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Sci Data. 2018 Nov 6;5:180219. doi: 10.1038/sdata.2018.219.

Enabling precision medicine in neonatology, an integrated repository for preterm birth research.

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Institute for Computational Health Sciences, University of California, San Francisco, CA 94158, USA.
Department of Pediatrics, University of California, San Francisco, CA 94158, USA.
Northrop Grumman Health Solutions, Rockville, MD 20850, USA.
Enterprise Science And Computing, Inc., Rockville, MD 20850, USA.
March of Dimes, White Plains, NY 10605, USA.
March of Dimes Prematurity Research Center at Stanford, Department of Pediatrics, Stanford University School of Medicine Stanford, CA 94305, USA.
Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
Department of Obstetrics and Gynecology, Washington University in St Louis, St. Louis, MO 63110, USA.
Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA.
Cincinnati Children's Hospital Medical Center and University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA.
Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.
Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37212, USA.
Department of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60637, USA.


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 (, 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.

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