TY - JOUR
T1 - Multi-Omics for Mothers and Infants (MOMI) Consortium
T2 - a global initiative to study adverse pregnancy outcomes
AU - Tang, Xin
AU - Ahmed, Salahuddin
AU - Ahmed, Farzana Bashir
AU - Albrecht, Vincent
AU - Brennsteiner, Vincenth
AU - Chang, Alan Lee
AU - Chowdhury, Nabidul Haque
AU - Deb, Saikat
AU - Gormley, Matthew
AU - Hasan, Tarik
AU - Kamulaza, Leah
AU - Khalid, Javairia
AU - Khan, Waqasuddin
AU - Khanam, Rasheda
AU - Kshetrapal, Pallavi
AU - Luo, Hanqi
AU - Maiti, Tushar K.
AU - Maitra, Arindam
AU - Mannan, Mohammad Mohsin
AU - Mueller-Reif, Johannes
AU - Mulenga, Clyde
AU - Nisar, Imran
AU - Pervin, Jesmin
AU - Pokaprakarn, Teeranan
AU - Price, Joni
AU - Qazi, Muhammad F.
AU - Rittenhouse, Katelyn
AU - Sebastiao, Yuri
AU - Sindano, Ntazana
AU - Sinha, Tulika
AU - Sopory, Shailaja
AU - Steger, Medini
AU - Thiruvengadam, Ramachandran
AU - Wadhwa, Nitya
AU - Xue, Lei
AU - Aghaeepour, Nima
AU - Baqui, Abdullah H.
AU - Bhatnagar, Shinjini
AU - Fisher, Susan
AU - Fox, Melissa
AU - Hampel, Daniela
AU - Kasaro, Margaret
AU - Mann, Matthias
AU - Rahman, Anisur
AU - Sazawal, Sunil
AU - Shenhav, Liat
AU - Stringer, Jeffrey Sa
AU - Zhang, Ge
AU - Jehan, Fyezah
AU - De Paris, Kristina
N1 - Publisher Copyright:
Copyright © 2026 by the Journal of Global Health. All rights reserved.
PY - 2026/4/3
Y1 - 2026/4/3
N2 - Background: The Multi-Omics for Mothers and Infants (MOMI) Consortium aims to define biological mechanisms associated with preterm birth, small for gestational age, preeclampsia, and stillbirth. Globally, the burden of adverse pregnancy outcomes (APOs) is highest in low- and middle-income countries (LMICs). The MOMI Consortium consists of six different LMIC sites established by The Alliance for Maternal and Newborn Health Improvement in Bangladesh, Pakistan, and Tanzania, the Global Alliance to Prevent Prematurity and Stillbirth in Bangladesh and Zambia, and the Interdisciplinary Group for Advanced Research on Birth Outcomes - DBT India Initiative. It also partners with five analytical partners and three bioinformatic teams. Methods: The combined MOMI cohort includes 24 321 pregnant women, a rich biorepository, and paired socioeconomic and clinical data. Considering the multifactorial aetiologies and molecular drivers of APOs, we applied an integrative multi-omics (genomics, metabolomics, proteomics, nutrient testing) approach to identify site-specific and cohort-wide signatures linked to distinct APOs. Conclusions: This protocol summarises the MOMI study design, sample and data collection methods, data harmonisation, and the various analytics platforms, and discusses potential outcomes for enhanced clinical care and novel diagnostic and therapeutic tools.
AB - Background: The Multi-Omics for Mothers and Infants (MOMI) Consortium aims to define biological mechanisms associated with preterm birth, small for gestational age, preeclampsia, and stillbirth. Globally, the burden of adverse pregnancy outcomes (APOs) is highest in low- and middle-income countries (LMICs). The MOMI Consortium consists of six different LMIC sites established by The Alliance for Maternal and Newborn Health Improvement in Bangladesh, Pakistan, and Tanzania, the Global Alliance to Prevent Prematurity and Stillbirth in Bangladesh and Zambia, and the Interdisciplinary Group for Advanced Research on Birth Outcomes - DBT India Initiative. It also partners with five analytical partners and three bioinformatic teams. Methods: The combined MOMI cohort includes 24 321 pregnant women, a rich biorepository, and paired socioeconomic and clinical data. Considering the multifactorial aetiologies and molecular drivers of APOs, we applied an integrative multi-omics (genomics, metabolomics, proteomics, nutrient testing) approach to identify site-specific and cohort-wide signatures linked to distinct APOs. Conclusions: This protocol summarises the MOMI study design, sample and data collection methods, data harmonisation, and the various analytics platforms, and discusses potential outcomes for enhanced clinical care and novel diagnostic and therapeutic tools.
UR - https://www.scopus.com/pages/publications/105034817869
U2 - 10.7189/jogh.16.05002
DO - 10.7189/jogh.16.05002
M3 - Article
C2 - 41926172
AN - SCOPUS:105034817869
SN - 2047-2978
VL - 16
SP - 5002
JO - Journal of Global Health
JF - Journal of Global Health
ER -