and heterogeneity tests, gene multiplicity tests and sensitivity analyses were performed to assess the stability and reliability of the results.Results Thirty-seven single nucleotide polymorphism (SNP) loci were included as instrumental variables. MR-Egger regression estimated that the risk of lung cancer in patients with depression was 1.21 times that of healthy people (95%CI: 1.075-1.361, P=0.002). The weighted median method also supported a causal effect between depression and interstitial lung disease (95% CI: 1.118-1.564, P=0.001). The heterogeneity test results of the inverse variance-weighted method and MR-Egger regression showed that there was no heterogeneity; MR-Egger regression intercept term and MR-PRESSO method tests showed that the results were less likely to be affected by gene pleiotropism; no non-specific SNPs were found in leave-one-out analysis.Conclusion There may be a positive causal association between depression and ILD.

Key words： depression interstitial lung disease Mendelian randomization

Received: 30 December 2022

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	Articles by authors
	Chen Ming
	Liu Jinchan
	Tang Tianshu
	Xu Dehua
	Chen Xiaolin
	Rao Shaoqi

Cite this article:

Chen Ming,Liu Jinchan,Tang Tianshu, et al. Causal relationship between depression and interstitial lung disease with two-sample Mendelian randomization[J]. journal1, 2023, 30(2): 81-86.

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http://manu58.magtech.com.cn/Jwk_zgyytj/EN/10.3969/j.issn.1006-5253.2023.02.001 OR http://manu58.magtech.com.cn/Jwk_zgyytj/EN/Y2023/V30/I2/81

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