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Molster CM, Bowman FL, Bilkey GA, Cho AS, Burns BL, Nowak KJ, Dawkins HJS. The Evolution of Public Health Genomics: Exploring Its Past, Present, and Future. Front Public Health 2018; 6:247. [PMID: 30234091 PMCID: PMC6131666 DOI: 10.3389/fpubh.2018.00247] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Accepted: 08/15/2018] [Indexed: 12/12/2022] Open
Abstract
Public health genomics has evolved to responsibly integrate advancements in genomics into the fields of personalized medicine and public health. Appropriate, effective and sustainable integration of genomics into healthcare requires an organized approach. This paper outlines the history that led to the emergence of public health genomics as a distinguishable field. In addition, a range of activities are described that illustrate how genomics can be incorporated into public health practice. Finally, it presents the evolution of public health genomics into the new era of "precision public health."
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Affiliation(s)
- Caron M. Molster
- Office of Population Health Genomics, Public and Aboriginal Health Division, Western Australian Department of Health, East Perth, WA, Australia
| | - Faye L. Bowman
- Office of Population Health Genomics, Public and Aboriginal Health Division, Western Australian Department of Health, East Perth, WA, Australia
| | - Gemma A. Bilkey
- Office of Population Health Genomics, Public and Aboriginal Health Division, Western Australian Department of Health, East Perth, WA, Australia
- Office of the Chief Health Officer, Public and Aboriginal Health Division, Western Australian Department of Health, East Perth, WA, Australia
| | - Angela S. Cho
- Office of Population Health Genomics, Public and Aboriginal Health Division, Western Australian Department of Health, East Perth, WA, Australia
| | - Belinda L. Burns
- Office of Population Health Genomics, Public and Aboriginal Health Division, Western Australian Department of Health, East Perth, WA, Australia
| | - Kristen J. Nowak
- Office of Population Health Genomics, Public and Aboriginal Health Division, Western Australian Department of Health, East Perth, WA, Australia
- School of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Western Australia, Crawley, WA, Australia
- Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, Australia
| | - Hugh J. S. Dawkins
- Office of Population Health Genomics, Public and Aboriginal Health Division, Western Australian Department of Health, East Perth, WA, Australia
- School of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Western Australia, Crawley, WA, Australia
- Sir Walter Murdoch School of Policy and International Affairs, Murdoch University, Murdoch, WA, Australia
- School of Public Health, Curtin University of Technology, Bentley, WA, Australia
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Bruinenberg M, Frey M, Napier M, Summers A. Comparing the hub-and-spoke model practices of the LifeLines Study in the Netherlands and the H3Africa Initiative. Biopreserv Biobank 2014; 12:13-6. [PMID: 24620765 DOI: 10.1089/bio.2013.0057] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Biobank sample storage is critical in population health and epidemiology studies. Biobanks bridge two very different worlds: they connect to the participants and patients at an individual level, but they also aggregate information and represent the cutting edge of scientific discovery. In this brief report, we describe how the LifeLines study in the Netherlands manages its resources for communication and services, and how it can serve as a model for the Human Heredity and Health in Africa Initiative (H3Africa Initiative).
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Affiliation(s)
- Marcel Bruinenberg
- 1 LifeLines Cohort Study, University of Groningen , University Medical Center, Groningen, the Netherlands
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Stemerding D. Community genetics: 1998–2009…and beyond. J Community Genet 2010; 1:195-199. [PMID: 21475667 PMCID: PMC3063842 DOI: 10.1007/s12687-010-0018-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2010] [Accepted: 09/02/2010] [Indexed: 11/26/2022] Open
Affiliation(s)
- Dirk Stemerding
- Faculty of Management and Governance, Department of Science, Technology and Policy Studies, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands
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Hooper WC, Miller CH, Key NS. Complications associated with carrier status among people with blood disorders: a commentary. Am J Prev Med 2010; 38:S456-8. [PMID: 20331943 DOI: 10.1016/j.amepre.2010.01.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2009] [Revised: 12/17/2009] [Accepted: 01/07/2010] [Indexed: 11/19/2022]
Affiliation(s)
- W Craig Hooper
- Division of Blood Disorders, National Center on Birth Defects and Developmental Disabilities, CDC, Atlanta, GA 30333, USA.
