Institute for Computational Health Sciences, University of California, San Francisco, CA 94158, USA.
Department of Pediatrics, University of California, San Francisco, CA 94158, USA.
Sci Data. 2018 Nov 6;5:180219. doi: 10.1038/sdata.2018.219.
Preterm birth, or the delivery of an infant prior to 37 weeks of gestation, is a significant cause of infant morbidity and mortality. In the last decade, the advent and continued development of molecular profiling technologies has enabled researchers to generate vast amount of 'omics' data, which together with integrative computational approaches, can help refine the current knowledge about disease mechanisms, diagnostics, and therapeutics. Here we describe the March of Dimes' Database for Preterm Birth Research (http://www.immport.org/resources/mod), a unique resource that contains a variety of 'omics' datasets related to preterm birth. The database is open publicly, and as of January 2018, links 13 molecular studies with data across tens of thousands of patients from 6 measurement modalities. The data in the repository are highly diverse and include genomic, transcriptomic, immunological, and microbiome data. Relevant datasets are augmented with additional molecular characterizations of almost 25,000 biological samples from public databases. We believe our data-sharing efforts will lead to enhanced research collaborations and coordination accelerating the overall pace of discovery in preterm birth research.
早产,即妊娠 37 周前分娩,是婴儿发病率和死亡率的重要原因。在过去的十年中,分子分析技术的出现和不断发展使研究人员能够生成大量的“组学”数据,这些数据与综合计算方法相结合,可以帮助完善目前对疾病机制、诊断和治疗的认识。在这里,我们描述了 March of Dimes' Database for Preterm Birth Research(http://www.immport.org/resources/mod),这是一个独特的资源,包含与早产相关的各种“组学”数据集。该数据库是公开的,截至 2018 年 1 月,它将 13 项分子研究与来自 6 种测量模式的数万名患者的数据联系起来。存储库中的数据高度多样化,包括基因组、转录组、免疫学和微生物组数据。相关数据集还增加了来自公共数据库的近 25000 个生物样本的其他分子特征。我们相信,我们的数据共享工作将促进增强研究合作和协调,加速早产研究的整体发现速度。