Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/88471
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Type: Journal article
Title: An integrated systems biology approach to the study of preterm birth using "-omic" technology - a guideline for research
Author: Gracie, S.
Pennell, C.
Ekman-Ordeberg, G.
Lye, S.
McManaman, J.
Williams, S.
Palmer, L.
Kelley, M.
Menon, R.
Gravett, M.
Citation: BMC Pregnancy and Childbirth, 2011; 11(71):71-1-71-12
Publisher: BioMed Central
Issue Date: 2011
ISSN: 1471-2393
1471-2393
Statement of
Responsibility: 
Sara Gracie, Craig Pennell, Gunvor Ekman-Ordeberg, Stephen Lye, James McManaman, Scott Williams, Lyle Palmer, Maureen Kelley, Ram Menon and Michael Gravett, for the PREBIC "-Omics" Research Group
Abstract: Preterm birth is the leading cause of neonatal mortality and perinatal morbidity. The etiology of preterm is multi-factorial and still unclear. As evidence increases for a genetic contribution to PTB, so does the need to explore genomics, transcriptomics, proteomics and metabolomics in its study. This review suggests research guidelines for the conduct of high throughput systems biology investigations into preterm birth with the expectation that this will facilitate the sharing of samples and data internationally through consortia, generating the power needed to study preterm birth using integrated “-omics” technologies. The issues to be addressed include: (1) integrated “-omics” approaches, (2) phenotyping, (3) sample collection, (4) data management-integrative databases, (5) international consortia and (6) translational feasibility. This manuscript is the product of discussions initiated by the “-Omics” Working Group at the Preterm Birth International Collaborative Meeting held at the World Health Organization, Geneva, Switzerland in April 2009.
Keywords: PREBIC "-Omics" Research Group
Rights: © 2011 Gracie et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
DOI: 10.1186/1471-2393-11-71
Published version: http://dx.doi.org/10.1186/1471-2393-11-71
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Translational Health Science publications

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