ReviewInternational journal of hygiene and environmental health2021
Human Health Exposure Analysis Resource (HHEAR): A model for incorporating the exposome into health studies.
Review in International journal of hygiene and environmental health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed.
- Relationship of prenatal pesticide exposures with prenatal ultrasound and birth growth measures among offspring of women living with HIV.International journal of hygiene and environmental health · 2026Article
- Prediagnostic Plasma Metabolite Profiles and Prediction of Hepatocellular Carcinoma Risk: The Multiethnic Cohort.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026Article
- Associations of exposure to cotinine, polycyclic aromatic hydrocarbon, and metal(loid) mixtures during pregnancy with birth weight: the MIEHR study.Journal of exposure science & environmental epidemiology · 2026Article
- The Common Fund Data Ecosystem (CFDE).bioRxiv : the preprint server for biology · 2026Article
- SPE-UHPLC-MS/MS Method for Simultaneous Quantification of 50 Pesticide Biomarkers Across Nine Current-Use Chemical Classes in Human Urine.Journal of xenobiotics · 2026Article
- The development of the Human Health Exposure Analysis Resource (HHEAR) Data Repository for environmental epidemiology research.Environment international · 2026Article
- Rationale and Design of the International Prospective Study of CKD of Uncertain Etiology in Agricultural Communities.Kidney international reports · 2025Article
- Exposures to Contemporary and Emerging Chemicals among Children Aged 2 to 4 Years in the United States Environmental Influences on the Child Health Outcome (ECHO) Cohort.Environmental science & technology · 2025Article
- Advancing Understanding of Chemical Exposures and Maternal-child Health Through the U.S. Environmental Influences on Child Health Outcomes (ECHO) Program: A Scoping Review.Current environmental health reports · 2024Article
- Gene-environment interactions within a precision environmental health framework.Cell genomics · 2024Review
- Combined Exposures and Mixtures Research: An Enduring NIEHS Priority.Environmental health perspectives · 2024Article
- Opportunities for Examining Child Health Impacts of Early-Life Nutrition in the ECHO Program: Maternal and Child Dietary Intake Data from Pregnancy to Adolescence.Current developments in nutrition · 2023Article
- Enriching Real-world Data with Social Determinants of Health for Health Outcomes and Health Equity: Successes, Challenges, and Opportunities.Yearbook of medical informatics · 2023Article
- Newborn metabolomic signatures of maternal per- and polyfluoroalkyl substance exposure and reduced length of gestation.Nature communications · 2023Article
- The Environmental Conditions, Treatments, and Exposures Ontology (ECTO): connecting toxicology and exposure to human health and beyond.Journal of biomedical semantics · 2023Article
- The Exposome and Nutritional Pharmacology and Toxicology: A New Application for Metabolomics.Exposome · 2023Article
- Article
- Understanding exposures and latent disease risk within the National Institute of Environmental Health Sciences Superfund Research Program.Experimental biology and medicine (Maywood, N.J.) · 2022Article
- Selecting External Controls for Internal Cases Using Stratification Score Matching Methods.International journal of environmental research and public health · 2022Article
- Correlation Analysis of Variables From the Atherosclerosis Risk in Communities Study.Frontiers in pharmacology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
backgroundCharacterizing the complexity of environmental exposures in relation to human health is critical to advancing our understanding of health and disease throughout the life span. Extant cohort studies open the door for such investigations more rapidly and inexpensively than launching new cohort studies and the Human Health Exposure Analysis Resource (HHEAR) provides a resource for implementing life-stage exposure studies within existing study populations. Primary challenges to incorporation of environmental exposure assessment in health studies include: (1) lack of widespread knowledge of biospecimen and environmental sampling and storage requirements for environmental exposure assessment among investigators; (2) lack of availability of and access to laboratories capable of analyzing multiple environmental exposures throughout the life-course; and (3) studies lacking sufficient power to assess associations across life-stages. HHEAR includes a consortium of researchers with expertise in laboratory analyses, statistics and logistics to overcome these limitations and enable inclusion of exposomics in human health studies.
objectiveThis manuscript describes the structure and strengths of implementing the harmonized HHEAR resource model, and our approaches to addressing challenges. We describe how HHEAR incorporates analyses of biospecimens and environmental samples and human health studies across the life span - serving as a model for incorporating environmental exposures into national and international research. We also present program successes to date. DISCUSSION: HHEAR provides a full-service laboratory and data analysis exposure assessment resource, linking scientific, life span, and toxicological consultation with both laboratory and data analysis expertise. HHEAR services are provided without cost but require NIH, NCI, NHLBI, or ECHO funding of the original cohort; internal HHEAR scientific review and approval of a brief application; and adherence to data sharing and publication policies. We describe the benefits of HHEAR's structure, collaborative framework and coordination across project investigators, analytical laboratories, biostatisticians and bioinformatics specialists; quality assurance/quality control (QA/QC) including integrated sample management; and tools that have been developed to support the research (exposure information pages, ontology, new analytical methods, common QA/QC approach across laboratories, etc.). This foundation supports HHEAR's inclusion of new laboratory and statistical analysis methods and studies that are enhanced by including targeted analysis of specific exposures and untargeted analysis of chemicals associated with phenotypic endpoints in biological and environmental samples.
conclusionHHEAR is an interdisciplinary team of toxicologists, epidemiologists, laboratory scientists, and data scientists across multiple institutions to address broad and complex questions that benefit from integrated laboratory and data analyses. HHEAR's processes, features, and tools include all life stages and analysis of biospecimens and environmental samples. They are available to the wider scientific community to augment studies by adding state of the art environmental analyses to be linked to human health outcomes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.