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

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 to...

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Autores principales: Sirota, Marina, Thomas, Cristel G., Liu, Rebecca, Zuhl, Maya, Banerjee, Payal, Wong, Ronald J., Quaintance, Cecele C., Leite, Rita, Chubiz, Jessica, Anderson, Rebecca, Chappell, Joanne, Kim, Mara, Grobman, William, Zhang, Ge, Rokas, Antonis, Muglia, Louis J, Ober, Carole, England, Sarah K., Macones, George, Driscoll, Deborah, Parry, Samuel, Shaw, Gary M., Stevenson, David K., Simpson, Joe Leigh, Thomson, Elizabeth, Butte, Atul J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6219406/
https://www.ncbi.nlm.nih.gov/pubmed/30398470
http://dx.doi.org/10.1038/sdata.2018.219
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author Sirota, Marina
Thomas, Cristel G.
Liu, Rebecca
Zuhl, Maya
Banerjee, Payal
Wong, Ronald J.
Quaintance, Cecele C.
Leite, Rita
Chubiz, Jessica
Anderson, Rebecca
Chappell, Joanne
Kim, Mara
Grobman, William
Zhang, Ge
Rokas, Antonis
Muglia, Louis J
Ober, Carole
England, Sarah K.
Macones, George
Driscoll, Deborah
Parry, Samuel
Shaw, Gary M.
Stevenson, David K.
Simpson, Joe Leigh
Thomson, Elizabeth
Butte, Atul J.
author_facet Sirota, Marina
Thomas, Cristel G.
Liu, Rebecca
Zuhl, Maya
Banerjee, Payal
Wong, Ronald J.
Quaintance, Cecele C.
Leite, Rita
Chubiz, Jessica
Anderson, Rebecca
Chappell, Joanne
Kim, Mara
Grobman, William
Zhang, Ge
Rokas, Antonis
Muglia, Louis J
Ober, Carole
England, Sarah K.
Macones, George
Driscoll, Deborah
Parry, Samuel
Shaw, Gary M.
Stevenson, David K.
Simpson, Joe Leigh
Thomson, Elizabeth
Butte, Atul J.
author_sort Sirota, Marina
collection PubMed
description 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.
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spelling pubmed-62194062018-11-07 Enabling precision medicine in neonatology, an integrated repository for preterm birth research Sirota, Marina Thomas, Cristel G. Liu, Rebecca Zuhl, Maya Banerjee, Payal Wong, Ronald J. Quaintance, Cecele C. Leite, Rita Chubiz, Jessica Anderson, Rebecca Chappell, Joanne Kim, Mara Grobman, William Zhang, Ge Rokas, Antonis Muglia, Louis J Ober, Carole England, Sarah K. Macones, George Driscoll, Deborah Parry, Samuel Shaw, Gary M. Stevenson, David K. Simpson, Joe Leigh Thomson, Elizabeth Butte, Atul J. Sci Data Data Descriptor 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. Nature Publishing Group 2018-11-06 /pmc/articles/PMC6219406/ /pubmed/30398470 http://dx.doi.org/10.1038/sdata.2018.219 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article.
spellingShingle Data Descriptor
Sirota, Marina
Thomas, Cristel G.
Liu, Rebecca
Zuhl, Maya
Banerjee, Payal
Wong, Ronald J.
Quaintance, Cecele C.
Leite, Rita
Chubiz, Jessica
Anderson, Rebecca
Chappell, Joanne
Kim, Mara
Grobman, William
Zhang, Ge
Rokas, Antonis
Muglia, Louis J
Ober, Carole
England, Sarah K.
Macones, George
Driscoll, Deborah
Parry, Samuel
Shaw, Gary M.
Stevenson, David K.
Simpson, Joe Leigh
Thomson, Elizabeth
Butte, Atul J.
Enabling precision medicine in neonatology, an integrated repository for preterm birth research
title Enabling precision medicine in neonatology, an integrated repository for preterm birth research
title_full Enabling precision medicine in neonatology, an integrated repository for preterm birth research
title_fullStr Enabling precision medicine in neonatology, an integrated repository for preterm birth research
title_full_unstemmed Enabling precision medicine in neonatology, an integrated repository for preterm birth research
title_short Enabling precision medicine in neonatology, an integrated repository for preterm birth research
title_sort enabling precision medicine in neonatology, an integrated repository for preterm birth research
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6219406/
https://www.ncbi.nlm.nih.gov/pubmed/30398470
http://dx.doi.org/10.1038/sdata.2018.219
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