Data descriptor: Enabling precision medicine in neonatology, an integrated repository for preterm birth research

March of Dimes Prematurity Research Centers

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article number180219
JournalScientific Data
Volume5
DOIs
StatePublished - 2018

Funding

Research reported in this publication was supported by the National Institute of Allergy and Infectious Diseases (Bioinformatics Support Contract HHSN272201200028C) and the March of Dimes. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or the March of Dimes.

ASJC Scopus subject areas

  • Information Systems
  • Education
  • Library and Information Sciences
  • Statistics and Probability
  • Computer Science Applications
  • Statistics, Probability and Uncertainty

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