PDF(Pubmed)
Abstract：
UNASSIGNED: Postpartum depression (PPD) is a type of depressive episode related to parents after childbirth, which causes a variety of symptoms not only for parents but also affects the development of children. The causal relationship between potential risk factors and PPD remains comprehensively elucidated.
UNASSIGNED: Linkage disequilibrium score regression (LDSC) analysis was conducted to screen the heritability of each instrumental variant (IV) and to calculate the genetic correlations between effective causal factors and PPD. To search for the causal effect of multiple potential risk factors on the incidence of PPD, random effects of the inverse variance weighted (IVW) method were applied. Sensitivity analyses, including weighted median, MR-Egger regression, Cochrane\'s Q test, and MR Pleiotropy Residual Sum and Outlier (MR-PRESSO), were performed to detect potential Mendelian randomization (MR) assumption violations. Multivariable MR (MVMR) was conducted to control potential multicollinearity.
UNASSIGNED: A total of 40 potential risk factors were investigated in this study. LDSC regression analysis reported a significant genetic correlation of potential traits with PPD. MR analysis showed that higher body mass index (BMI) (Benjamini and Hochberg (BH) corrected p = 0.05), major depression (MD) (BH corrected p = 5.04E-19), and schizophrenia (SCZ) (BH corrected p = 1.64E-05) were associated with the increased risk of PPD, whereas increased age at first birth (BH corrected p = 2.11E-04), older age at first sexual intercourse (BH corrected p = 3.02E-15), increased average total household income before tax (BH corrected p = 4.57E-02), and increased years of schooling (BH corrected p = 1.47E-11) led to a decreased probability of PPD. MVMR analysis suggested that MD (p = 3.25E-08) and older age at first birth (p = 8.18E-04) were still associated with an increased risk of PPD.
UNASSIGNED: In our MR study, we found multiple risk factors, including MD and younger age at first birth, to be deleterious causal risk factors for PPD.
UNASSIGNED: Linkage disequilibrium score regression (LDSC) analysis was conducted to screen the heritability of each instrumental variant (IV) and to calculate the genetic correlations between effective causal factors and PPD. To search for the causal effect of multiple potential risk factors on the incidence of PPD, random effects of the inverse variance weighted (IVW) method were applied. Sensitivity analyses, including weighted median, MR-Egger regression, Cochrane\'s Q test, and MR Pleiotropy Residual Sum and Outlier (MR-PRESSO), were performed to detect potential Mendelian randomization (MR) assumption violations. Multivariable MR (MVMR) was conducted to control potential multicollinearity.
UNASSIGNED: A total of 40 potential risk factors were investigated in this study. LDSC regression analysis reported a significant genetic correlation of potential traits with PPD. MR analysis showed that higher body mass index (BMI) (Benjamini and Hochberg (BH) corrected p = 0.05), major depression (MD) (BH corrected p = 5.04E-19), and schizophrenia (SCZ) (BH corrected p = 1.64E-05) were associated with the increased risk of PPD, whereas increased age at first birth (BH corrected p = 2.11E-04), older age at first sexual intercourse (BH corrected p = 3.02E-15), increased average total household income before tax (BH corrected p = 4.57E-02), and increased years of schooling (BH corrected p = 1.47E-11) led to a decreased probability of PPD. MVMR analysis suggested that MD (p = 3.25E-08) and older age at first birth (p = 8.18E-04) were still associated with an increased risk of PPD.
UNASSIGNED: In our MR study, we found multiple risk factors, including MD and younger age at first birth, to be deleterious causal risk factors for PPD.
摘要：
■产后抑郁症（PPD）是一种与父母分娩后有关的抑郁发作，这不仅会给父母带来各种症状，还会影响儿童的发育。潜在危险因素与PPD之间的因果关系仍在全面阐明。
■进行了连锁不平衡评分回归（LDSC）分析，以筛选每个工具变体（IV）的遗传力，并计算有效因果因子与PPD之间的遗传相关性。寻找多种潜在危险因素对PPD发病率的因果效应,应用了逆方差加权(IVW)方法的随机效应。敏感性分析，包括加权中位数，MR-Egger回归，Cochrane的Q测试,和MR多态剩余和和异常值(MR-PRESSO)，进行检测潜在的孟德尔随机化（MR）假设违规。进行多变量MR（MVMR）以控制潜在的多重共线性。
■本研究共调查了40个潜在的危险因素。LDSC回归分析报告了潜在性状与PPD的显着遗传相关性。MR分析显示，较高的体重指数（BMI）（Benjamini和Hochberg（BH）校正p=0.05），重度抑郁症（MD）（BH校正p=5.04E-19），和精神分裂症（SCZ）（BH校正p=1.64E-05）与PPD的风险增加有关，而第一胎年龄增加（BH校正p=2.11E-04），第一次性交年龄较大（BH校正p=3.02E-15），税前平均家庭总收入增加(BH校正p=4.57E-02)，受教育年限的增加（BH校正p=1.47E-11）导致PPD的概率降低。MVMR分析显示，MD（p=3.25E-08）和首次出生时的年龄（p=8.18E-04）仍然与PPD风险增加相关。
■在我们的MR研究中，我们发现了多种危险因素,包括MD和第一次出生时的年龄较小，是PPD的有害因果危险因素。
■进行了连锁不平衡评分回归（LDSC）分析，以筛选每个工具变体（IV）的遗传力，并计算有效因果因子与PPD之间的遗传相关性。寻找多种潜在危险因素对PPD发病率的因果效应,应用了逆方差加权(IVW)方法的随机效应。敏感性分析，包括加权中位数，MR-Egger回归，Cochrane的Q测试,和MR多态剩余和和异常值(MR-PRESSO)，进行检测潜在的孟德尔随机化（MR）假设违规。进行多变量MR（MVMR）以控制潜在的多重共线性。
■本研究共调查了40个潜在的危险因素。LDSC回归分析报告了潜在性状与PPD的显着遗传相关性。MR分析显示，较高的体重指数（BMI）（Benjamini和Hochberg（BH）校正p=0.05），重度抑郁症（MD）（BH校正p=5.04E-19），和精神分裂症（SCZ）（BH校正p=1.64E-05）与PPD的风险增加有关，而第一胎年龄增加（BH校正p=2.11E-04），第一次性交年龄较大（BH校正p=3.02E-15），税前平均家庭总收入增加(BH校正p=4.57E-02)，受教育年限的增加（BH校正p=1.47E-11）导致PPD的概率降低。MVMR分析显示，MD（p=3.25E-08）和首次出生时的年龄（p=8.18E-04）仍然与PPD风险增加相关。
■在我们的MR研究中，我们发现了多种危险因素,包括MD和第一次出生时的年龄较小，是PPD的有害因果危险因素。
