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Genes, exposures, and interactions on preterm birth risk: an exploratory study in an Argentine population.早产风险中的基因、暴露因素及相互作用:一项针对阿根廷人群的探索性研究。
J Community Genet. 2022 Dec;13(6):557-565. doi: 10.1007/s12687-022-00605-z. Epub 2022 Aug 17.
2
Gene-environment interactions and preterm birth predictors: A Bayesian network approach.基因-环境相互作用与早产预测因素:一种贝叶斯网络方法。
Genet Mol Biol. 2024 Jan 19;46(4):e20230090. doi: 10.1590/1678-4685-GMB-2023-0090. eCollection 2024.
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Environmental and genetic risk factors for preterm birth: interplays with stressful events during pregnancy.早产的环境和遗传风险因素:与孕期应激事件的相互作用
Pediatr Res. 2025 Apr 15. doi: 10.1038/s41390-025-04047-4.
2
Gene-environment interactions and preterm birth predictors: A Bayesian network approach.基因-环境相互作用与早产预测因素:一种贝叶斯网络方法。
Genet Mol Biol. 2024 Jan 19;46(4):e20230090. doi: 10.1590/1678-4685-GMB-2023-0090. eCollection 2024.

本文引用的文献

1
Preterm birth etiological pathways: a Bayesian networks and mediation analysis approach.早产病因途径:贝叶斯网络和中介分析方法。
Pediatr Res. 2022 Jun;91(7):1882-1889. doi: 10.1038/s41390-021-01659-4. Epub 2021 Jul 19.
2
Twelve years of SAMtools and BCFtools.SAMtools 和 BCFtools 十二年。
Gigascience. 2021 Feb 16;10(2). doi: 10.1093/gigascience/giab008.
3
[Social inequities in teenage mothers and the relationship to adverse perinatal outcomes in South American populations].[南美洲青少年母亲中的社会不平等现象及其与不良围产期结局的关系]
Cad Saude Publica. 2021 Jan 11;36(12):e00247719. doi: 10.1590/0102-311X00247719. eCollection 2021.
4
Preterm birth and genitourinary tract infections: assessing gene-environment interaction.早产与泌尿生殖道感染:评估基因-环境相互作用
Pediatr Res. 2021 Sep;90(3):678-683. doi: 10.1038/s41390-020-01200-z. Epub 2020 Oct 18.
5
Power and Sample Size Calculations for Genetic Association Studies in the Presence of Genetic Model Misspecification.存在遗传模型误设时遗传关联研究的功效与样本量计算
Hum Hered. 2019;84(6):256-271. doi: 10.1159/000508558. Epub 2020 Jul 28.
6
Association of Air Pollution and Heat Exposure With Preterm Birth, Low Birth Weight, and Stillbirth in the US: A Systematic Review.空气污染和热暴露与美国早产、低出生体重和死胎的关联:系统评价。
JAMA Netw Open. 2020 Jun 1;3(6):e208243. doi: 10.1001/jamanetworkopen.2020.8243.
7
The relationship between maternal anemia during pregnancy with preterm birth: a systematic review and meta-analysis.孕期母体贫血与早产的关系:系统评价和荟萃分析。
J Matern Fetal Neonatal Med. 2020 Aug;33(15):2679-2689. doi: 10.1080/14767058.2018.1555811. Epub 2019 Apr 9.
8
Global, regional, and national estimates of levels of preterm birth in 2014: a systematic review and modelling analysis.2014 年全球、区域和国家早产儿发生率的估计值:系统评价和建模分析。
Lancet Glob Health. 2019 Jan;7(1):e37-e46. doi: 10.1016/S2214-109X(18)30451-0. Epub 2018 Oct 30.
9
A One-Penny Imputed Genome from Next-Generation Reference Panels.基于新一代参考面板的单分钱估算基因组。
Am J Hum Genet. 2018 Sep 6;103(3):338-348. doi: 10.1016/j.ajhg.2018.07.015. Epub 2018 Aug 9.
10
A systematic comparison of statistical methods to detect interactions in exposome-health associations.用于检测暴露组-健康关联中相互作用的统计方法的系统比较。
Environ Health. 2017 Jul 14;16(1):74. doi: 10.1186/s12940-017-0277-6.

