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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
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Data resource profile: the ORIGINS project databank: a collaborative data resource for investigating the

Belinda C Davey1, Wesley Billingham1, Jacqueline A Davis1,2,3

  • 1Telethon Kids Institute, North Entrance Perth Children's Hospital, 15 Hospital Ave, Nedlands, WA 6009, Australia.

International Journal of Population Data Science
|March 28, 2025
PubMed

Insights

The ORIGINS Project is a large birth cohort study collecting health data from mothers and children to reduce non-communicable diseases. This comprehensive dataset enables research into early life factors influencing long-term health outcomes.

Area of Science:

  • Population Health
  • Epidemiology
  • Genetics

Background:

  • The ORIGINS Project is a longitudinal, population-level birth cohort study.
  • It aims to reduce non-communicable diseases (NCDs) and promote healthy early life development.
  • The project collects extensive data and biosamples from mothers, partners, and children across multiple health domains.

Purpose of the Study:

  • To establish a comprehensive dataset for research into NCDs and early life health.
  • To facilitate the identification of factors influencing child development and long-term health.
  • To support a 'healthy start to life' through population-level research.

Main Methods:

  • Recruitment of mothers, non-birthing partners, and offspring antenatally (18-38 weeks gestation) in Perth, Western Australia (2017-2024).
  • Data collection from routine hospital records, clinical appointments, and online surveys.
  • Data integration via a secure, cloud-based platform (AWS) with rigorous quality control measures.

Main Results:

  • Millions of data points and over 400,000 biosamples collected across 15 timepoints (antenatal to five years).
  • Data encompass four key domains: Growth and development, Medical/biological/genetic, Biopsychosocial/cognitive, and Lifestyle/environment/nutrition.
  • Integrated data platform ensures data quality through cleaning, linking, and cataloging for sub-project use.

Conclusions:

  • The extensive dataset and biosamples offer broad research potential.
  • Future research can investigate antenatal and early childhood predictors of middle childhood outcomes.
  • Linking to national datasets will expand research capabilities for diverse health questions.
Abstract

Keywords:
DoHADORIGINSbirth cohortchildhooddatabankdevelopmentlongitudinalmicrobiomenon-communicable diseasepopulation-level

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