Scalable combinatorial tools for health disparities research

Michael A. Langston, Robert S. Levine, Barbara J. Kilbourne, Gary L. Rogers, Anne D. Kershenbaum, Suzanne H. Baktash, Steven S. Coughlin, Arnold M. Saxton, Vincent K. Agboto, Darryl B. Hood, Maureen Y. Litchveld, Tonny J. Oyana, Patricia Matthews-Juarez, Paul D. Juarez

Research output: Contribution to journalArticle

10 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)10419-10443
Number of pages25
JournalInternational journal of environmental research and public health
Volume11
Issue number10
DOIs
StatePublished - Oct 10 2014

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Environmental Exposure
Health
Research
Systems Theory
Gene-Environment Interaction
Environmental Health
Human Genome
Financial Management
Chronic Disease
Public Health
Research Personnel
Genome
Population
Neoplasms

All Science Journal Classification (ASJC) codes

  • Public Health, Environmental and Occupational Health
  • Health, Toxicology and Mutagenesis

Cite this

Langston, M. A., Levine, R. S., Kilbourne, B. J., Rogers, G. L., Kershenbaum, A. D., Baktash, S. H., ... Juarez, P. D. (2014). Scalable combinatorial tools for health disparities research. International journal of environmental research and public health, 11(10), 10419-10443. https://doi.org/10.3390/ijerph111010419

Scalable combinatorial tools for health disparities research. / Langston, Michael A.; Levine, Robert S.; Kilbourne, Barbara J.; Rogers, Gary L.; Kershenbaum, Anne D.; Baktash, Suzanne H.; Coughlin, Steven S.; Saxton, Arnold M.; Agboto, Vincent K.; Hood, Darryl B.; Litchveld, Maureen Y.; Oyana, Tonny J.; Matthews-Juarez, Patricia; Juarez, Paul D.

In: International journal of environmental research and public health, Vol. 11, No. 10, 10.10.2014, p. 10419-10443.

Research output: Contribution to journalArticle

Langston, MA, Levine, RS, Kilbourne, BJ, Rogers, GL, Kershenbaum, AD, Baktash, SH, Coughlin, SS, Saxton, AM, Agboto, VK, Hood, DB, Litchveld, MY, Oyana, TJ, Matthews-Juarez, P & Juarez, PD 2014, 'Scalable combinatorial tools for health disparities research', International journal of environmental research and public health, vol. 11, no. 10, pp. 10419-10443. https://doi.org/10.3390/ijerph111010419
Langston MA, Levine RS, Kilbourne BJ, Rogers GL, Kershenbaum AD, Baktash SH et al. Scalable combinatorial tools for health disparities research. International journal of environmental research and public health. 2014 Oct 10;11(10):10419-10443. https://doi.org/10.3390/ijerph111010419
Langston, Michael A. ; Levine, Robert S. ; Kilbourne, Barbara J. ; Rogers, Gary L. ; Kershenbaum, Anne D. ; Baktash, Suzanne H. ; Coughlin, Steven S. ; Saxton, Arnold M. ; Agboto, Vincent K. ; Hood, Darryl B. ; Litchveld, Maureen Y. ; Oyana, Tonny J. ; Matthews-Juarez, Patricia ; Juarez, Paul D. / Scalable combinatorial tools for health disparities research. In: International journal of environmental research and public health. 2014 ; Vol. 11, No. 10. pp. 10419-10443.
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