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- Study Description
The Vaginal Microbiome Consortium team at Virginia Commonwealth University has conducted the Multi-Omic Microbiome Study: Pregnancy Initiative (MOMS-PI) in collaboration with the Global Alliance to Prevent Prematurity and Stillbirth (GAPPS) to better understand how microbiome and host profiles change throughout pregnancy and influence the establishment of the nascent microbiome in neonates. The team particularly focused on elucidation of the role of the microbiome and its components in the etiology of preterm birth, which occurs in over 10% of pregnancies and which is the leading cause of death in neonates. Samples from 1594 women and their neonates were collected throughout pregnancy, at delivery and postpartum. The group has generated a comprehensive dataset of multiple omics technologies. This longitudinal, large-scale effort was designed to provide a large-scale resource for the scientific community. The study also permits characterization of temporal dynamics of the microbiome in pregnancy and factors associated with preterm birth.
- Authorized Access
- Publicly Available Data (Public ftp)
- Study Inclusion/Exclusion Criteria
Overall study inclusion criteria:
- pregnant at the time of enrollment
- >=15 years old (15-17 years old with parental permission)
- willing to consent to study and provide parental permission for infant participation
Overall study exclusion criteria:
- not able to understand informed consent
- surrogate pregnancy
Infant data is deposited under maternal subject ID.
Please see the HMP DACC (https://portal.hmpdacc.org/), the Vaginal Microbiome Consortium (VMC) website (http://vmc.vcu.edu/resources/momspi) and/or relevant publications participant lists and information regarding inclusion/exclusion criteria for sub-studies. Additional data fields are available through RAMS Registry (https://ramsregistry.vcu.edu).
- Molecular Data
Type Source Platform Number of Oligos/SNPs SNP Batch Id Comment 16S rRNA Sequencing Illumina MiSeq N/A N/A Metagenomics Sequencing Illumina HiSeq 4000 N/A N/A Metatranscriptomics Sequencing Illumina HiSeq 4000 N/A N/A
- Selected publications
- Diseases/Traits Related to Study (MeSH terms)
- Links to Related Resources
- Authorized Data Access Requests
See research articles citing use of the data from this study
- Study Attribution