Suppr超能文献

一项关于妊娠高血压疾病的外部暴露组全基因组关联研究。

An external exposome-wide association study of hypertensive disorders of pregnancy.

机构信息

Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, FL, USA.

Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, FL, USA.

出版信息

Environ Int. 2020 Aug;141:105797. doi: 10.1016/j.envint.2020.105797. Epub 2020 May 12.

Abstract

It is widely recognized that exogenous factors play an important role in the development of hypertensive disorders of pregnancy (HDP). However, only a few external environmental factors have been studied, often separately, with no attempt to examine the totality of the external environment, or the external exposome. We conducted an external exposome-wide association study (ExWAS) using the Florida Vital Statistics Birth Records including 819,399 women with live births in 2010-2013. A total of 5784 factors characterizing women's surrounding natural, built, and social environment during pregnancy from 10 data sources were collected, harmonized, integrated, and spatiotemporally linked to the women based on pregnancy periods using 250 m buffers around their geocoded residential addresses. A random 50:50 split divided the data into discovery and replication sets, and a 3-phase procedure was used. In phase 1, associations between HDP and individual factors were examined, and Bonferroni adjustment was performed. In phase 2, an elastic net model was used to perform variable selection among significant variables from phase 1. In phase 3, a multivariable logistic regression model including all variables selected by the elastic net model was fitted. Variables that were significant in both the discovery and replication sets were retained. Among the 528 and 490 variables identified in Phase 1, 232 and 224 were selected by the elastic net model in Phase 2, and 67 and 48 variables remained statistically significant in Phase 3 in the discovery and replication sets, respectively. A total of 12 variables were significant in both the discovery and replication sets, including air toxicants (e.g., 2,2,4-trimethylpentane), meteorological factors (e.g., omega or vertical velocity at 125mb pressure level), neighborhood crime and safety (e.g., burglary rate), and neighborhood sociodemographic status (e.g., urbanization). This is the first large external exposome study of HDP. It confirmed some of the previously reported associations and generated unexpected predictors within the environment that may warrant more focused evaluation.

摘要

人们普遍认为,外源性因素在妊娠高血压疾病(HDP)的发展中起着重要作用。然而,只有少数外部环境因素得到了研究,而且往往是单独研究的,没有试图检查外部环境的整体情况,或者外部暴露组。我们使用佛罗里达州生命统计出生记录进行了一项外部暴露组全关联研究(ExWAS),该记录包括 2010-2013 年期间 819399 名活产女性。从 10 个数据源中收集了 5784 个描述女性在怀孕期间周围自然、建筑和社会环境的因素,根据妊娠期间对她们的地理编码居住地址周围 250 米的缓冲区进行了协调、整合和时空链接。数据随机分为 50:50 进行发现和复制集,使用 3 阶段程序。在第 1 阶段,检查了 HDP 与个体因素之间的关联,并进行了 Bonferroni 调整。在第 2 阶段,使用弹性网络模型对第 1 阶段中显著变量进行了变量选择。在第 3 阶段,拟合了包括弹性网络模型选择的所有变量的多变量逻辑回归模型。在发现和复制集中均显著的变量被保留。在第 1 阶段确定的 528 个和 490 个变量中,第 2 阶段弹性网络模型分别选择了 232 个和 224 个,在发现和复制集中第 3 阶段分别有 67 个和 48 个变量仍然具有统计学意义。在发现和复制集中均有意义的变量共有 12 个,包括空气毒物(例如,2,2,4-三甲基戊烷)、气象因素(例如,125mb 压力水平下的 omega 或垂直速度)、邻里犯罪和安全(例如,盗窃率)以及邻里社会人口统计学地位(例如,城市化)。这是第一项关于 HDP 的大型外部暴露组研究。它证实了一些先前报道的关联,并在环境中产生了一些可能需要更集中评估的意外预测因子。

相似文献

8
Ambient air pollution and hypertensive disorder of pregnancy.环境空气污染与妊娠期高血压疾病
J Epidemiol Community Health. 2014 Jan;68(1):13-20. doi: 10.1136/jech-2013-202902. Epub 2013 Sep 10.
10
Influence of the Urban Exposome on Birth Weight.城市暴露组学对出生体重的影响。
Environ Health Perspect. 2019 Apr;127(4):47007. doi: 10.1289/EHP3971.

引用本文的文献

9
Methodological Challenges in Spatial and Contextual Exposome-Health Studies.空间与环境暴露组-健康研究中的方法学挑战
Crit Rev Environ Sci Technol. 2023;53(7):827-846. doi: 10.1080/10643389.2022.2093595. Epub 2022 Jul 4.

本文引用的文献

1
Ambient Air Pollution and Preeclampsia: Looking Back and Moving Forward.环境空气污染与子痫前期:回顾与展望
Hypertension. 2020 Mar;75(3):618-619. doi: 10.1161/HYPERTENSIONAHA.119.13269. Epub 2020 Jan 6.
3
Influence of the Urban Exposome on Birth Weight.城市暴露组学对出生体重的影响。
Environ Health Perspect. 2019 Apr;127(4):47007. doi: 10.1289/EHP3971.
6
Applying an Exposome-Wide (ExWAS) Approach to Cancer Research.将全暴露组(ExWAS)方法应用于癌症研究。
Front Oncol. 2018 Aug 27;8:313. doi: 10.3389/fonc.2018.00313. eCollection 2018.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验