Enabling precision medicine in neonatology, an integrated repository for preterm birth research.
Marina SirotaCristel G ThomasRebecca LiuMaya ZuhlPayal BanerjeeRonald J WongCecele C QuaintanceRita LeiteJessica ChubizRebecca AndersonJoanne ChappellMara KimWilliam GrobmanGe ZhangAntonis RokasSarah K EnglandSamuel ParryGary M ShawJoe Leigh SimpsonElizabeth ThomsonAtul Janardhan Buttenull nullPublished in: Scientific data (2018)
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.
Keyphrases
- preterm birth
- gestational age
- low birth weight
- electronic health record
- big data
- single cell
- small molecule
- rna seq
- end stage renal disease
- emergency department
- preterm infants
- gene expression
- ejection fraction
- data analysis
- single molecule
- adverse drug
- genome wide
- dna methylation
- chronic kidney disease
- copy number
- peritoneal dialysis
- high throughput
- prognostic factors
- mental health