Expanding the Value of the EARLI Study: Small Cohort with Big Data | National Institute of Environmental Health Sciences
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Expanding the Value of the EARLI Study: Small Cohort with Big Data
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PI, Institution:
M. Daniele Fallin, Johns Hopkins University
Grant:
R24ES030893
Description:
Early Autism Risk Longitudinal Investigation (EARLI)
enrolled more than 260 pregnant mothers who already had a child with autism spectrum disorder (ASD) and followed the younger siblings through age 3 to examine possible environmental risk factors and genetic contributions for autism. For more information about this cohort, visit the NIEHS Epidemiology Resources webpage for
EARLI
Cohort Maintenance & Enrichment Activities:
Extending assessment of neurodevelopment through school age. Characterizing variability of heavy metals measurement across timing, family members, and biological samples. Continued collection and storage of shed deciduous teeth for new prenatal exposure assays. Developing and applying methods for phenotype and for exposure harmonization.
Data Management & Sharing Activities:
Migrating, enhancing, and increasing the reproducibility of EARLI research data to enable data sharing. Abstracting and integrating research- relevant variables from already collected prenatal and delivery medical records. Enhancing data science standards in the maintenance, query, and approved analytic practices of EARLI data to support and enforce pipeline protocols for public access packaging and uploading of data and analytic code.
Data Access:
Data from EARLI are shared via the National Database on Autism Research (NDAR), under multiple Collection numbers that correspond to particular funded awards. To date, these include NDAR collections 1600, 2462 and 2563.
Please see NIH RePORTER for
publications associated with this R24 grant
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Last Reviewed: January 05, 2026