Welcome & Reflections on Day 1Informing Environmental Health Decisions

Through Data Integration

HIGH DIMENSIONAL EXPOSURES, MEDIATORS, OUTCOMES

• 1st trimester enrollment, urine,

urine metal metabolomics

• EMR, ultrasound data

• Cord/maternal blood

metabolomics

• 1st trimester exposome

wristband

• Pediatric teeth metallome

analysis (6 y)

• Pulmonary Function (7.5 y)

• EMR health outcome data

• Telephone interviews

******

• Stool, Saliva (microbiome)

• Urine (3 y)

• DEXA Scan (3 y)

• Accelerometer (3 y)

• Food & natural built Environment

• Personal Air Monitor (3 y)

IN UTERO EXPOSURES MID CHILDHOODINFANCY/EARLY CHILDHOOD

3D

R25 Postdoctoral Fellowship: Cross-disciplinary training in population sciences

QBS PhD Program: Interdisciplinary Training in Epidemiology, Biostatistics, & Bioinformatics

QBS Masters Program: Concentrations in Epidemiology or Health Data Science

Burroughs Welcome Fund: Big Data in the Life Sciences Training Program

NIH Big Data to Knowledge (BD2K) Training Program

DAY 1: FUNDAMENTAL CONCEPTS, PRINCIPLES & VISION FOR THEFUTURE OF DATA INTEGRATION FOR THE ENVIRONMENTAL HEALTHSCIENCES• New Types of Data & Tools for Integration to Address Emerging Environmental Health

Questions & Improve Public Health– Foundation & framework & focus; defining what is the question you are asking? Not just what we can

do, but what we should do; rethinking the way we do things, keeping what we do well. HERCULES Exposome Research Center, as opportunity to apply new ideas. Importance of transparency & replication; reducing measurement error & quality control

• Vigilant Approaches to Integrating Data– Future reliance on consortia studies provides greater generalizability (+ increases

heterogeneity/complexity) & can increase statistical power (but not always); Importance of looking atn on-linearity; exposure mixtures; Pooling data, advantages of shared data centers. Children’s Health Exposure Analysis Resource (CHEAR) program Data Repository, Analysis and Science Center, multi-level quality control, intra- & inter-lab QC measures

• Where We’ve Been & Where We Want to Go? – NIEHS investments to make data & knowledge available to researchers, including supporting

innovative workshops & critical resources, Comparative Toxicogenomics Database (CTD); NTP Toxico-Informatics visualization tools; Big Data to Knowledge Initiative; Support for FAIR (Findable, Accessible, Interoperable, and Re-usable) principles; Children’s Health Exposure Analysis Resource (CHEAR) potential expansion; NIEHS’ participation in the NIH Data Commons initiative & more

• Importance of Ontology-Enabled Resources– Introduced to principles of ontologies requisite to identification and integration of multiple data

streams & reproducibility to supporting decision making; Process of building ontologies (i.e., don’t reinvent the wheel), with application to CHEAR, highlighting the importance of diverse teams!

• Data Sharing, Human Subjects & Institutional Policy Considerations– BioCADDIE, DataMed to search repositories and data sets; Approaches sharing data while protecting

individual privacy & institutions – simplified paradigm; innovative methods for engaging participants in the decision on which data & samples can be shared

DAY 1: EMERGING APPROACHES TOENVIRONMENTAL HEALTH DATA INTEGRATION

• With Clinical Outcomes– Precision Medicine Initiative, All of Us; and specifically the California Precision Medicine Consortium

leveraging Health Provider Organizations & volunteers, electronic consenting, physical exams, biospecimens, EHR data,wearables/sensors; Protocol available & input sought!

– Funding for EHR systems, but not their use; UC and United Health Care to advance data integration and patient trajectories.

– The EHR is here! Saw it. Using EHR for disease phenotyping & integration with genotype data; eMERGEnetwork of biorepositories linked to EHR, example of Marshfield Clinic & its use of the PhenX toolkit for standardized instruments. PLATO – Platform for the Analysis, Translation and Organization of large-scaled data

– Integrating high resolution data from personal real time monitors with other sensor and risk factor data to investigate health outcomes; PRISM program for asthma & other outcomes; sensors help us understand time course, context, new sources of exposure, heterogeneity in responses, and can inform patient management; caveats/cautions (i.e., compliance, quality, data volume, ethics, feedback can influence behavior)

• In the Context of Risk Assessment – Recent Advances– Evidence integration within data streams and across multiple streams i.e., human, animal, mechanistic,

modeled data, illustrated by EPA’s Integrated Risk Assessment System (IRIS) for chemical assessments– Data integration approaches for hazard and exposure assessment through the RISK21 platform, and its

application to predict new, untested compounds and prioritize chemicals of concern. – Connecting people to data, including relationships between end users and data generators. OpenTox

collaboration for predictive toxicology. Toxbank portal to facilitate best practices. New global initiative NanoCommons.

• Data Visualization is Key – Practical guidelines & basic concepts– How data visualization can help make better sense, connections, decisions; Visualization carpet?– Data counseling as a process of bringing together stake holders into designing data visuals

Welcome to Day 2Informing Environmental Health Decisions

Through Data IntegrationFebruary 20-21, 2018

http://nas-sites.org/emergingscience/

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