Causal effect of the age at first birth with depression: a mendelian randomization study.

IF 2.1 4区医学 Q3 GENETICS & HEREDITY

BMC Medical Genomics Pub Date : 2024-07-24 DOI:10.1186/s12920-024-01966-9

Wanshu Guo, Yuanyuan Guo, Shaokang Song, Xuankai Huang, Yu Zhang, Aizhen Zhang, Fangrong Meng, Minghang Chang, Zhipeng Wang

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引用次数: 0

Abstract

Background: This study aimed to explore the causal relationship between age at first birth (AFB) and depression.

Methods: Using the univariable Mendelian randomization (UVMR) and multivariable Mendelian randomization (MVMR) methods to examine the potential correlation between age at first birth (AFB) and major depressive disorder and postpartum depression. A public database was used to obtain the genome-wide association studies (GWAS) summary data. We put inverse-variance-weighted (IVW) as the primary method in Mendelian randomization (MR) analysis and used sensitivity analysis to confirm the robustness of our result.

Results: We found a significant causal association between AFB and major depressive disorder by using the IVW algorithm (odd ratio [OR] 0.826; 95% confidence interval [CI] 0.793 - 0.861; P = 4.51 × 10^- 20). MR-Egger, weighted median, simple mode and weighted mode method concluded the same result (P < 0.05). During the sensitivity analysis, the heterogeneity test (Q-value = 55.061, df = 48, P = 2.81 × 10^- 01, I² = 12.82%) and the leave-one-out plot analysis confirmed the stability of the results. The outcomes of the pleiotropy test (MR-Egger intercept = 8.932 × 10^- 3. SE = 6.909 × 10^- 3. P = 2.02 × 10^- 01) and MR_PRESSO global test (P = 2.03 × 10^- 01) indicated there is no pleiotropy.

Conclusion: There is solid evidence that a higher age at first birth is associated with a lower risk of major depressive disorder.

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初生年龄对抑郁症的因果效应：亡羊补牢式随机研究。

背景：本研究旨在探讨初生年龄（AFB）与抑郁症之间的因果关系：本研究旨在探讨初生年龄（AFB）与抑郁症之间的因果关系：采用单变量孟德尔随机化（UVMR）和多变量孟德尔随机化（MVMR）方法研究初产年龄（AFB）与重度抑郁障碍和产后抑郁之间的潜在相关性。我们利用公共数据库获取了全基因组关联研究（GWAS）的汇总数据。我们将反方差加权（IVW）作为孟德尔随机化（MR）分析的主要方法，并使用敏感性分析来确认结果的稳健性：通过使用 IVW 算法，我们发现 AFB 与重度抑郁障碍之间存在明显的因果关系（奇数比 [OR] 0.826；95% 置信区间 [CI] 0.793 - 0.861；P = 4.51 × 10-20）。MR-Egger、加权中位数、简单模式和加权模式法得出了相同的结果（P - 01，I2 = 12.82%），留空图分析证实了结果的稳定性。多重效应检验（MR-Egger 截距 = 8.932 × 10- 3。SE = 6.909 × 10- 3。P = 2.02 × 10- 01）和 MR_PRESSO 全局检验（P = 2.03 × 10- 01）的结果表明不存在多重效应：结论：有确凿证据表明，初生年龄越大，患重度抑郁症的风险越低。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

BMC Medical Genomics 医学-遗传学

CiteScore

3.90

自引率

0.00%

发文量

243

审稿时长

3.5 months

期刊介绍： BMC Medical Genomics is an open access journal publishing original peer-reviewed research articles in all aspects of functional genomics, genome structure, genome-scale population genetics, epigenomics, proteomics, systems analysis, and pharmacogenomics in relation to human health and disease.