Multi-omic data integration and analyses for biomarker discovery of spontaneous preterm birth phenotypes

BackgroundPreterm birth, delivery 37 weeks (controls). Blood samples were profiled for genomics, transcriptomics and metabolomics. ANOVA analyses were performed at each gestational timepoint. Network enrichment analysis was performed on significant genes. ResultsAfter multi-omic data integration, 43 women at week 16 and 40 women at week 20 of gestation had all three genomics, transcriptomics and metabolomics profiles available. Multiple significant transcripts were detected (p<0.05) from the ANOVA analyses, though these were mostly in non-coding regions. ConclusionThree different omic data, genomics, transcriptomics and metabolomics, were integrated across the same individuals for biomarker analyses. Molecular signatures were detected that could lead to understanding the pathways involved in the different subgroups of preterm birth: SPTB and PPROM.