ArticleInternational journal of environmental research and public health2014
Scalable combinatorial tools for health disparities research.
Article in International journal of environmental research and public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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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.
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Who cites it
17 citing papers in PubMed, 23 citations in OpenAlex.
- Seminar: Scalable Preprocessing Tools for Exposomic Data Analysis.Environmental health perspectives · 2023Article
- The public health exposome and pregnancy-related mortality in the United States: a high-dimensional computational analysis.BMC public health · 2022Article
- Rethinking of Environmental Health Risks: A Systematic Approach of Physical-Social Health Vulnerability Assessment on Heavy-Metal Exposure through Soil and Vegetables.International journal of environmental research and public health · 2021Article
- Molecular Subtyping and Outlier Detection in Human Disease Using the Paraclique Algorithm.Algorithms · 2021Article
- Use of an Exposome Approach to Understand the Effects of Exposures From the Natural, Built, and Social Environments on Cardio-Vascular Disease Onset, Progression, and Outcomes.Frontiers in public health · 2020Review
- Accidental Infant Suffocation and Strangulation in Bed: Disparities and Opportunities.Maternal and child health journal · 2019Article
- Inherited alterations of TGF beta signaling components in Appalachian cervical cancers.Cancer causes & control : CCC · 2019Article
- Application of the Public Health Exposome Framework to Estimate Phenotypes of Resilience in a Model Ohio African-American Women's Cohort.Journal of urban health : bulletin of the New York Academy of Medicine · 2019Article
- Graph Theoretical Analysis of Genome-Scale Data: Examination of Gene Activation Occurring in the Setting of Community-Acquired Pneumonia.Shock (Augusta, Ga.) · 2018Article
- Enhancing Disaster Resilience by Reducing Stress-Associated Health Impacts.Frontiers in public health · 2018Review
- Applying an Exposome-Wide (ExWAS) Approach to Cancer Research.Frontiers in oncology · 2018Article
- The Deepwater Horizon Oil Spill Through the Lens of Human Health and the Ecosystem.Current environmental health reports · 2016Review
- Application of Citizen Science Risk Communication Tools in a Vulnerable Urban Community.International journal of environmental research and public health · 2015Article
- The public health exposome: a population-based, exposure science approach to health disparities research.International journal of environmental research and public health · 2014Article
- Exploration of preterm birth rates using the public health exposome database and computational analysis methods.International journal of environmental research and public health · 2014Article
- A novel approach to analyzing lung cancer mortality disparities: Using the exposome and a graph-theoretical toolchain.Environmental diseaseArticle
- A multifactorial obesity model developed from nationwide public health exposome data and modern computational analyses.Obesity research & clinical practiceArticle
Corrections and comments
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Authors and funding
14 authors at 7 institutions in 1 country.
Funding
Abstract
Despite staggering investments made in unraveling the human genome, current estimates suggest that as much as 90% of the variance in cancer and chronic diseases can be attributed to factors outside an individual's genetic endowment, particularly to environmental exposures experienced across his or her life course. New analytical approaches are clearly required as investigators turn to complicated systems theory and ecological, place-based and life-history perspectives in order to understand more clearly the relationships between social determinants, environmental exposures and health disparities. While traditional data analysis techniques remain foundational to health disparities research, they are easily overwhelmed by the ever-increasing size and heterogeneity of available data needed to illuminate latent gene x environment interactions. This has prompted the adaptation and application of scalable combinatorial methods, many from genome science research, to the study of population health. Most of these powerful tools are algorithmically sophisticated, highly automated and mathematically abstract. Their utility motivates the main theme of this paper, which is to describe real applications of innovative transdisciplinary models and analyses in an effort to help move the research community closer toward identifying the causal mechanisms and associated environmental contexts underlying health disparities. The public health exposome is used as a contemporary focus for addressing the complex nature of this subject.
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What OpenQuestion holds
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.