Mladenić Tea, Barišić Anita, Pereza Nina, Ostojić Saša, Peterlin Borut, Dević Pavlić Sanja
Department of Medical Biology and Genetics, Faculty of Medicine, University of Rijeka, Rijeka, Croatia.
Department of Gynecology and Obstetrics, University Hospital Rijeka, Rijeka, Croatia.
Int J Gynaecol Obstet. 2025 May;169(2):458-473. doi: 10.1002/ijgo.16056. Epub 2024 Dec 2.
Despite various genomic approaches used in prior studies investigating the association of maternal genetic variability with spontaneous preterm birth (sPTB), results show inconsistency and contradictions.
To conduct a systematic review of studies analyzing the association between maternal genetic variants and sPTB, evaluate retrieved studies based on selection criteria, classify studies into hypothesis-based and hypothesis-free, and perform a meta-analysis to identify the strongest associations.
PubMed, Scopus, and reference lists were searched until October 2024.
English-language, case-control, cross-sectional, and prospective cohort studies examining the association between maternal genetic variations and sPTB were included.
Data on authors, publication year, ethnicity, genes/variants, P values, study type, sample size, inclusion criteria, and methods were collected. The association strength was estimated using odds ratios with 95% confidence intervals.
Eighty-one studies met eligibility criteria: 73 utilized a hypothesis-based and 14 a hypothesis-free approach. Thirty-five studies qualified for a meta-analysis, revealing a significant association in tumor necrosis factor α (rs1800629) gene for alleles and additive and recessive genetic models (P ≤ 0.05). From the hypothesis-free approach, 13 genes reached global significance in association with sPTB (P < 5 × 10).
No single gene or variant was consistently associated with sPTB risk among studies. Hypothesis-based analyses highlighted tumor necrosis factor α (rs1800629) as a modest signal, while hypothesis-free approaches identified 13 genes with genome-wide significance, pointing to new research directions in understanding sPTB genetics.
尽管先前研究中使用了各种基因组方法来调查母亲基因变异性与自发性早产(sPTB)之间的关联,但结果显示存在不一致和矛盾之处。
对分析母亲基因变异与sPTB之间关联的研究进行系统综述,根据选择标准评估检索到的研究,将研究分为基于假设和无假设两类,并进行荟萃分析以确定最强的关联。
检索了PubMed、Scopus以及参考文献列表,直至2024年10月。
纳入了检查母亲基因变异与sPTB之间关联的英文病例对照研究、横断面研究和前瞻性队列研究。
收集了有关作者、出版年份、种族、基因/变异、P值、研究类型、样本量、纳入标准和方法的数据。使用具有95%置信区间的比值比来估计关联强度。
81项研究符合入选标准:73项采用基于假设的方法,14项采用无假设的方法。35项研究符合荟萃分析的条件,结果显示肿瘤坏死因子α(rs1800629)基因的等位基因、加性和隐性遗传模型存在显著关联(P≤0.05)。从无假设方法中,有13个基因与sPTB的关联达到全基因组显著性(P<5×10)。
在各项研究中,没有单一基因或变异与sPTB风险始终相关。基于假设的分析突出了肿瘤坏死因子α(rs1800629)作为一个适度的信号,而无假设方法则确定了13个具有全基因组显著性的基因,为理解sPTB遗传学指明了新的研究方向。