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Dataset Information

Omouma: a prospective mother and child cohort aiming to identify early biomarkers of pregnancy complications in women living in Qatar.


ABSTRACT:

Background

Pregnancy is governed by multiple molecular and cellular processes, which might influence pregnancy health and outcomes. Failure to predict and understand the cause of pregnancy complications, adverse pregnancy outcomes, infant's morbidity and mortality, have limited effective interventions. Integrative multi-omics technologies provide an unbiased platform to explore the complex molecular interactions with an unprecedented depth. The objective of the present protocol is to build a longitudinal mother-baby cohort and use multi-omics technologies to help identify predictive biomarkers of adverse pregnancy outcomes, early life determinants and their effect on child health.

Methods/design

One thousand pregnant women with a viable pregnancy in the first trimester (6-14

SUBMITTER: Kumar M 

PROVIDER: S-EPMC8377974 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature

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