早产风险中的基因、暴露因素及相互作用:一项针对阿根廷人群的探索性研究。

Genes, exposures, and interactions on preterm birth risk: an exploratory study in an Argentine population.

作者信息

Elias Dario E, Santos Maria R, Campaña Hebe, Poletta Fernando A, Heisecke Silvina L, Gili Juan A, Ratowiecki Julia, Cosentino Viviana, Uranga Rocio, Málaga Diana Rojas, Netto Alice Brinckmann Oliveira, Brusius-Facchin Ana Carolina, Saleme César, Rittler Mónica, Krupitzki Hugo B, Camelo Jorge S Lopez, Gimenez Lucas G

机构信息

Estudio Colaborativo Latino Americano de Malformaciones Congénitas (ECLAMC), Centro de Educación Médica e Investigaciones Clínicas-Consejo Nacional de Investigaciones Científicas Y Técnicas (CEMIC-CONICET), Galvan 4102 (C1431FWO), Ciudad Autónoma de Buenos Aires, Argentina.

Comisión de Investigaciones Científicas, Buenos Aires, Argentina.

出版信息

J Community Genet. 2022 Dec;13(6):557-565. doi: 10.1007/s12687-022-00605-z. Epub 2022 Aug 17.

DOI:10.1007/s12687-022-00605-z
PMID:35976607
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9681956/
Abstract

Preterm birth (PTB) is the main condition related to perinatal morbimortality worldwide. The aim of this study was to identify associations of spontaneous PTB with genetic variants, exposures, and interactions between and within them. We carried out a retrospective case-control study including parental sociodemographic and obstetric data, and fetal genetic variants. We sequenced the coding and flanking regions of five candidate genes from the placental blood cord of 69 preterm newborns and 61 at term newborns. We identify the characteristics with the greatest predictive power of PTB using penalized regressions, in which we include exposures (E), genetic variants (G), and two-way interactions. Few prenatal visits (< 5) was the main predictor of PTB from 26 G, 35 E, 299 G × G, 564 E × E, and 875 G × E evaluated terms. Within the fetal genetic characteristics, we observed associations of rs4845397 (KCNN3, allele T) variant; G × G interaction between rs12621551 (COL4A3, allele T) and rs73993878 (COL4A3, allele A), which showed sensitivity to anemia; and G × G interaction between rs11680670 (COL4A3, allele T) and rs2074351 (PON1, allele A), which showed sensitivity to vaginal discharge. The results of this exploratory study suggest that social disparities and metabolic pathways linked to uterine relaxation, inflammation/infections, and collagen metabolism would be involved in PTB etiology. Future studies with a larger sample size are necessary to confirm these findings and to analyze a greater number of exposures.

摘要

早产是全球围产期发病和死亡的主要相关情况。本研究的目的是确定自发性早产与基因变异、暴露因素以及它们之间和内部的相互作用之间的关联。我们进行了一项回顾性病例对照研究,纳入了父母的社会人口统计学和产科数据以及胎儿基因变异。我们对69例早产新生儿和61例足月新生儿的胎盘血脐带中五个候选基因的编码区和侧翼区进行了测序。我们使用惩罚回归来确定早产预测能力最强的特征,其中纳入了暴露因素(E)、基因变异(G)和双向相互作用。在评估的26个G、35个E、299个G×G、564个E×E和875个G×E因素中,产前检查次数少(<5次)是早产的主要预测因素。在胎儿基因特征方面,我们观察到rs4845397(KCNN3,等位基因T)变异的关联;rs12621551(COL4A3,等位基因T)和rs73993878(COL4A3,等位基因A)之间的G×G相互作用,其对贫血敏感;以及rs11680670(COL4A3,等位基因T)和rs2074351(PON1,等位基因A)之间的G×G相互作用,其对阴道分泌物敏感。这项探索性研究的结果表明,与子宫松弛、炎症/感染和胶原蛋白代谢相关的社会差异和代谢途径可能参与早产的病因。需要进行更大样本量的未来研究来证实这些发现并分析更多的暴露因素。