Evidence map›Paper›PMID 42007325›Full record

ArticleInternational journal of women's health2026

Causal Effects of Common Pregnancy Complications on Neonatal Birth Weight: A Mendelian Randomization Study.

Danyang Qu, Jiaxin Liu, Xin Peng, Haiping Dou, Leixiao Huang, Haoyuan Lin, Liu Yang, Yuqian Wang

Abstract read
In one paragraph

Article in International journal of women's health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Danyang Qu *Department of Pediatrics, The Second Hospital of Dalian Medical University, Dalian, Liaoning, 116021, People's Republic of China.
Jiaxin Liu *Department of Obstetrics, The Second Hospital of Dalian Medical University, Dalian, Liaoning, 116021, People's Republic of China.
Xin PengDepartment of Pediatrics, The Second Hospital of Dalian Medical University, Dalian, Liaoning, 116021, People's Republic of China.
Haiping DouDepartment of Pediatrics, The Second Hospital of Dalian Medical University, Dalian, Liaoning, 116021, People's Republic of China.
Leixiao HuangDepartment of Pediatrics, The Second Hospital of Dalian Medical University, Dalian, Liaoning, 116021, People's Republic of China.
Haoyuan LinDepartment of Pediatrics, The Second Hospital of Dalian Medical University, Dalian, Liaoning, 116021, People's Republic of China.
Liu YangDepartment of Pediatrics, The Second Hospital of Dalian Medical University, Dalian, Liaoning, 116021, People's Republic of China.
Yuqian WangDepartment of Pediatrics, The Second Hospital of Dalian Medical University, Dalian, Liaoning, 116021, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to investigate, using a two-sample Mendelian randomization approach, the potential causal effects of major pregnancy complications on neonatal birth weight. Methods: Summary statistics from genome-wide association studies (GWAS) for intrahepatic cholestasis of pregnancy (ICP), gestational diabetes mellitus (GDM), preeclampsia/eclampsia, placenta previa, and placental abruption were obtained from the FinnGen R9 consortium. Birth weight data were obtained from the Early Growth Genetics (EGG) consortium. We conducted a two-sample MR analysis to assess the causal effects of these pregnancy complications on neonatal birth weight. Univariate MR (UVMR) analyses were mainly conducted using inverse variance weighting (IVW), supported by complementary methods including MR-Egger and weighted median approaches. Sensitivity analyses employed several tests to evaluate robustness, including Cochran's Q test for heterogeneity, the MR-Egger intercept test for directional pleiotropy, Mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) for outlier detection, and leave-one-out analysis to assess result stability. Multivariable MR (MVMR) was applied to determine the independent effects of these pregnancy complications on neonatal birth weight. Results: UVMR showed that ICP was associated with lower neonatal birth weight (β_UVMR = -0.008, 95% CI: -0.013 to -0.002, Conclusion: This study provides genetic evidence supporting causal associations of ICP and preeclampsia/eclampsia with lower neonatal birth weight, and of GDM with higher neonatal birth weight. These findings enhance understanding of the genetic links between pregnancy complications and neonatal birth weight.

Indexed as

birth weightgestational diabetes mellitusintrahepatic cholestasis of pregnancyplacental abruptionplacenta praeviapre-eclampsia

Identifiers

PMID42007325
PMCPMC13091593

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