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Gohlke JM, Thomas R, Zhang Y, Rosenstein MC, Davis AP, Murphy C, Becker KG, Mattingly CJ, Portier CJ. Genetic and environmental pathways to complex diseases. BMC SYSTEMS BIOLOGY 2009; 3:46. [PMID: 19416532 PMCID: PMC2680807 DOI: 10.1186/1752-0509-3-46] [Citation(s) in RCA: 62] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/15/2009] [Accepted: 05/05/2009] [Indexed: 12/23/2022]
Abstract
BACKGROUND Pathogenesis of complex diseases involves the integration of genetic and environmental factors over time, making it particularly difficult to tease apart relationships between phenotype, genotype, and environmental factors using traditional experimental approaches. RESULTS Using gene-centered databases, we have developed a network of complex diseases and environmental factors through the identification of key molecular pathways associated with both genetic and environmental contributions. Comparison with known chemical disease relationships and analysis of transcriptional regulation from gene expression datasets for several environmental factors and phenotypes clustered in a metabolic syndrome and neuropsychiatric subnetwork supports our network hypotheses. This analysis identifies natural and synthetic retinoids, antipsychotic medications, Omega 3 fatty acids, and pyrethroid pesticides as potential environmental modulators of metabolic syndrome phenotypes through PPAR and adipocytokine signaling and organophosphate pesticides as potential environmental modulators of neuropsychiatric phenotypes. CONCLUSION Identification of key regulatory pathways that integrate genetic and environmental modulators define disease associated targets that will allow for efficient screening of large numbers of environmental factors, screening that could set priorities for further research and guide public health decisions.
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Affiliation(s)
- Julia M Gohlke
- Environmental Systems Biology Group, Laboratory of Molecular Toxicology, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Reuben Thomas
- Environmental Systems Biology Group, Laboratory of Molecular Toxicology, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
| | - Yonqing Zhang
- Gene Expression and Genomics Unit, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - Michael C Rosenstein
- Department of Bioinformatics, Mount Desert Island Biological Laboratory, Old Bar Harbor Road, Salisbury Cove, ME 04672, USA
| | - Allan P Davis
- Department of Bioinformatics, Mount Desert Island Biological Laboratory, Old Bar Harbor Road, Salisbury Cove, ME 04672, USA
| | - Cynthia Murphy
- Department of Bioinformatics, Mount Desert Island Biological Laboratory, Old Bar Harbor Road, Salisbury Cove, ME 04672, USA
| | - Kevin G Becker
- Gene Expression and Genomics Unit, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - Carolyn J Mattingly
- Department of Bioinformatics, Mount Desert Island Biological Laboratory, Old Bar Harbor Road, Salisbury Cove, ME 04672, USA
| | - Christopher J Portier
- Environmental Systems Biology Group, Laboratory of Molecular Toxicology, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA
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Brand AM, Probst-Hensch NM. Biobanking for epidemiological research and public health. Pathobiology 2007; 74:227-38. [PMID: 17709965 DOI: 10.1159/000104450] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
Almost all healthcare systems are currently facing fundamental challenges. New ways of organizing these systems based on novel knowledge and stakeholders' different needs are required to meet these challenges at the appropriate time. In this context, the issue of biobanking has become a specific challenge having major implications for future research and policy strategies as well as for the healthcare systems in general. Medicine is currently undergoing remarkable developments from its morphological and phenotype orientation to a molecular and genotype orientation, promoting the importance of prognosis and prediction. Yet, the discussion about the relevance of integrating genome-based information into biobanks and about the role of genome-based biobanking for epidemiological research and public health is still at the beginning. The following article contributes to this discussion by focusing on the use of genome-based biobanking for epidemiological research, surveillance systems, health policy development, individual health information management and effective health services.
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Affiliation(s)
- Angela M Brand
- German Center for Public Health Genomics, Bielefeld, Germany.
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